Jobs

Here you will find job advertisements from the wind energy sector. Please use the input form to publish job advertisements.

23/10/19
PhD Scholarship in Optical remote sensing lidar in wind tunnels
Organization:
Technical University of Denmark, DTU Wind Energy
Location:
Roskilde, Denmark
Application deadline:
23/10/19
The Department of Wind Energy in the Technical University of Denmark (DTU Wind Energy) is seeking a PhD for the Section of Meteorology and Remote Sensing.

DTU Wind Energy is a mission driven university department with a vision to be the preferred university partner for the global wind energy sector. The department creates value for society through integration of research with education, innovation and research-based consultancy within key fields central to the development and use of wind energy.

Please look at www.vindenergi.dtu.dk for more details on the type of activities we undertake.

Responsibilities and tasks
The aim of the study is to investigate and develop the potential of using optical remote sensing lidars for wind measurements in wind tunnels and connect it with aerodynamic, wind engineering, and wind energy applications.

You will be nurturing the exciting new developments for wind measurements in wind tunnels that have a tight kinship with the past decade of DTU Wind Energy fostered development and application of the WindScanner concept of synchronized scanning Doppler lidars for 3D measurements of wind fields around for instance full-scale wind turbines and other structures (http://www.windscanner.eu/).

You will investigate various signal processing schemes and beam scanning methods for shorter ranges including but not limited to the possibility of moving the whole continuous-wave Doppler lidar telescope by a steerable platform such as a robotic arm for remote sensing of flows on the meter-scale with sampling volumes of a few centimeters.

You will commit with lidar set-ups and support with analysis in applied aerodynamic, wind engineering, and wind energy cooperative research campaigns in wind tunnels together with researchers, engineers, and technicians with a broad spectrum of expertise.

Expected results
A research educated expert on experimental optical lidar remote sensing of wind.
Wind lidar concept and instrument development.
Measurement campaign in the FORCE Technology wind tunnel (Denmark) with controllable turbulence and backscattering for studying the lidar instrument characteristics (https://forcetechnology.com/en/all-industry-facilities/wind-tunnel-facility).
Applied lidar measurements on wind turbine blade profiles in the new Danish Poul la Cour aerodynamic and acoustic wind tunnel with speeds up to 105 m/s (http://www.plct.dk).
Applied measurement campaign on flow around bridges, wind turbines, and other scaled structures in the PoliMi wind tunnel (Italy) interlinking with other LIKE PhD studies relating to bridges and wind turbines (http://www.windtunnel.polimi.it/).
Qualifications
Candidates should have a master's degree in engineering or physics or a similar degree with an academic level equivalent to the master's degree in physics, engineering or similar.

The successful candidate is also required to have:
Desire for experimental hands-on work combined with a mathematical mindset.
Passion for data signal processing and measurement data analysis.
Curiosity and a willingness to learn about instrument control, data acquisition, motion control systems, robotics, aerodynamics, and meteorology.
Wishes to acquire deep knowledge and experience with electro-optical, and opto-mechanical techniques; especially Lidar technology for wind measurements.
Ability to work in a project team and take responsibility for own research goals.
Fluency in communicating and reporting in English.
In addition, the successful candidate should satisfy at the time of the recruitment the following mandatory characteristics:
having not more than 4 years of equivalent research experience (i.e. working as researcher after obtaining your master’s degree);
having not been awarded a title of PhD;
having not resided or carried out her/his main activity in Denmark; for more than 12 months in the last 3 years.
The successful candidate must also fulfill the requirements for admission to a doctoral program at DTU.

The present PhD project will take advantage of collaboration with researchers and engineers at Technical University of Denmark, Politecnico di Milano, and FORCE Technology.

Starting Date: 1st January 2020 (preferable) and latest 1st April 2020.

Duration: 36 months.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.

Assessment
The assessment of the applicants will be made by Head of Section, Dr. Hans E. Jørgensen, Prof. Jakob Mann, Dr. Charlotte Hasager, and Dr. Mikael Sjöholm from DTU.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is 3 years.

For more info about salary calculation, the requisites for Family allowance and more details on the employment conditions, please see the founding body rules: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf

The workplace will be DTU Wind Energy, Risø Campus in Roskilde. During the 3 years of employment, one stay at Politecnico di Milano, Italy of 4 months duration will take place with a focus on measurements of flow around small objects. Also stays at FORCE Technology, Denmark of in total 4 months duration with a focus on wind tunnel measurements with lidar should be expected.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Dr. Senior Researcher, Supervisor of the present PhD project, Mikael Sjöholm, misj@dtu.dk, +45 2132 7254, Dr. Senior Researcher, Team-leader of the Section Meteorology and Remote Sensing, , LIKE project manager Charlotte Hasager, cbha@dtu.dk, +45 4677 5014, or Professor Jakob Mann, jmsq@dtu.dk, +45 2136 2962.

You can read more about DTU Wind Energy on www.vindenergi.dtu.dk/english.

Application
Please submit your online application no later than 23 October 2019 (local time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill in the online application form, and attach all your materials in English in one PDF file. The file must include:
A letter motivating the application (cover letter)
Curriculum vitae
Grade transcripts and BSc/MSc diploma
Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)
A 1-page research statement. Through the research statement, the applicants have the chance to present a research problem that interests them and propose how it might be investigated. The research problem should be preferably related to the topic of the advertised PhD position
Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
23/10/19
PhD Scholarship in Wind lidar probe volume reduction using numerical range limited scanning using a continuous wave (CW) laser source modulated by synthetic phase noise
Organization:
Technical University of Denmark, DTU Wind Energy
Location:
Roskilde, Denmark
Application deadline:
23/10/19
The Department of Wind Energy in the Technical University of Denmark (DTU Wind Energy) is seeking a PhD for the Section of Meteorology and Remote Sensing.

DTU Wind Energy is a mission driven university department with a vision to be the preferred university partner for the global wind energy sector. The department creates value for society through integration of research with education, innovation and research-based consultancy within key fields central to the development and use of wind energy.

Please look at www.vindenergi.dtu.dk for more details on the type of activities we undertake.

Responsibilities and tasks
Doppler lidars are increasingly being used in the wind energy industry to assess wind resources and measure the turbulent wind flow coming onto the wind turbine rotor. Soon, all wind turbines might be equipped with a Doppler lidar. The aim of the study is to improve the capabilities of lidars and prove the improvements by field experiments.

For the class of Doppler lidars called continuous-wave lidar, which can be made cheap and robust, the problem is that the measurement volume is quite large for long measurement distances. This hinders the lidar in measuring turbulence and it also makes the lidar susceptible to moving object in far from the intended measurement point. Both drawbacks are problematic for wind turbine applications. New optical components make it possible to deploy recently invented low-coherence methods that greatly compactifies the measurement volume. The applicant will understand the technology and possibly develop it further, implement it in existing scanning lidars, and test the capabilities of the technique thoroughly in the field.

