PhD - A Generator of Optimized Winding Schemes in Electrical Machines

Your profile

• Education: excellent university degree (Master's or equivalent) in Applied Mathematics, Industrial/Technomathematics, Computational Engineering, Computational Engineering Science, or a comparable
• Experience and Knowledge: experience in the field of optimization, particularly in discrete optimization; experience with electromagnetic field simulation and applying mathematical concepts to real-world problems, ideally with exposure to electric machines; hands-on knowledge of object-oriented programming principles; solid programming skills in MATLAB and Python; experience with software development tools such as version control (e.g., Git) and Visual Studio
• Personality and Working Practice: you are skilled at analytically tackling complex problems and developing innovative solutions; you are open-minded toward new ideas and forward-thinking; you communicate clearly and collaborate constructively in a team; moreover, you proactively take on challenges and find ways to overcome obstacles
• Languages: fluent in English (written and spoken); German language skills or the willingness to learn

This location offers

• Work-life balance : Flexible working in terms of time, place and working model.
• Health & Sport : Wide range of health and sports activities.
• Childcare : Intermediary service for childcare services.
• Employee discounts : Discounts for employees.
• Room for creativity : Space for creative work.
• In-house social counseling and care services : Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan.

Contact & Additional information

https://www.bosch-ai.com

www.bosch.com/research

The final PhD topic is subject to your university.

Start: according to prior agreement

Please submit all relevant documents (CV, certificates, and links to GitHub or kaggle account).

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need support during your application?

Celina Dannecker (Human Resources)

Need further information about the job?

Houda Benkour (Functional Department)

Work #LikeABosch starts here: Apply now!

Mostramos trecho e link por vaga, e o texto integral quando a fonte permite. Marcas e logotipos citados pertencem aos seus titulares.

Fonte: Statistisches Bundesamt (Destatis), tabela; dl-de/by-2-0; cálculo da StarIn

Publicada em 27 de abr. de 2026