Doktorander i datorseende och lärande system för adaptiva svärmsystem
Core
Researching perception for adaptive drone swarms, specifically sensor calibration and shared world models under uncertainty.
Role type
PhD researcher (Computer Vision & Learning Systems)
Builds
Research outputs and scientific knowledge for heterogeneous adaptive swarm systems
Domain
AI, Robotics, Autonomous Systems, Computer Vision
Deliverable
research
Required skills
Machine learning, programming, visual data analysis, advanced mathematics, research project management
Preferred skills
Autocalibration, sensor fusion, real-time systems, uncertainty handling, collaborative research
Technologies
Heterogeneous sensor swarms, drone systems, perception algorithms
Responsibilities
Conduct research on autocalibration for heterogeneous sensor swarms; Develop shared world models for drones under uncertainty; Engage in teaching or institutional duties up to 20% of full-time.
Seniority
PhD Candidate (Early career researcher)