Expected results
The following are the main expected outputs from this PhD study:

1) Understand and improve techniques to make the measurement volume of continuous-wave Doppler lidars more compact.
2) Implement the system in scanning lidar systems used for wind energy research
3) Document the advantages and disadvantages of the technology by field experiments.

Qualifications
Candidates should have a master's degree in physics, engineering or a similar degree.

The successful candidate is also required to have:
Documented background at the highest level in physics, optics, and mathematics.
Capabilities in data analysis and programming
Ability to work in a project team and take responsibility for own research goals
Fluency in communicating and reporting in English
In addition, the successful candidate should satisfy at the time of the recruitment the following mandatory characteristics:
having not more than 4 years of equivalent research experience (i.e. working as researcher after obtaining your master’s degree);
having not been awarded a title of PhD;
having not resided or carried out her/his main activity in Denmark; for more than 12 months in the last 3 years.
The successful candidate must also fulfill the requirements for admission to a doctoral program at DTU.

The present PhD project will take advantage of collaboration with researchers at DTU, and laboratories or companies in Germany in the United States.

Starting Date: 1st January 2020 (preferable) and latest 1st April 2020.

Duration: 36 months.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.

Assessment
The assessment of the applicants will be made by Head of Section, Dr. Hans E. Jørgensen, Prof. Jakob Mann and Dr. Charlotte Hasager from DTU, and an employee from Metek GmbH, Germany.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is 3 years.

For more info about salary calculation, the requisites for Family allowance and more details on the employment conditions, please see the founding body rules: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf

The workplace will be DTU Wind Energy, Risø Campus in Roskilde. During the 3 years of employment, one stay at the meteorological instrument company Metek GmbH in Germany planned to be of 3 months duration will take place. Also one stay at an American research laboratory of 3 months duration is foreseen.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Supervisor of the present PhD project, Professor Jakob Mann, jmsq@dtu.dk, +45 2136 2962.

You can read more about DTU Wind Energy on www.vindenergi.dtu.dk/english.
Application
Please submit your online application no later than 23 October 2019 (local time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill in the online application form, and attach all your materials in English in one PDF file. The file must include:
A letter motivating the application (cover letter)
Curriculum vitae
Grade transcripts and BSc/MSc diploma
Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)
A 1-page research statement. Through the research statement, the applicants have the chance to present a research problem that interests them and propose how it might be investigated. The research problem should be preferably related to the topic of the advertised PhD position.
Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
23/10/19
PhD Scholarship in Aeolus satellite lidar for wind mapping
Organization:
Technical University of Denmark
Location:
Roskilde, Denmark
Application deadline:
23/10/19
The Department of Wind Energy in the Technical University of Denmark (DTU Wind Energy) is seeking a PhD for the Section of Meteorology and Remote Sensing.

DTU Wind Energy is a mission driven university department with a vision to be the preferred university partner for the global wind energy sector. The department creates value for society through integration of research with education, innovation and research-based consultancy within key fields central to the development and use of wind energy.

Please look at www.vindenergi.dtu.dk for more details on the type of activities we undertake.

Responsibilities and tasks
The aim of the study is to investigate the potential of the Aeolus satellite lidar data for wind mapping for wind energy application.

Aeolus lidar wind data are a novel source of wind profiling data with around 64.000 profiles taken each day globally. In remote areas, the expected benefit in wind modelling is the largest such as the tropics but also in regions with limited observations, such as offshore. The focus is on data quality from the Aeolus lidar compared to ground-based data, and assimilation of Aeolus data into numerical modelling of winds. The quality of Aeolus winds in the planetary boundary layer will be evaluated using collocations of Aeolus with ECMWF profiles and compare these to winds from wind farms and other observations for quality evaluation in a triple collocation exercise. Furthermore, the study will involve the improvement in forecast using Aeolus winds; possibly using ECMWF experiments with/without Aeolus winds assimilated and evaluate their performance. Finally, test the results of the assimilation of Aeolus winds in regional models relevant for wind energy application. Aeolus is the first Doppler lidar in space and it has yet to be used for wind energy applications.

Expected results
The following are the main expected outputs from this PhD study:

1) Assessment of novel satellite Aeolus lidar data for wind mapping.
2) Comparison of satellite wind data with modelled winds from wind farms, offshore platform or ship-mounted lidars offshore.
3) Apply Aeolus lidar data to wind energy resource estimation.

Qualifications
Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in Meteorology, Physical Sciences, Engineering, Remote Sensing or similar.

The successful candidate is also required to have:
Documented background in meteorology and/or wind-power meteorology
Documented background in remote sensing
Background in data analysis of large amount of data files and programming
Ability to work in a project team and take responsibility for own research goals
Fluency in communicating and reporting in English
In addition, the successful candidate should satisfy at the time of the recruitment the following mandatory characteristics:
having not more than 4 years of equivalent research experience (i.e. working as researcher after obtaining your master’s degree);
having not been awarded a title of PhD;
having not resided or carried out her/his main activity in Denmark; for more than 12 months in the last 3 years.
The successful candidate must also fulfill the requirements for admission to a doctoral program at DTU.

The present PhD project will take advantage of collaboration with researchers at DTU, KNMI and Fraunhofer IWES.

Starting Date: 1st January 2020 (preferable) and latest 1st April 2020.

Duration: 36 months.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.

Assessment
The assessment of the applicants will be made by Head of Section, Dr. Hans E. Jørgensen, Prof. Jakob Mann and Dr. Charlotte Hasager from DTU.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is 3 years.

For more info about salary calculation, the requisites for Family allowance and more details on the employment conditions, please see the founding body rules: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf

The workplace will be DTU Wind Energy, Risø Campus in Roskilde. During the 3 years of employment, one stay at KNMI of 4 months duration will take place with a focus on investigating Aeolus lidar data triple collocation and data assimilation part of the study. Also one stay at Fraunhofer IWES of 2 months duration with a focus on comparison of offshore wind profiling lidar data with modelled and observed winds from Aeolus lidar is planned.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Dr. Senior Researcher, Supervisor of the present PhD project, Team-leader of the Section Meteorology and Remote Sensing, Charlotte Hasager, cbha@dtu.dk, +45 4677 5014, or Professor Jakob Mann, jmsq@dtu.dk, +45 2136 2962.

You can read more about DTU Wind Energy on www.vindenergi.dtu.dk/english.

Application
Please submit your online application no later than 23 October 2019 (local time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill in the online application form, and attach all your materials in English in one PDF file. The file must include:
A letter motivating the application (cover letter)
Curriculum vitae
Grade transcripts and BSc/MSc diploma
Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)
A 1-page research statement. Through the research statement, the applicants have the chance to present a research problem that interests them and propose how it might be investigated. The research problem should be preferably related to the topic of the advertised PhD position.
Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
23/10/19
PhD Scholarship in Atmospheric turbulence characterization under inhomogeneous inflow conditions using nacelle-lidar measurements
Organization:
Technical University of Denmark, DTU Wind Energy
Location:
Roskilde, Denmark
Application deadline:
23/10/19
The Department of Wind Energy in the Technical University of Denmark (DTU Wind Energy) is seeking a PhD for the Section of Meteorology and Remote Sensing.

