Postdoc: Multi-Modal SLAM for Field Robotics & Drones

Luleå University of Technology; Luleå kommun; On-site; SEK 420,000 - 520,000; Full time

Job summary

Luleå University of Technology invites a postdoctoral researcher to advance SLAM for GPS-denied environments, integrating radar, inertial sensors, lidar and cameras, and to develop control methods for drone and ground robot collaboration. Based in Luleå, the role emphasizes real‑world field experiments and translation from lab to practice.

The position focuses on multi‑modal SLAM, sensor degradation handling, and collaboration with drones and ground robots, with opportunities for supervision and

Qualifications

• PhD in robotics, automatic control, computer science, electrical engineering or a related subject.
• Good knowledge of state estimation and SLAM, sensor fusion, or control of aerial robots.
• Experience with ROS/ROS 2 and programming in C++ and Python.
• Experience with real robots and field experiments.
• High proficiency in English (oral and written).
• Experience with radar or thermal cameras and sensor calibration is a merit.

Responsibilities

• Carry out research with substantial experimental work on real robots and field experiments.
• Publish results in international peer‑reviewed journals and major conferences.
• Co‑supervise PhD and master’s students and contribute to grant applications.
• Teaching may be included for up to one fifth of working time.

Skills

State estimation SLAM

Sensor fusion

Control of aerial robots

Programming C++ Python

English communication

Collaboration skills

Education

PhD in robotics or related field

Tools

ROS/ROS 2

C++

Python

Job description

Luleå University of Technology invites a postdoctoral researcher to advance SLAM for GPS-denied environments, integrating radar, inertial sensors, lidar and cameras, and to develop control methods for drone and ground robot collaboration. Based in Luleå, the role emphasizes real‑world field experiments and translation from lab to practice.

The position focuses on multi‑modal SLAM, sensor degradation handling, and collaboration with drones and ground robots, with opportunities for supervision and