Posted 28 Oct 2026 (9 days ago) · Job 52734 · Read from the employer's SmartRecruiters board, last checked 6 Nov 2026, 11:03 UTC

PhD - A Generator of Optimized Winding Schemes in Electrical Machines

Bosch · Renningen, BW, Germany

Apply on Bosch’s siteAsk about this jobApply opens the employer’s own application. Nothing is sent from here.

What the posting says

Each fact was read from this posting and checked:Statedin the posting, quotedConflictsposted two ways, both shownNot mentionedwe looked; it is not there

Employment typeStated
Full time
Work arrangementStated
Hybrid

Not mentioned in this posting

We read the whole posting. These are not in it. Not a no: ask the recruiter, in your own words.

PayNot mentioned
The posting does not say
ShiftNot mentioned
The posting does not say
ExperienceNot mentioned
The posting does not say
EducationNot mentioned
The posting does not say
Visa sponsorshipNot mentioned
The posting does not say

Requirements, each with its sentence from the posting

These are the employer’s words. The index does not judge whether you meet them.

  • No requirement has been itemized for this posting yet. The employer’s words are in the full posting below.
Read the full posting as the employer wrote it

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

  • You will develop a novel mathematical approach for the comprehensive modeling of pin winding systems (hairpin windings), thereby laying the foundation for innovative electric machine designs.
  • Furthermore, you research and formulate robust mathematical representations of highly complex real-world boundary conditions and constraints, including symmetry requirements, operating conditions, as well as manufacturing and production restrictions.
  • Your tasks include precisely analyzing and critically evaluating the computational complexity, feasibility, and runtime performance of your proposed discrete optimization algorithms.
  • Last but not least, you integrate your mathematical models into existing simulation tools to systematically evaluate and optimize winding schemes based on defined key performance indicators (KPIs).

Qualifications

  • 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

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)
+49 711 811 21346

Need further information about the job?
Houda Benkour (Functional Department)
+49 711 811 26764

Work #LikeABosch starts here: Apply now!

The posting text is reproduced as the employer wrote it; the index adds nothing to it.