Zenseact · Mobility
Master Thesis Projects 2027: Planning, Decision-Making and Safety - Cluster C
- Gothenburg (Hybrid), +1 more: Lund
AI roleMachine LearningTrains models
Still open on Zenseact's site · checked 6 hours ago
- Posted
What you'll do
As written by Zenseact · Read the original
Your Mission
Every Cluster C thesis combines research with real-world experimentation.
You will work with autonomous-driving datasets, simulation environments, and modern AI methods to investigate how intelligent systems reason, plan, and make decisions under uncertainty.
Requirements
Who You Are
We're looking for curious students who enjoy solving difficult problems and exploring new ideas.
You're currently pursuing a Master's degree in Computer Science, AI, Machine Learning, Robotics, Electrical Engineering, Engineering Physics, Applied Mathematics, or a related field.
We value different perspectives, backgrounds, and ways of approaching problems. You don't need to meet every preferred qualification to apply. Strong foundations, curiosity, and a willingness to learn matter most.
What you bring
Programming experience, preferably in Python
An interest in machine learning, planning, optimization, simulation, control, or safety
Ability to learn from and evaluate scientific research
Ability to communicate technical ideas and findings in English
Helpful, but Not Required
Experience in machine learning, reinforcement learning, planning, robotics, simulation, safety-critical systems, or research-driven software development will be valuable.
This may come from coursework, research projects, internships, open-source contributions, or personal projects.
Skills
Stack
- Python
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.