DTU Wind Energy is a mission driven university department with a vision to be the preferred university partner for the global wind energy sector. The department creates value for society through integration of research with education, innovation and research-based consultancy within key fields central to the development and use of wind energy.

Please look at www.vindenergi.dtu.dk for more details on the type of activities we undertake.

Responsibilities and tasks
Nacelle lidars have a great potential for improving the energy capture of wind turbines as they can potentially measure more effectively over the volume of air that interacts with the turbine compared to traditional nacelle anemometry. Therefore, turbine control strategies, and load assessment and validation methods, among others, can enormously benefit from nacelle-lidar measurements. Wind turbines typically yaw with the wind; thus nacelle lidars have the advantage to measure radial velocities (and the variances of those) close or equal to the longitudinal wind speed component (and its variance), which is the main driver for load estimation, and a key parameter for power performance assessments and wake-deficit characterization. Therefore, it is important to find ways to characterize the inhomogeneous inflow using nacelle-lidar measurements, since such inflow conditions are those experienced by the current wind turbines due to their sizes and deployment locations.

The objectives of the PhD project are to

1) investigate how to characterize the inflow with nacelle-lidar measurements under inhomogeneous conditions, e.g. flow under wake situations and flow interacting with very large wind turbines.
2) analyze the best ways and strategies to scan inhomogeneous inflow with nacelle lidars for optimizing the turbine’s energy capture and for mitigation of the loads for both individual turbines and wind farms.
3) evaluate the benefits of retrieval of high-order wind field characteristics from nacelle-lidar measurements for both wake modelling and control strategies.

Expected results
The following are the main expected outputs from this PhD study:
A comprehensive study on how to characterize inhomogeneous inflow using lidar measurements
Propose strategies for optimal scanning of inhomogeneous inflow and turbulence using lidars
Demonstrate the benefits of lidar-based turbulence retrievals for control strategies
Qualifications
Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in Meteorology, Physical Sciences, Engineering, Remote Sensing or similar.

The successful candidate is also required to have:
Documented background in boundary-layer and/or wind-power meteorology
Documented background in atmospheric turbulence
Background in turbine control is encouraged
Background in numerical simulation of atmospheric flow is encouraged
Ability to work in a project team and take responsibility for own research goals
Fluency in communicating and reporting in English
In addition, the successful candidate should satisfy at the time of the recruitment the following mandatory characteristics:
having not more than 4 years of equivalent research experience (i.e. working as researcher after obtaining your master’s degree);
having not been awarded a title of PhD;
having not resided or carried out her/his main activity in Denmark; for more than 12 months in the last 3 years.
The successful candidate must also fulfill the requirements for admission to a doctoral program at DTU.

The present PhD project will take advantage of collaboration with researchers at DTU, Flensburg University of Applied Sciences, and Renewable Energy Systems.

Starting Date: 1st January 2020 (preferable) and latest 1st April 2020.

Duration: 36 months.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.

Assessment
The assessment of the applicants will be made by Head of Section, Dr. Hans E. Jørgensen, Prof. Jakob Mann, Dr. Charlotte Hasager and Dr. Alfredo Pena from DTU.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is 3 years.

For more info about salary calculation, the requisites for Family allowance and more details on the employment conditions, please see the founding body rules: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf

The workplace will be DTU Wind Energy, Risø Campus in Roskilde. During the 3 years of employment, one stay at Flensburg University of Applied Sciences of 4 months duration will take place. Also one stay at Renewable Energy Systems of 2 months duration is envisioned.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Dr. Senior Researcher, Supervisor of the present PhD project, Scientist Alfredo Pena, aldi@dtu.dk, +45 2367 6361, Team-leader of the Section Meteorology and Remote Sensing, LIKE project manager Charlotte Hasager, cbha@dtu.dk, +45 4677 5014, or Professor Jakob Mann, jmsq@dtu.dk, +45 2136 2962.

You can read more about DTU Wind Energy on www.vindenergi.dtu.dk/english.

Application
Please submit your online application no later than 23 October 2019 (local time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill in the online application form, and attach all your materials in English in one PDF file. The file must include:
A letter motivating the application (cover letter)
Curriculum vitae
Grade transcripts and BSc/MSc diploma
Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)
A 1-page research statement. Through the research statement, the applicants have the chance to present a research problem that interests them and propose how it might be investigated. The research problem should be preferably related to the topic of the advertised PhD position.
Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
23/10/19
PhD Scholarship in Characterization of power performance of a wind turbine inside a wind farm
Organization:
Technical University of Denmark, DTU Wind Energy
Location:
Roskilde, Denmark
Application deadline:
23/10/19
The Department of Wind Energy in the Technical University of Denmark (DTU Wind Energy) is seeking a PhD for the Section of Meteorology and Remote Sensing.

DTU Wind Energy is a mission driven university department with a vision to be the preferred university partner for the global wind energy sector. The department creates value for society through integration of research with education, innovation and research-based consultancy within key fields central to the development and use of wind energy.

Please look at www.vindenergi.dtu.dk for more details on the type of activities we undertake.

Responsibilities and tasks
Characterization of the power performance of wind turbines is central to wind energy economics Power curve measurements, which relate the turbine power output to an inflow wind speed, are needed to estimate the energy yield of wind farm and to verify the performance of production turbine. Power curve testing procedures are described in very much detail in international standards, providing the basis for contractual purposes for the various stakeholders. However, those procedures are exclusively addressing the performance of isolated wind turbines, whereas wind turbines are most of the time part of wind farms made of several units, quite often several tens of turbines. This PhD project will investigate the actual power performance of one wind turbine, which is part of a wind farm. The purpose is to determine how to characterize the influence of the surrounding turbines on the individual turbine performance (e.g. due to wake effects increasing significantly the turbulence levels behind the wind turbines and the global blockage effect of the turbine array slowing down the incoming wind) using measurements from a turbine mounted lidar.

The PhD candidate is expected to collaborate closely with other PhD students in the LIKE project, especially ESR 9 on intra wind farm wake dynamics and ESR 12 on turbulence characterization using nacelle mounted lidars. The PhD project also includes two secondments of 3 months each: one in University of Oldenburg, Germany, related to study the wake behavior and wake measurements using nacelle lidars and one in DNV GL in Madrid, Spain (or Seattle, USA) about application of the measurement procedure to real wind farm data.

