Master Thesis: Safe Decision-Making for Autonomous Driving

Zenseact; Lunds kommun; On-site; SEK 246,000 - 312,000; Full time

Job summary

Zenseact is seeking a Master’s thesis candidate to work on Cluster C projects in Sweden (Gothenburg and Lund). The role blends research with real-world experimentation on autonomous driving, leveraging datasets, simulation, and state-of-the-art AI methods to study how intelligent systems reason, plan, and act under uncertainty.

You will collaborate with engineers and researchers, explore reinforcement learning, world models, and safety-focused metrics, and contribute to actionable insights and

Qualifications

• Proficiency in Python and scientific computing.
• Interest in machine learning, planning, optimization, simulation, control, or safety.
• Ability to learn from and evaluate scientific research.
• Ability to communicate technical ideas in English.

Responsibilities

• Work with autonomous-driving datasets, simulation environments, and modern AI methods to investigate how intelligent systems reason, plan, and decide under uncertainty.
• Develop and evaluate algorithms for thesis projects and safety metrics.
• Design experiments and safety metrics to assess robustness of autonomous driving solutions.
• Investigate edge cases and failure scenarios and present findings.
• Present findings and recommendations with guidance from engineers and researchers.

Skills

Python

Machine learning

Reinforcement learning

Planning

Simulation

English communication

Education

Master's degree in CS/AI/Robotics

Tools

PyTorch

Job description

Zenseact is seeking a Master’s thesis candidate to work on Cluster C projects in Sweden (Gothenburg and Lund). The role blends research with real-world experimentation on autonomous driving, leveraging datasets, simulation, and state-of-the-art AI methods to study how intelligent systems reason, plan, and act under uncertainty.

You will collaborate with engineers and researchers, explore reinforcement learning, world models, and safety-focused metrics, and contribute to actionable insights and