Autonomous vehicles generate large volumes of multimodal sensor data, making centralized processing impractical due to communication, storage, and privacy constraints. The DREAM project (Distributed, Robust and Efficient AI for Autonomous Vehicles) develops efficient real-time federated learning methods for autonomous vehicles, with particular focus on self-supervised learning and knowledge transfer between heterogeneous AI models.
We offer two Master's thesis topics within DREAM. The first investigates federated self-supervised learning (SSL) to exploit largely unlabeled driving data and reduce dependence on costly annotations. The second investigates knowledge transfer/knowledge distillation between models with different architectures, sensors or hardware, enabling learning to continue as vehicle platforms evolve. The final scope will be defined together with the supervisors and aligned with DREAM's research objectives.
We are looking for two highly motivated Master’s students with a strong background in machine learning and computer vision. Essential skills include deep learning, Python programming, the ability to read and understand scientific literature, and experience working with complex systems. Experience with federated learning, self-supervised learning, knowledge distillation, or autonomous-driving data is considered a merit.
The thesis work will be carried out in close collaboration with the research team at RISE and Zenseact. You are expected to work on-site at the RISE Kista office at least three days per week.
Welcome with your application!
Send in your application (CV, motivation letter, transcript of records) no later than December 15th.
For any questions, please contact:
As the challenges facing us as a society become increasingly complex, innovation alone is not enough; you need a strong innovation partner who can provide comprehensive support and a broad range of perspectives. This is where RISE comes in.
RISE is a unique mobilisation of resources to increase the pace of innovation in our society. By gathering a number of research institutes and over a hundred test beds and demonstration environments under the umbrella of a single innovation partner, we create improved conditions for society’s problem solvers.
We gather around challenges and organise ourselves accordingly. Together, specialists in disparate fields innovate and resolve tough problems. Depending on the nature of the challenge and our assignment, we take on a variety of roles in the innovation system, and develop new ones as and when required.
We are owned by the Swedish State and work in collaboration with and on behalf of the private and public sectors and academia. Together, we develop services, products, technologies, processes and materials that contribute to a sustainable future and a competitive Swedish business community.