Expected results
Characterization of the influence of the surrounding turbines on the turbine performance
Definition of the relevant inflow characteristics
Derivation of those characteristics from a nacelle mounted lidar.
Identification of possible improvement in wind farm energy yield.
Qualifications
Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in Meteorology, Physical Sciences, Engineering, Remote Sensing or similar. Knowledge of wind measurement techniques, especially lidars, and of flow modelling and wind turbine aeroelastic modelling would be appreciated.

The successful candidate is also required to have:
Documented background in wind energy
Documented background in remote sensing
Background in data analysis of large amount of data and programming
Ability to work in a project team and take responsibility for own research goals
Fluency in communicating and reporting in English
In addition, the successful candidate should satisfy at the time of the recruitment the following mandatory characteristics:
having not more than 4 years of equivalent research experience (i.e. working as researcher after obtaining your master’s degree);
having not been awarded a title of PhD;
having not resided or carried out her/his main activity in Denmark; for more than 12 months in the last 3 years.
The successful candidate must also fulfill the requirements for admission to a doctoral program at DTU.

The present PhD project will take advantage of collaboration with researchers at DTU, University of Oldenburg and DNV GL.

Starting Date: 1st January 2020 (preferable) and latest 1st April 2020.

Duration: 36 months.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.

Assessment
The assessment of the applicants will be made by Head of Section, Dr. Hans E. Jørgensen, Prof. Jakob Mann, Dr. Charlotte Hasager and Dr. Rozenn Wagner from DTU.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is 3 years.

For more info about salary calculation, the requisites for Family allowance and more details on the employment conditions, please see the founding body rules: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf

The workplace will be DTU Wind Energy, Risø Campus in Roskilde. During the 3 years of employment, one stay will take place at University of Oldenburg, Germany, for a duration of 3 months, with focus on the wake behavior and wake measurements using nacelle lidars, and another 3 months-stay will take place in DNV GL offices in Madrid, Spain (or maybe Seattle, USA) where the measurement procedures developed during the PhD project can be tested on full scale windfarm dataset.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Dr. Senior Researcher, Supervisor of the present PhD project, Rozenn Wagner, rozn@dtu.dk, +45 2367 2894, Dr. Senior Researcher, Team-leader of the Section Meteorology and Remote Sensing, LIKE project manager Charlotte Hasager, cbha@dtu.dk, +45 4677 5014, or Professor Jakob Mann, jmsq@dtu.dk, +45 2136 2962.

You can read more about DTU Wind Energy on www.vindenergi.dtu.dk/english.

Application
Please submit your online application no later than 23 October 2019 (local time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill in the online application form, and attach all your materials in English in one PDF file. The file must include:
A letter motivating the application (cover letter)
Curriculum vitae
Grade transcripts and BSc/MSc diploma
Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)
A 1-page research statement. Through the research statement, the applicants have the chance to present a research problem that interests them and propose how it might be investigated. The research problem should be preferably related to the topic of the advertised PhD position.
Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
30/10/19
PhD Position -Development of an uncertainty model for modular wind lidar designs
Organization:
Stuttgart Wind Energy (SWE) at Institut of Aircraft Design, University of Stuttgart
Location:
Stuttgart, Germany
Application deadline:
30/10/19
Application link:
EU RESEARCH FRAMEWORK PROGRAMME: H2020 / Marie Sk?odowska-Curie Actions
MARIE CURIE GRANT AGREEMENT NUMBER: 858358

General information about the Lidar Knowledge Europe (LIKE) project:
LIdar Knowledge Europe (LIKE) fosters training and education of young researchers on emerging laser-based wind measurement technologies and its translation into industrial applications. Doppler Lidars (light detection and ranging) that measured the wind in the atmosphere remotely have reduced in price and increased reliability over the last decade mainly driven by European universities and companies serving the growing wind energy industry. This opens the possibility for new applications in many areas. LIKE improves, tests and refines the technology thus expanding these areas of application. LIKE promotes wind energy applications such as wind resource mapping using scanning lidars and control of individual wind turbines or entire wind farms in order to increase energy production and reduce mechanical loads. LIKE maps unusual atmospheric flow patterns over airports in real-time and thus improves the safety of landing aircrafts. LIKE explores wind and turbulence under extreme conditions at the sites of future European bridges paving the road for optimal bridge design. LIKE trains 15 ESRs to an outstanding level at world-leading European academic institutions and industrial companies, thus forming strong interdisciplinary relations between industry and technical sciences. These relations are implemented through employment of the ESRs at academia as well as industry, and through inter-sectoral secondments. Finally, translation of technology into specific applications is emphasised through the implementation of an entrepreneurship training course LIKE partners, particularly industry.

Title of the ESR_PhD Research Project (ESR3):
Development of an uncertainty model for modular lidar designs based on the OpenLidar architecture.

Abstract of research project:
Stuttgart Wind Energy (SWE) is seeking an enthusiastic PhD student to work on the “Development of an uncertainty model for modular lidar designs based on the OpenLidar architecture”. The aim of this PhD project is to understand the uncertainties associated with the hardware design and data processing of lidar based on the OpenLidar architecture. The ultimate aim is the design and implementation of a model framework for wind lidar measurement uncertainty for specific use cases.
SWE is internationally well known for pioneering work in the area of wind lidar for wind energy applications. We are constantly looking for new ways to understand better the wind by developing new lidar hardware and models. We explore new applications, and look for opportunities to apply the results of the research to wind energy. SWE has been a driving force in the adoption of wind lidar for wind turbine and wind plant controls, which will continue to be an important application in the future. We work on a wide range of national and international projects and act as Operating Agent for the IEA Wind Task 32. The working environment is very dynamic and international and Stuttgart is located in a region known for technological innovation and research.
Expected results
The measurement of the wind speed using a lidar is inherently uncertain due to the measurement procedure. To facilitate lidar technology development and optimization, a tool is required that allows uncertainty to be evaluated before a lidar is built. This project will develop a general uncertainty model framework for two common lidar instruments (profiling lidar and forward-looking nacelle-mounted lidar) using the OpenLidar modular architecture concept (see Clifton et al.) with the goal of identifying the exact characteristics of all components which make a lidar related to uncertainty quantification.
Outcome: 1) Generalization of an uncertainty model framework that includes the measurement process in hardware and subsequent data analysis. 2) Development of uncertainty models for different parts of the measurement process in hardware and data analysis. 3) Implementation of uncertainty models and framework for the OpenLidar platform by developing a modular tool for the conceptual design of a lidar. 4) Analysis of current vertically profiling and forward-looking lidar designs to validate the models. The result of this innovation: Creating an open source uncertainty estimation tool. Online analysis of uncertainty.

