About us Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Curious to hear more about what it's like as a PhD candidate at TU/e? Please view the
video.Do you recognize yourself in this profile and would you like to know more?
Visit our website for more information about the
application process or the
conditions of employment. You can also contact HR Services, e-mail HRServices.Flux[at]tue.nl.
For more information about the project, please contact Dr. Esin Ilhan Caarls (e.ilhan[at]tue.nl).
Please visit
our career page to find out more about working at TU/e!
ApplicationWe invite you to submit a complete application by using the 'apply now'-button on this page. Applications should include the following files in pdf format separately:
- Letter of motivation including;
- Explaining your motivation and suitability for the position.
- 2-page plan on how your research is going to contribute on the specific project.
- Portfolio with relevant work.
- Detailed Curriculum Vitae inc. months (not just years) with:
- Education and work experience.
- A list of your publications.
- Key achievements in research projects.
- Contact information of two references (please do not include any letters).
- Brief (1-page description) of your MSc thesis, transcript, course names & grades.
- Results of IELTS or TOEFL test.
A selection of applications will be invited for job interviews. During the interviews, the applicant(s) will be asked to present their portfolio, and defend her/his research plans.
We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.
Keywords:Battery, Battery Management System (BMS), AI, Data driven models, Electrical Drives, Control, Digital Twin, Co-simulation, Automated Mobility applications, Cyber-Physical Systems