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George Nikolakopoulos
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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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Keywords
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About this position
The postdoctoral project is based in the Robotics and Artificial Intelligence research group at Luleå University of Technology, where research is carried out in field robotics and tested on real robots in realistic environments. The position focuses on advanced autonomy for robots operating where GPS is unavailable and where dust, smoke, darkness, and other harsh conditions reduce the reliability of standard sensors.
The successful candidate will work on positioning and mapping for field robots and on cooperation between ground robots and drones. The research aims to develop robust SLAM and state-estimation methods that combine radar, inertial sensors, lidar, RGB cameras, and thermal cameras, with adaptation when one or more sensors degrade. A major part of the work also concerns control and coordination methods for quadrotor drones that fly together with a ground robot and can safely land on it despite uncertain relative position and noisy odometry.
The project is strongly experimental and includes work with real robots and field trials in underground and other GPS-denied environments. The position is intended for research publication in peer-reviewed journals and major conferences, and it also connects to the group’s broader interest in taking robotics research from the lab into practical field use.
The research environment emphasizes collaboration, modern research infrastructure, and interaction with industry and society.
Funding details
Available
What's required
A doctoral degree or equivalent foreign degree in robotics, control engineering, computer science, electrical engineering or a closely related field is required. It is meritorious if the degree was awarded no more than three years before the application deadline, unless special reasons apply. Applicants must have strong knowledge in at least one of state estimation and SLAM, sensor fusion, or control of flying robots. Previous work with experimentally verified results on real robots in at least one of the listed research areas is required. Strong programming skills in C++ and Python and experience with ROS or ROS 2 are required. Very good oral and written English is required. Experience with radar or thermal cameras, multi-sensor calibration, control barrier functions or other safety-critical control methods, quadrotor hardware and flight experiments, or field trials in underground environments is meritorious.
How to apply
Apply via the application button. Attach a cover letter, CV/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 the reference number 5207-2026 and submit documents in Swedish or English.
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Professors
Professor at Luleå University of Technology
Sweden
Research Interests
Artificial Intelligence
Aerospace Engineering
Computer Science
Robotics
Electrical Engineering
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.