Job description and eligibility criteria:
Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in Metrology, Physical Sciences, Engineering, Mechatronics, Computer Science
The successful candidate is required to have:
• Solid command of mathematical modelling of uncertainties
• Motivation to dive into difficult research question
• Ability to work both independently and cooperate effectively in a team
• Creativity, analytical skills, and perseverance for scientific work.
• Fluency in communicating and reporting in English

The candidate would benefit from having:
• Basic experience in the development or use of wind lidar
• Basic knowledge of wind energy
• Experience with field measurements and measurements in the lab
• Some knowledge of the German language

In addition, the successful candidate should satisfy at the time of the recruitment the following mandatory characteristics:
• Having not more than 4 years of equivalent research experience (i.e. working as researcher after obtaining your master’s degree)
• Having not been awarded a PhD degree
• Having not resided or carried out her/his main activity in Germany for more than 12 months in the last 3 years

Starting Date: latest 1st April 2020
Duration: 36 months
Deadline for the application: 31st October 2019

Salary:
The amount corresponds to the amount the university receives from the Research Executive Agency for the researcher costs and includes the living and mobility allowance as well as a family allowance, if applicable. It is a gross amount and includes the employer's share of social security contributions and the employee’s share of social security contributions, including tax. The obligation to pay taxes and to contribute to social insurance (health, nursing, unemployment and pension insurance) is based on the relevant regulations.
For more info about salary calculation, the requisites for family allowance and more details on the employment conditions, please see the founding body rules: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf

Approval and Enrolment
The PhD degree are subject to academic approval, and the candidates will be enrolled as a PhD student at University of Stuttgart. For information about the general requirements for enrolment, please see the University of Stuttgart PhD Guide.

Application
Please send your electronic application in English or German with curriculum vitae, transcript of grades, job references, and an electronic copy of the final thesis of your studies or relevant research papers to
Ms. Sabine Mitchell
Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
Allmandring 5B, 70569 Stuttgart
Phone: +49 711 685-68253
E-Mail: mitchell@ifb.uni-stuttgart.de

The University of Stuttgart strives to increase the number of females in science and encourages women to apply. Applicants with disability and with equal qualifications will be given preference.

Workplace:
The workplace will be at Stuttgart Wind Energy (SWE) which is affiliated at the Institute of Aircraft Design (IFB), Allmandring 5B, 70569 Stuttgart

Further information at www.msca-like.eu

Reference
Clifton et al. A. Clifton, N. Vasiljevic, I. Wuerth, S. Raach, F. Haizmann, and H. Fuerst, “The OpenLidar Initiative for collaboration on wind lidar hardware and software,” Sep. 2019, Available: https://doi.org/10.5281/zenodo.3414197
31/10/19
Post-doctoral researcher in wind turbine dynamics and lifetime prediction
Organization:
Chalmers University of Technology
Location:
Göteborg, Sweden
Application deadline:
31/10/19
Application link:
Information about the division and the research
The division of Dynamics at the Department of Mechanics and Maritime Sciences is seeking a new postdoctoral researcher in the area of wind turbine dynamics.

The research will be conducted within the project "Site-Adaptive Analysis Methods to Predict and Enhance Lifetime of Wind Turbines" and is funded by Swedish Energy Agency and industrial partners via Swedish Wind Power Technology Center (SWPTC). The intended outcome will lead to more cost-efficient operation of wind turbines and therby contribute to a more sustainable energy production in Sweden.

The aim of your research project will be to develop methods for evaluating wind turbine operation with emphasis on predicting lifetime on drive train components (bearings, gears, etc.). Hence, you will consider the sequence “from wind to fatigue life”, and by simulation investigate how the site-specific conditions (terrain, forest, etc.) affect the fatigue life of turbine drive trains. Your project is part of a larger effort to develop simulation tools to assess the effect from terrain, such as topography on wind turbine operation. The research is carried out within the Swedish Wind Power Technology Center (SWPTC) toghether with industrial partners.

The department of Mechanics and Maritime Sciences (M2) has about 300 employees and consists of seven research divisions within the areas of mechanical engineering and maritime sciences: Dynamics, Fluid Dynamics, Vehicle Safety, Vehicle Engineering & Autonomous Systems, Combustion and Propulsion Systems. Marine Technology, Maritime Studies. The seven divisions conduct fundamental and applied research in close collaboration with national and international universities and industries. The department also offers and contributes to bachelor and masters programs in areas such as Mechanical Engineering, Automotive Engineering and Marine Engineering. M2 is characterized by an international environment with employees and students from around the world.
The division of Dynamics has about 10 faculty members and 10 PhD students where the research activities are canalized via our research groups: Mechanical systems, Structural dynamics, Wave propagation, and Railway mechanics. The research focuses on various solid dynamics problems, especially vibrational problems but also other fields such as fatigue, wear, contact mechanics, wave propagation, optimization and dynamics of smart material. The projects range from basic to applied research, and includes theoretical modelling, numerical methods and experimental activities. Experiments are performed at the department's laboratory space "Vibrations and Smart Structures Lab" and through field measurements. As to our teaching activities, we provide several courses on bachelor level within mechanics and solid mechanics. At the masters' level, courses are given within the finite element method, rigid body dynamics, structural dynamics, fatigue and fracture mechanics.

Major responsibilities
Your major responsibility will be to pursue the research and development within the project. You are expected to develop your own scientific ideas and concepts, and to communicate the results of your research verbally and in writing. You will be guided by senior researchers from the research group Mechanical Systems at the division of Dynamics and collaborate with academic and industrial project partners.
The position also includes teaching on undergraduate or/and master's levels as well as supervising master's and/or PhD students to a certain extent. The position is meritorious for future research duties within academia as well as industry/the public sector.

Position summary
The position is a full-time temporary employment with a competitive salary and with social benefits. It is limited to a maximum of two years, starting with a one-year employment, followed by an evaluation. If the work is proceeding sufficiently well the employment will be extended for a second year.

Qualifications
To qualify as a Postdoctoral Researcher in the current project, you must have a PhD degree in a relevant field and your PhD degree must be from another university than Chalmers. The PhD degree should generally not be older than three years.

You have a strong interest in Solid mechanics and Dynamics modeling and simulation and experience from Wind Turbine Dynamics. You like to work in interdisciplinary projects and you have the ability to discuss and communicate your work with people of different backgrounds. We also believe that you are a motivated person, with a strong curiosity and a genuine wish to learn more and develop your skills and knowledge further in the fields of research, research communication and project management.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Please find here the Application Link
31/10/19
Post-doctoral position on the measurement of Turbulence Intensity by floating LiDAR
Organization:
Centrale Nantes / LHEEA
Location:
Nantes, France
Application deadline:
31/10/19
Application link:
The Laboratory of Hydrodynamics, Energetics and Atmospheric Environment (LHEEA) of Centrale Nantes in collaboration with the Scientific and Technical Center for Building (CSTB) is working on the measurement of atmospheric flows in order to obtain accurate wind resource assessments for wind energy applications. They have received the support of three industrial partners (data provision) and funding from the WEst-Atlantic Marine Energy Community (WEAMEC) to start a research project called MATILDA to characterize and improve the accuracy of the measurement of turbulence intensity by floating LiDAR.

