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Postdoktor i robotik och artificiell intelligens Luleå University of Technology in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Nov 15, 2026
Country
Sweden
University
Luleå University of Technology
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About this position
The Robotics and Artificial Intelligence research group at Luleå University of Technology is seeking a postdoctoral researcher to develop sensor systems and autonomy for drones used to inspect infrastructure and terrain in Arctic environments, including Greenland. The project is built around field robotics and real-world experimentation, with a strong emphasis on systems that can operate reliably in severe cold.
The position focuses on making drone inspection possible in conditions where batteries lose capacity, ice forms on optics and propellers, and lidar or cameras can be degraded by snow, fog and low sun. The work aims to improve the robot’s ability to position itself, build maps and plan missions using sensors and autonomy methods that remain dependable when GNSS and magnetometer data are weak or unreliable.
The research group, based in the Department of Systems and Space Engineering, has a track record in demanding robotics research and participated in the DARPA Subterranean Challenge with the CoSTAR team under NASA/JPL leadership. Its broader application areas include mining robotics, airborne inspection of ageing infrastructure, space robotics autonomy, and multi-robot search and rescue.
The successful candidate will contribute to experimental robotics on real drones and in cold-weather field trials, with work that may involve travel to Arctic test sites such as Greenland and northern Sweden. The research environment combines modern research infrastructure, close collaboration with colleagues, and a strong connection between robotics research and practical deployment in challenging environments.
The project invites research across several connected themes, including cold-tolerant sensing for drones, multi-sensor state estimation and mapping, sensor health monitoring and fault detection, and energy- and weather-aware mission planning for autonomous inspection flights.
Funding details
Available
What's required
A doctoral degree or an equivalent foreign degree in robotics, control engineering, computer science, electrical engineering or a related field is required. Preference is given to applicants whose PhD was awarded no more than three years before the application deadline, unless special circumstances apply. Applicants should have strong knowledge of state estimation, sensor fusion or robotic perception, documented experimental experience with drones, and prior experimentally verified results in at least one of the listed research areas. Strong programming skills in C++ and Python and experience with ROS or ROS 2 are required. Good spoken and written English is required, and experience with sensor integration, drone hardware, lidar/radar/thermal perception, field trials in cold or demanding environments, or autonomous inspection missions is meritifying.
How to apply
Apply through the application button and include a cover letter, CV with publication list, copies of verified degree certificates, a research plan of up to two pages, and the names and contact details of two referees. Mark the application with reference number 5204-2026 and ensure the application and degree certificates are written in Swedish or English.
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Professors
Professor at Luleå University of Technology
Sweden
Research Interests
Artificial Intelligence
Underground Mining
Electrical Engineering
Robotics
Field Robotics
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