Doktor i Real-time NMPC for Wind Turbine Control (2 - m & f)

At the Department of Signals and Systems, we conduct internationally renowned research in biomedical engineering, antenna systems, signal processing, image analysis, automatic control, automation, mechatronics, and communication systems. We offer a dynamic and international research environment with about 150 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society. The department provides more than 70 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, ”Systems, Control and Mechatronics”, and ”Communication Engineering”.

Read more at www.chalmers.se/en/departments/s2


Information about the research and the project
Chalmers will receive an industrial research funding to develop a real-time Nonlinear Model Predictive Control (NMPC) technology for the control of multi-megawatts wind turbines. The project will perform a major technology transfer from the academia to the industry, and is expected to offer a radically new control technology to the wind industry. The project is partially funded by the industry. The project will be implemented in collaboration with other major research groups in Europe and two important companies active in the field of wind energy. It will offer the opportunity to the researchers to acquire a deep expertise in the field of wind turbine control and real-time NMPC, and to collaborate actively and visibly with major companies and research groups. 

Major responsibilities
In this position, you will investgate new algorithms dedicated to real-time NMPC for wind turbine control. You will take the lead in the different phases of the project, from early algorithm development to assessment and validations. You will collaborate closely with the second post-doc hired in this project at Chalmers whose role will be more oriented towards code development, and will collaborate very actively with the industrial and academic project partners. You will be expected to document the research results both via scientific publications and detailed internal reports. You will be expected to move decisively in the research program and meet the deadlines and milestones of the project.      

Your major responsibility as postdoc is to perform your own research in a research group. The position also includes teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position is meritorious for future research duties within academia as well as industry/the public sector.

Position summary
Full-time temporary employment. The postdoc position is limited to a maximum of two years.

Qualifications
The ideal candidate has a background in control, NMPC, algorithms, and structural dynamics. He/she is comfortable with convex and non-convex optimization, algorithms for control and estimation, and mechanical systems. A knowledge or experience of wind turbine modelling and control is a plus but not mandatory.

To qualify for the position of postdoc, you must have a doctoral degree in a relevant field; the degree should generally not be older than three years. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.

The position requires sound verbal and written communication skills in English.

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



Application deadline: September, 30

For questions, please contact:
Sébastien Gros
Email: grosse@chalmers.se

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Built Environment, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!