The postdoctoral candidate will be affiliated within Laboratory of Hydrodynamics, Energetics and Atmospheric Environment (LHEEA) of Centrale Nantes, in the Ocean wave and marine renewable energy team. They will collaborate with research engineers from the Scientific and Technical Center for Building (CSTB) and will interact with industrial entities (AKROCEAN, EDF Renouvelables, VALOREM) that support the project, provide background on offshore wind resource assessment and provide data.

They will be in charge of:

  • processing the database provided by industrial partners in order to assess the measurement error on the turbulence intensity obtained with floating and fixed LiDAR profiler measurements
  • determining the influence of the sea state on the turbulence intensity measurement accuracy
  • developing and testing algorithms to correct the biased information
  • writing the specifications of a displacement system able to impose to a LiDAR system controlled motions similar to full scale floating motions

31/10/19
PhD Researcher on Lidar wind measurements of intra wind farm wake dynamics
Organization:
ForWind – Center for Wind Energy Research, University of Oldenburg
Location:
Oldenburg, Germay
Application deadline:
31/10/19
Application link:
At the research group Wind Energy Systems, ForWind – Center for Wind Energy Research, Institute of Physics of the Carl von Ossietzky University of Oldenburg, there is a vacant position starting on 1 January 2019 (preferably) and latest on 1 April 2020

Early Stage Researcher – PhD position (m/f/d)
Within the Marie Sklodowska-Curie Innovative Training Network LIdar Knowledge Europe (LIKE) the focus will be on
Lidar wind measurements of intra wind farm wake dynamics
Wakes inside and behind a wind farm have a large effect on the wind resource available to downstream wind turbines and other plants in a wind farm cluster. Lidar technology has evolved significantly in the last decade. Commercially available systems are now able to resolve wakes with high temporal and spatial resolution over distances of 10 kilometres and more. Besides, wake dynamics caused by large-scale turbulent structures and transient wind conditions like directional changes can be investigated by ground-, platform-, or nacelle-based measurement setups. Data fusion from different sensors, e.g. multiple lidars or information from lidar, meteorological towers and operational wind farm data, is gaining more importance for both scientific validation of wake models and industrial applications. Examples for the latter include very short-term power forecasting, wind farm control for improved grid integration, resource assessment in the vicinity of existing wind farms and quantification of wind farm cluster power losses.
To improve the detailed characterisation of wakes, especially in new wind farms equipped with turbines using very large rotor diameters, the Early Stage Researcher (ESR) is expected to develop an own approach to enhance the accuracy of long-range measurements. Beside practical aspects like the pointing accuracy over long distances and disturbances by the dynamic inclination of the measurement platform, this can address methodological developments like data filtering and recovery as well as wind field reconstruction and wake modelling. Among others, the ESR will be in direct exchange with an extensive measurement campaign with long-range lidar(s) in an offshore wind farm cluster.
Secondments within the PhD project, i.e. research stays of 4-6 months duration each, are planned at Siemens Gamesa and TNO (The Netherlands).

General information about the Lidar Knowledge Europe (LIKE) project
LIdar Knowledge Europe (LIKE) fosters training and education of young researchers on emerging laser-based wind measurement technologies and its translation into industrial applications. Doppler Lidars (light detection and ranging) that measured the wind in the atmosphere remotely have reduced in price and increased reliability over the last decade mainly driven by European universities and companies serving the growing wind energy industry. This opens the possibility for new applications in many areas. LIKE improves, tests and refines the technology thus expanding these areas of application. LIKE promotes wind energy applications such as wind resource mapping using scanning lidars and control of individual wind turbines or entire wind farms in order to increase energy production and reduce mechanical loads. LIKE maps unusual atmospheric flow patterns over airports in real-time and thus improves the safety of landing aircrafts. LIKE explores wind and turbulence under extreme conditions at the sites of future European bridges paving the road for optimal bridge design. LIKE trains 15 ESRs to an outstanding level at world-leading European academic institutions and industrial companies, thus forming strong interdisciplinary relations between industry and technical sciences. These relations are implemented through employment of the ESRs at academia as well as industry, and through inter-sectoral secondments. Finally, translation of technology into specific applications is emphasised through the implementation of an entrepreneurship training course LIKE partners, particularly industry.

Research environment at ForWind – University of Oldenburg
Wind energy research at the Carl von Ossietzky University of Oldenburg has gained international recognition by its integration into ForWind – Center for Wind Energy Research of the Universities of Oldenburg, Hanover and Bremen and into the national Wind Energy Research Alliance of German Aerospace Center, Fraunhofer Institute for Wind Energy Systems and ForWind. At Oldenburg international researchers from the fields of physics, meteorology, oceanography and engineering are collaborating at the «Research Laboratory for Turbulence and Wind Energy Systems» centred on wind physics. Laboratory experiments, free-field measurements and high-fidelity numerical simulations are utilized for the description and modelling of wind turbulence, the analysis of interactions of turbulence and wind energy systems and the design of wind turbine and wind farm control. State-of-the-art facilities include three turbulent wind tunnels, sensing equipment for free-field measurements at on- and offshore wind farms and an own high performance computing cluster. Two multi-lidar systems each equipped with three scanning lidars are of particular importance for the present project.

Job requirements and eligibility criteria
Candidates should have a qualified master's degree in Engineering or a similar degree with an academic level equivalent to the master's degree in Meteorology, Physical Sciences, Engineering, Wind Energy, Remote Sensing or similar.
The successful candidate is required to have:
  • profound knowledge of at least two of the following three fields: experimental or computational fluid dynamics, statistical data analysis of large data amounts, measurement techniques;
  • experience in programming with at least Matlab or Phyton;
  • ability to work in an international and interdisciplinary project team and take responsibility for own research goals;
  • high motivation and ability to work on a complex research topic;
  • fluency in communicating and reporting in English.

In addition, the successful candidate should satisfy the following mandatory characteristics at the time of the recruitment:
  • having not more than 4 years of equivalent research experience (i.e. working as researcher after obtaining your master's degree);
  • having not been awarded a title of PhD before;
  • having not resided or carried out her/his main activity in Germany for more than 12 months in the last 3 years.


Salary and contract
The salary according to the German public service salary scale TV-L E13 (100%) is identical to the one of a full-time research assistant. For additional information see the founding body rules: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf The period of employment is 3 years. The early stage researcher has to be enrolled for PhD at the Faculty of Mathematics and Science subject to academic approval.

Applications
Applications should be referenced #EAWE54 - ITN LIKE and must be submitted by email as one PDF file containing all materials in English to be given consideration no later than 31 October 2019 (local time) to

Carl von Ossietzky University of Oldenburg
Institute of Physics
ForWind – Center for Wind Energy Research
Research Group Wind Energy Systems
Prof. Dr. Martin Kühn
Küpkersweg 70, 26129 Oldenburg, Germany
Phone +49 441 798 5061
Email wesys.bewerbungen@forwind.de

The pdf file must include:
  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • References
  • A 1-page research statement. (Through the research statement, the applicants have the chance to present a research problem that interests them and propose how it might be investigated. The research problem should be preferably related to the topic of the advertised PhD position.)

