PhD Algorithmic Design and Development for Automotive Engineering Processes (f/m/x)

PhD Algorithmic Design and Development for Automotive Engineering Processes (f/m/x)

We offer an exciting PhD position focused on fabrication‑aware design to advance car design and development.

Responsibilities

• Develop methods, algorithms, and development processes for generating geometries with given requirements, such as manufacturability, structural mechanics, weight, and cost.
• Analyze and integrate fabrication requirements and constraints into the design framework to generate suitable geometries, e.g. through mathematical formulation.
• Enable innovative techniques in real‑life car development.
• Collaborate closely with universities and various BMW engineering and manufacturing departments.
• Publish results and actively contribute to the research community within BMW and the broader automotive ecosystems.

Qualifications

• University degree in computer science, mathematics, engineering, or an equivalent field.
• Basic knowledge in additive manufacturing, robotics, and programming (e.g. Python).
• Good understanding of CAx artifacts (3D geometry, simulation model, etc.) and related workflows used in product design and development.
• Knowledge in graphical programming (low code, e.g. Synera, Grasshopper).
• Knowledge in basic vehicle design and automotive technology.
• Experience with commercial CAD, CAM, CAE, PIDO, and optimization software.
• Track record of research contributions (publications, conference talks, or equivalent) is a plus.
• Business‑fluent English; German language skills are a plus.

Benefits and Practical Information

• Digital offers and mobile working.
• Apartment offers for students (subject to availability and only Munich).
• Other benefits – see list on our website.

Earliest starting date: from now on.

Duration: 36 months.

Working hours: Full‑time.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.