PhD Research Fellow on Learning and optimization in Vehicular Networks (ref 213349)

The position is fully funded by the Research Council of Norway for 3 years under the Transport 2025 project Crisp. In addition to University of Oslo, the project consortium includes Volvo cars, Asta Zero, and Tracsense as industrial partners, and The Institute for Transport Economics, Oslo, Norway, Østfold University College, Halden, Norway, and Western Norway University of Applied Sciences, Norway.  The goal of the project is to enhance the current electronic safety and stability control systems in vehicles by deriving and communicating a critical speed to vehicles in motion in challenging terrain and/or in adverse weather conditions.

The PhD student’s main task will involve precisely estimating the critical speed limit for the vehicles approaching a possibly dangerous situation. This will include machine learning and computation optimization techniques. In particular, the student is expected to analyze data from real traffic system, and design machine learning algorithms to estimate the critical speed.  Further, the student may explore edge computing and communications in an edge network to achieve low latency response.

For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/213349/phd-research-fellow-on-learning-and-optimization-in-vehicular-networks