Why This Role Stands Out
This PhD opportunity at Bosch offers an exceptional chance to innovate in the critical area of Physical AI safety, with the potential to significantly shape the future of autonomous systems. If you possess a strong background in control engineering or computer science and are eager to tackle complex technical challenges, you'll thrive in this research-driven role, contributing to groundbreaking advancements within a renowned company. Embrace this exciting opportunity to grow your expertise and make a tangible impact.
Quick Overview
Job 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. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
The design and development of innovative safety contracts will be your core focus, establishing formal runtime interfaces to ensure safe interaction between decision-making and control in autonomous systems.
You will precisely define assumptions, guarantees, and adaptation rules for modular autonomy stacks to secure system integrity across different abstraction levels.
More over, you will utilize advanced methods of optimal control, sequential decision-making under uncertainty, and reinforcement learning to develop robust, high-performance solutions.
Using machine learning, you will derive feasibility margins, uncertainties, and the safety contracts themselves from real-world data.
Translating research findings into concrete applications is a key goal, particularly in the domain of vehicle motion control and autonomous driving, to safely bridge the gap between high-level decisions and physical reality.
Last but not least, you will contribute significantly to making learning-enabled autonomy modular by design, guaranteeing safety by construction, and enabling verification at runtime.
- Education: excellent master's degree (or equivalent) in Control Engineering, Robotics, Computer Science, or a related field
- Experience and Knowledge: solid background in optimization or control and programming proficiency in Python
- Personality and Working Practice: you are enthusiastic about technical challenges, like to develop solutions in interdisciplinary, diverse teams and implement them up to the functional model; you are willing to take initiative and responsibility; you possess the ability to approach tasks systematically, methodically, combined with a consistent focus on finding solutions and a dedication to delivering high-quality results
- Languages: very good English, German is an advantage
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?
Felix Berkel (Functional Department)
+49 711 811 92301
Work #LikeABosch starts here: Apply now!
Similar jobs
- GC
Principal Scientific Research Expert - Computational Theory & Physics
NewAuto ApplyGramian Consulting Group
Germany🇩🇪Remote2 days ago - ST
(Senior) Research Manager – Survey Data & Innovation (m/f/d)
Auto ApplyStatista
Hamburg🇩🇪Hybrid3 days agoMarket ResearchMental HealthMicrosoft Excel - NE
Senior Applied Scientist, Efficient LLM Inference & Model Optimization
Auto ApplyNebius
Berlin🇩🇪Hybrid6 days agoLoad BalancingMachine LearningCUDA+4 - BG
Masterarbeit zum Was-wäre-wenn-Reasoning in LLM-Agenten zur Bewertung der Auswirkungen von HEMS-Parametern unter Nutzung von Time-Series-Foundation-Modellen über MCP (w/m/div.)
Auto ApplyBosch Group
Renningen, BW🇩🇪Hybrid1 week agoMachine LearningNumPyLLM+2 - BG
Master Thesis on What-If Reasoning in LLM Agents for Evaluating HEMS Parameter Effects Using Time-Series Foundation Models via MCP
Auto ApplyBosch Group
Renningen, BW🇩🇪Hybrid1 week agoMachine LearningNumPyConcrete+4 - PF
Scientist, Model Validation and Experimental Data Analysis
Auto ApplyProxima Fusion
Munich🇩🇪€650/moOn-site1 week agoMachine LearningBootstrapJulia+1 - KO
Senior Researcher (HFT, Market Making, Crypto)
Auto ApplyKoton
Germany🇩🇪€90k - €160k/yrRemote1 week agoSQL.NETPython+1 - RO
Head of Applied Science
Auto ApplyRohlik
München🇩🇪Hybrid1 week agoGCPSQLMachine Learning+6Technology - IN
Data selection and quality evaluation for biological foundation models
Auto ApplyInceptive
Berlin🇩🇪$135k - $240k/yrHybrid2 weeks agoMachine LearningDeep LearningPython - IN
Computational design of biological experiments for model development
Auto ApplyInceptive
Berlin🇩🇪$135k - $240k/yrHybrid2 weeks agoMachine LearningDeep LearningGenerative AI+1 - BG
Masterarbeit mit Metamaterialien zum leisen Produkt - FEM-Simulation von Metamaterialien zur akustischen Optimierung von Produktgehäusen
Auto ApplyBosch Group
Renningen, BW🇩🇪On-site2 weeks agoAbaqus - BG
Masterarbeit Experimentelle Untersuchung und Optimierung der akustischen Eigenschaften eines Luftkühlsystems für Elektronik
Auto ApplyBosch Group
Renningen, BW🇩🇪On-site3 weeks agoMATLAB