Research Scientist Sequential Decision Making for Autonomous Systems (f/m/div.)
Aufgaben
- As a part of our team, you will develop machine learning approaches for sequential decision making in an automated driving context.
- You will work closely with business units dealing with automated driving to understand their requirements for AI-based decision making and develop novel methods to improve performance for driving assistants as well as fully automated driving.
- Special focus of your work will be on learning decision policies that explicitly consider the interaction of many decision makers.
- In addition, you will use technologies such as imitation learning or reinforcement learning to infer sequential decision policies from real world data.
- You work with the latest deep learning technologies, such as graph neural networks, transformer architectures or differentiable simulations.
- Furthermore, you perform original research on learning robust and safe policies for long horizon simulation.
- Also, you apply and advance machine learning methods at scale to solve real challenges for future products.
- Finally, you will work in an international research team of scientists as well as engineers and closely cooperate with business units.
Profil - Education: university degree (perferably PhD) in Computer Science, Engineering, Mathematics or similar with focus on machine learning and algorithms
- Experience and Knowledge: excellent knowledge in machine learning methods and algorithms for sequential decision making, prior experience with methods such as Imitation Learning, Reinforcement Learning or Graph Neural Networks are a plus, considerable experience in a research environment with tier-1 publications in machine learning or related fields., experience with modern machine learning libraries and toolchains in Python is expected, additional experience with C++ is a plus
- Enthusiasm: passionate to implement machine learning algorithms in real-world applications
- Education: university degree (perferably PhD) in Computer Science, Engineering, Mathematics or similar with focus on machine learning and algorithms
- Experience and Knowledge: excellent knowledge in machine learning methods and algorithms for sequential decision making, prior experience with methods such as Imitation Learning, Reinforcement Learning or Graph Neural Networks are a plus, considerable experience in a research environment with tier-1 publications in machine learning or related fields., experience with modern machine learning libraries and toolchains in Python is expected, additional experience with C++ is a plus
- Enthusiasm: passionate to implement machine learning algorithms in real-world applications
Kontakt & Wissenswertes
www.bosch.com/research
https://www.bosch-ai.com
Please submit all relevant documents (CV, letter of motivation, certificates).
You want to work part-time - we offer different part-time models or job-sharing. Feel free to contact us.
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?
Michael Streitmayer (Human Resources)
+49(711)811-33306
Need further information about the job?
Luigi Palmieri (Functional Department)
+49(711)811-7584
Einblicke in unsere Arbeitswelt
Willkommen in Renningen
Unser Forschungscampus in Renningen bildet den internationalen Knotenpunkt unserer Bereiche Forschung und Vorausentwicklung, Cross-Domain Computing Solutions und Bosch Center for Artificial Intelligence. Mitarbeiter aus aller Welt arbeiten daran, Antworten auf die Fragen von Übermorgen zu finden. Damit sich die Ideen unserer Forscher optimal entfalten können, ist der Campus ein Netz der kurzen Wege zwischen Kommunikation und Inspiration, an dem der Kreativität keine Grenzen gesetzt sind. Wollen auch Sie die Zukunft gestalten? Wir freuen uns auf Ihre Neugier und Innovationsfreude.