A second PDF file containing the final thesis of the studies or relevant research papers (if available) is an optional attachment.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification.

Contact
Further information is available from the above-mentioned contact as well as at www.msca-like.eu and www.forwind.de.
31/10/19
PhD Researcher on Adaptive lidar systems for wind turbine control
Organization:
Wind Energy Technology Institute at Flensburg University of Applied Sciences
Location:
Flensburg, Germany
Application deadline:
31/10/19
Application link:
The Wind Energy Technology Institute at Flensburg University of Applied Sciences (FUAS) is seeking a
Research Associate (PhD Student) in Wind Energy (m/w/d)

The post is full-time and to be filled to 1. January 2020. The contract will run until 31. December 2022.

General information about the Lidar Knowledge Europe (LIKE) project
LIdar Knowledge Europe (LIKE) fosters training and education of young researchers on emerging laser-based wind measurement technologies and its translation into industrial applications. Doppler Lidars (light detection and ranging) that measured the wind in the atmosphere remotely have reduced in price and increased reliability over the last decade mainly driven by European universities and companies serving the growing wind energy industry. This opens the possibility for new applications in many areas. LIKE improves, tests and refines the technology thus expanding these areas of application. LIKE promotes wind energy applications such as wind resource mapping using scanning lidars and control of individual wind turbines or entire wind farms in order to increase energy production and reduce mechanical loads. LIKE maps unusual atmospheric flow patterns over airports in real-time and thus improves the safety of landing aircrafts. LIKE explores wind and turbulence under extreme conditions at the sites of future European bridges paving the road for optimal bridge design. LIKE trains 15 ESRs to an outstanding level at world-leading European academic institutions and industrial companies, thus forming strong interdisciplinary relations between industry and technical sciences. These relations are implemented through employment of the ESRs at academia as well as industry, and through inter-sectoral secondments. Finally, translation of technology into specific applications is emphasised through the implementation of an entrepreneurship training course LIKE partners, particularly industry.

Adaptive lidar systems for wind turbine control
Objectives: The main objective is to develop algorithms, which allow nacelle – or spinner based lidar systems to provide better signals to the wind turbine control system.

Expected Results: Lidar-assisted control is considered a promising technology to reduce the structural loads of wind turbines. Feedforward controller use the preview of the rotor effective wind speed from lidar systems to adjust the collective blade pitch angle to partly compensate the effect of changes in the wind speed to the wind turbine. The ESR investigates how to use effective wind preview for lidar-assisted wind turbine control only based on data collected by the turbine mounted lidar system will be explored. Innovative filter algorithms will be developed and tested, and to be as independent as possible, the algorithm developed will be implemented on a separate hardware (industrial pc) during the project. It is crucial to filter the signal quality to avoid unnecessary and harmful control action and to provide the signal at the right time to avoid that the turbine reacts too early or too late.

Proposed tasks within the PhD project:
  • Development of the algorithm in aero-elastic simulation.
  • Implementation of the algorithm on an industrial PC and hardware-in-the-loop test connecting the real-time capable industrial PC to the aero-elastic simulation.
  • Test of the algorithm with a commercial lidar system.
  • Test of the algorithm with a commercial lidar system on a commercial turbine.
  • Evaluation of the algorithm. Innovation: More intelligent lidar systems for wind turbine control.

Eligibility criteria:
Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in Control Engineering, Mechatronics, or similar.


The successful candidate is required to have:
  • Documented background in controls, signal processing, and programming
  • Ability to work in a project team and take responsibility for own research goals
  • Fluency in communicating and reporting in English
  • Knowledge on wind energy, meteorology, and remote sensing are beneficial

Who can apply?
PhD students or researchers with less than 4 years of research experience who
  • have a relevant excellent higher education degree completed less than 4 years ago
  • have not resided or carried out their main activity in Germany for more than 12 months in the 3 years immediately prior to taking up the position

We offer you:
  • The salary is determined by the German Federal States’ Wage Agreement for Public Service Employees (TV-L). The position will be remunerated with TV-L level 13.
  • hours per week: 38,7
  • 30 days of vacations per year
  • an interesting, diverse and challenging activity on a beautiful campus in the far north of Germany
  • a subsidized lunch in the University’s Restaurant
  • use of the University’s sports center at discounted rates
  • a pleasant working environment in a family-friendly environment and in a supportive team

FUAS encourages the inclusion of disabled people. Disabled applicants will therefore receive preference over equally qualified non-disabled applicants. FUAS seeks to increase the number of women in research and teaching and therefore explicitly encourages qualified women to apply for this post.
FUAS is committed to diversity and therefore encourages people from all cultural, ethnic, and religious backgrounds to apply for this post. This job advertisement is aimed equally at employees of the state of Schleswig-Holstein and at external applicants.
Please send your application including all the necessary documents (CV, certificates) to Flensburg University of Applied Sciences – Hochschule Flensburg, The Chancellor Sabine Christiansen, Postfach 15 61, 24905 Flensburg, Germany or e-mail your application to personal.bewerbungen@hs-flensburg.de. The application deadline is 30.10.2019

Please attach your complete documents in a maximum of 3 files in PDF format with a size of max. 10 MB -added with your name- to your application. For applications in paper form we ask you to send copies only since the application documents cannot be returned.
We explicitly ask all applicants not to include a photograph in your application.
13/11/19
Early Stage Researcher / PhD Position (f/m) focusing on Floating Lidar For the EU funded Project »Lidar Knowledge Europe (LIKE)«
Organization:
Fraunhofer Institute for Wind Energy Systems IWES
Location:
Bremerhaven, Germany
Application deadline:
13/11/19
Application link:
The duties awaiting you …
Fraunhofer IWES, as partner in the »LIKE« consortium, provides a PhD position for the project »Combination of floating lidar measurements with numerical modelling for an integrated offshore wind resource assessment« (ESR 4). The overall research objective of the PhD project is to investigate how floating lidar technology, installed on a frequently running ferry connection, should be applied in an optimal way to assess wind energy relevant offshore wind resources and site conditions, both in combination with mesoscale flow modelling and the use of satellite remote sensing data. Amongst other things, this includes the definition of the optimal lidar setup and configuration for this type of application, an integrated data concept considering the different data sources, a methodology for an optimal combination of different data sources, and a comprehensive uncertainty assessment.

Bored? Not here!
Your day-to-day work is very varied as you will combine high-level research with industry relevant applications. You will have your position at Fraunhofer IWES but also be part of a European network of young researchers including trainings and research stays at different institutions – in particular, you will have three secondments of 2 - 3 months each at the University Bergen (Norway), the University Oldenburg (Germany) and DTU Wind Energy (Denmark).

