Postdoc in Artificial intelligence-based health prediction for Smart battery lifetime extension(2023-224-05505)

Aalborg University contributes to the knowledge building of the global society as well as the development of prosperity, welfare and culture of Danish society. This is accomplished through research, research-based

education, public sector services and knowledge collaboration. Aalborg University educates students for the future and activities are based on a dynamic and transformative collaboration with the surrounding community.

AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings.
AAU Energy has a very international environment and covers all areas of clean and sustainable energy systems of the future within electrical, thermal and mechatronic energy technology. AAU Energy has campuses in both Aalborg and Esbjerg, this position is in Aalborg.

The mission is to be world leading in both research and research-based education of the energy engineers of the future. AAU Energy has approx. 300 employees of many nationalities, of which 25 are administrative staff. In addition, AAU Energy constantly has approx. 50-70 guest researchers from around the world.

Research and teaching are in the absolute world elite in the field of energy, and we have extensive and leading workshop and laboratory facilities, where research and innovation are carried out in direct collaboration with industry to a great extent.
The position is offered in relation to the research program"Battery Storage Systems" and the Postdoc will be positioned to the section for Power Electronics System Integration and Materials.

Research areas will be within Artificial intelligence-based battery health prediction with transfer learning and the health management implementation in masters for smart battery lifetime extension. The work will focus on the implementation of advanced health prediction methods in control strategies development to extend the lifetime of smart batteries, including transfer learning-based battery health estimation and prediction, early prediction of battery health, health assessment based on probabilistic predictions, implementation of AI methods on master boards, and smart control for battery lifetime extension.

Specific requirements:

• Transfer learning-based battery health estimation and prediction using both fine-tuning and domain adaptation
• Health prognostics for smart batteries working with pulsed current
• Battery health assessment and accelerating aging detection
• Experience with battery aging experiments and AI lifetime prediction using Phyton
• The ideal candidate for this position should have a strong research interest in research related to data-driven aging model and smart battery management.

Furthermore, the successful applicant should be proficient in

English, have strong interpersonal skills for productive collaboration with Smart Battery project team members.

You may obtain further professional information from Professor Remus Teodorescu, phone+45 2787 9808, e-mailret@energy.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 Pernille Kjærup Sørensen HR-Servicecenter EST by mailest-ef-hr@adm.aau.dk .

Information regarding guidelines, ministerial circular in force and procedures can be seenhere.  

Read more about AAU atwww.aau.dk .
Read more about the AAU Energy atwww.energy.aau.dk . 

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.