Job description
The two-year postdoc position is part of the research project“Edge AI for High Stability-Robustness of Power Electronics in Modern Power Systems” funded by the Villum Foundation. The project aims at solving current instability problems with power converters in, e.g., wind turbines, by changing and modernising the control architecture. This will be achieved using AI at the edge(deep learning applied in microcontrollers), and is expected to push the boundaries and capabilities of state of the art through advances in signal processing and system identification theories.
A team of researchers will be collaborating in this project, and the main focus of this postdoc will be on the machine learning aspects of the project. The research team will be cross-disciplinary, and an important part of this postdoc position will thus be the engagement with the rest of the project team, e.g., in deployment of machine learning models on edge devices in the context of power converter control.
Through this project, we are offering a unique opportunity to strengthen your research profile, and to collaborate with world-leading scientists in the different related domains. We offer freedom with responsibility, through flexible working hours, and an informal and curiosity driven research team at an internationally strong department.
To reach the ambitious goals of the project, we are looking for a postdoc who has
- A PhD degree in one or more of the areas: machine learning, signal processing, statistical modelling, power electronics, and power systems.
- Working experience with training and deployment of AI models.
- Knowledge about power electronics systems.
- Excellent communication skill(English), both spoken and written.
You may obtain further professional information from Jesper Rindom Jensen, email:jrj@create.aau.dk
Qualification requirements:
Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.
The application must contain the following:
- A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
- A current curriculum vitae.
- Copies of relevant diplomas(Master of Science and PhD). On request you could be asked for an official English translation.
- Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
- Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
- Additional qualifications in relation to the position. References/recommendations.
- Personal data.
The applications are only to be submitted online by using the”Apply online” button below.Shortlisting will be applied. After the review of any objections regarding the assessment committee, the head of department, with assistance from the chair of the assessment committee, selects the candidates to be assessed. All applicants will be informed as to whether they will advance to assessment or not.
AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.
For further information concerning the application procedure please contact Sanne Vestergaard Hejlesen by mail est-st-hr@adm.aau.dk or phone(+45) 99 40 39 72.Information regarding guidelines, ministerial circular in force and procedures can be seenhere.
Wages and employment
Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministry of Finance’s current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.
Ref number 2023-224-05319
Deadline 21.06.2023