You have a master’s degree or diploma in Engineering or a scientific discipline?
Your focus lies in Meteorology, Physical Sciences, Mathematics, Engineering, or a similar field? During your studies you have already obtained knowledge in energy meteorology or wind physics? Besides, you also have skills on remote sensing, as well as the analysis of measurement and simulation data? We will be delighted if you can impart your skills here right from day one and develop them further. You will present your results to your team, our customers, and the academic community. This is not a problem for you in both written and spoken English.

More details about the program …
This position is funded by the Marie Sklodowska Curie program (Horizon 2020) »LIKE«, for details: https://ec.europa.eu/programmes/horizon2020/en/h2020-section/marie-sklodowska-curie-actions
For participation in the program, you are not allowed to have more than 4 years of equivalent research experience (after obtaining your master’s degree) and you have not been awarded a title of PhD. Furthermore, you are not a resident of Germany or carried out work in Germany for more than 12 months in the last 3 years. You fulfill these criteria? Great! Your project should start between January 1st, 2020 and April 1st , 2020 and has a duration of 36 months. Further information can be found here: https://ec.europa.eu/programmes/horizon2020/en/h2020-section/marie-sklodowska-curie-actions

Additional information …
Under the rules of the scheme European and international applications are welcomed, subject to the German Border Agency regulations on the Right to Work in Germany. Usually nationals and/or residents of Germany are excluded from the scheme; however this can be checked by referring to the current program details. For further information about salary calculation, the requisites for family allowance and more details on the employment conditions, please see also the founding body rules: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf

Approval and enrollment.
The scholarship for the PhD degree is subject to academic approval. The candidate will be enrolled at the Institute of Physics of the University of Oldenburg.

Terms of contract according to European Commission's Marie Curie fellowship scheme.
The working time consists of 39 hours per week.
The position is limited to 3 years.
In case of identical qualifications preference will be given to severely disabled candidates.
We would like to point out that the chosen job title also includes the third gender.
The Fraunhofer-Gesellschaft emphasises gender-independent professional equality.

Please click here to find the complete job advertisement: http://s.fhg.de/PBY
29/11/19
Professor (with special responsibilities) in Aeroelasticity and Dynamics of Wind Turbines
Organization:
DTU - Technical University of Denmark
Location:
Lyngby, Denmark
Application deadline:
29/11/19
Application link:

DTU Wind Energy invites applications for a position as Professor (with special responsibilities) in aeroelasticity and dynamics of wind turbines.

Our focus at DTU Wind Energy is the development of wind energy for the benefit of society, which we do through research, development, and education within the following programme areas: Siting and Integration, Wind turbine technology, Structures and materials, and Offshore wind energy. The department is an internationally leading university department in wind energy and cooperates with industry and institutions worldwide. We believe that cooperation between scientist and scientific disciplines and a balanced portfolio of research and innovation, education, and research-based advice and services is the best way to create value for society.

The professor will join the section for Wind Turbine Loads and Control (LAC) at the DTU Risø Campus in Roskilde. LAC focuses on modelling and analysis of loads and dynamics, aeroelastic stability, and control of wind turbines, and implements its research in software tools and in courses to the benefit of the wind energy community in general.

DTU Wind Energy has the strategic aim through this professorship to strengthen research in structural dynamics and computational mechanics with emphasis on applications to wind turbine technology aeroelasticity.

Secondary areas of interest include aeroelasticity coupling with hydrodynamics, aeroelastic stability and control, and structural reliability.

Responsibilities and tasks

The position covers research and teaching in structural dynamics and computational mechanics with particular emphasis on wind turbine technology. This research area includes:

  • Theoretical foundations in computational mechanics and structural dynamics
  • Linear and nonlinear dynamics applied to wind turbine concepts for land-based and offshore machines
  • Method development and modelling for aero-servo-hydro-elastic behaviour, aeroelastic stability, and structural reliability of wind turbines

The professor is furthermore expected to:

  • Attract national and international funding for research in aeroelasticity and dynamics
  • Publish and coordinate dissemination of research at a high international level
  • Strengthen the collaboration within the department and with other departments at DTU
  • Further develop the collaboration with national and international research institutes and industries
  • Supervise MSc and PhD students as well as postdocs
  • Develop and coordinate advanced university courses and in continued education programmes

The research field shares scientific methodologies with other departments at DTU. Thus, the professor should sustain and develop collaboration in research, education, and innovation with, e.g., the departments of mechanical engineering and applied mathematics and computer science.

The professor is expected to participate in teaching at the BSc, MSc, and PhD levels. For international candidates, DTU can provide Danish language courses enabling the candidates to teach in Danish within 2-3 years.

Qualifications

Candidates should have obtained well-documented international recognition within their research field, including a high level of original scientific production at international level, with the potential to contribute to further development of the scientific field. Emphasis will be on the ability to combine a high research level and publication activity with promotion of external cooperation and exploitation of the research results.

Furthermore, the applicant should document ability and experience to initiate, manage, and perform theoretical, computational, and experimental research structural dynamics, and computational mechanics with application to wind turbine dynamics and aero-servo-hydro-elasticity including developing and maintaining international research and innovation network.

The applicant should have a solid track record of acquiring national and international external funding and management of national and international research projects.

Finally, the applicant should have documented supervision and teaching skills at all university levels and for continued education.

Assessment

In the assessment of the candidates, consideration will be given to:

  • Documented experience and quality of teaching and curriculum development
  • Research impact and experience, funding track record, and research vision
  • Societal impact
  • Documented innovation activities, including commercialization and collaboration with industry
  • International impact and experience
  • Leadership and collaboration
  • Communication skills
We offer

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The position is available for a 5-year period and may be extended for up to 3 additional years. At the end of the period, the employee in question will transfer to a position as associate professor at the university. More information can be found here: Career paths at DTU.

Further information

Further information may be obtained from Head of Section Katherine Dykes, +45 2179 9259, katdyk@dtu.dk or Head of Department, Peter Hauge Madsen,+45 4677 5001, npha@dtu.dk

You can read more about DTU Wind Energy at http://www.vindenergi.dtu.dk/

Application procedure

Please submit your online application no later than 29 November 2019 (local time).

Applications must be submitted as one pdf file containing all materials to be given consideration. To apply, please open the link ‘Apply online,’ fill in the online application form, and attach all your materials in English in one pdf file. The file must include:

  • Application (cover letter) addressed to the President
  • CV
  • A vision for future research
  • Teaching and research statement, with a focus on the ‘Assessment’ bullet points listed above
  • Documentation of previous teaching and research, as related to the “Assessment” bullet points listed above
  • List of publications indicating scientific highlights
  • H-index, and ORCID (see e.g. http://orcid.org)
  • Diploma (MSc/PhD)

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent university collaborating globally with business, industry, government and public agencies.