Master Thesis Sample-Efficient Reinforcement Learning for Autonomous Driving (f/m/x)

BMW Group; München; Vor Ort; EUR 11.160 - 16.740; Vollzeit

Benefits dieser Stelle

Comprehensive mentoring

Flexible working hours

Attractive remuneration

Digital offers & mobile working

Apartment offers for students

Zusammenfassung

A leading automotive company in Munich is offering a master's thesis opportunity focused on Sample-Efficient Reinforcement Learning for Autonomous Driving. Candidates will support the development of innovative AI models, collaborate with a diverse team, and contribute to advancements in the field. Ideal applicants have a background in computer science and strong programming skills in Python. Attractive benefits and flexible working hours are offered.

Qualifikationen

• Strong knowledge in computer vision concepts, unsupervised machine learning, and state-of-the-art architectures.
• Fluent English skills.

Aufgaben

• Support researching state-of-the-art autonomous driving models.
• Implement a novel architecture or training paradigm.
• Use advanced training infrastructure to conduct experiments.
• Assist in presenting thesis results using the scientific method.
• Collaborate with an experienced team on publications.
• Engage with a diverse team at the Autonomous Driving Campus.

Kenntnisse

Machine learning

Artificial intelligence

Computer vision

Python programming

PyTorch

Docker

Git

Problem-solving

Ausbildung

Computer science or related field

Jobbeschreibung

Overview

Master Thesis Sample-Efficient Reinforcement Learning for Autonomous Driving (f/m/x)

BMW Group offers an interesting and varied Master’s thesis in the field of autonomous driving. Our team is dedicated to researching and advancing cutting-edge technologies in this domain. At the Autonomous Driving Campus in Unterschleißheim, you will support the development of innovative AI models and collaborate closely with doctoral candidates and fellow students in a dynamic research environment.

What awaits you?

• You will support researching state-of-the-art autonomous driving models and help to test and improve upon them.
• You contribute by implementing a novel architecture or training paradigm, enhancing our team’s research.
• You utilize our advanced training infrastructure to conduct experiments and efficiently evaluate your approach.
• You assist in presenting thesis results using the scientific method, both in written and oral formats.
• You will collaborate with an experienced team that publishes at international peer-reviewed conferences.
• You engage with an international and diverse team of doctoral candidates and students at the Autonomous Driving Campus in Unterschleißheim.

Please note that your thesis must be supervised by a university on your part.

Responsibilities

• Support researching state-of-the-art autonomous driving models and help to test and improve upon them.
• Implement a novel architecture or training paradigm to enhance the team’s research.
• Use the advanced training infrastructure to conduct experiments and evaluate approaches.
• Assist in presenting thesis results using the scientific method, in written and oral formats.
• Collaborate with an experienced team that publishes at international peer-reviewed conferences.
• Engage with an international and diverse team of doctoral candidates and students at the Autonomous Driving Campus in Unterschleißheim.

Qualifications

• Studies in computer science or a related field with focus on machine learning or artificial intelligence.
• Strong knowledge in computer vision concepts, unsupervised machine learning, and state-of-the-art architectures.
• Excellent programming skills in Python and PyTorch; familiarity with Docker and Git is a plus.
• Curiosity and motivation to solve problems and share ideas in a team.
• Fluent English skills.

What we offer

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Digital offers & mobile working.
• Attractive & fair remuneration.
• Apartment offers for students (subject to availability & only Munich).
• And many other benefits - see jobs/benefits

Earliest starting date: 11/01/2025

Duration: 6 months

Working hours: Full-time

Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e-mail.

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.