Researcher; Postdoc in Off-Road SLAM and Advanced Perception

Researcher (Postdoc) in Off-Road SLAM and Advanced Perception

Looking for a job that matters? Join the university of technology that puts people first – and shape new opportunities both for yourself and for our community. Are you passionate about autonomous systems and advanced perception techniques? We offer an exciting postdoctoral position, in collaboration with Demcon, focusing on off-road SLAM using lidar, camera, and IMU.

Do you have a deep understanding of semantic segmentation, SLAM, sensor fusion (lidar, camera, IMU), embedded programming, and/or real-time computing? Are you ready to push the boundaries of autonomous navigation in challenging environments like forests and off-road terrains? Join our innovative project where simulated data and real hardware testing create innovative solutions.

You will be at the forefront of developing advanced perception systems, using deep learning and simulation-to-real domain adaptation techniques. You will work with a multidisciplinary team, contributing to fundamental and applied research. Your role will involve designing and implementing algorithms. Testing with actual robotic platforms is handled by Demcon. Innovative simulation data is used for both training and testing.

The project is in parallel with our dedication to teaching perception in our MSc Robotics programme and MSc Geo-information programme, offering you also the chance to mentor and inspire the next generation of engineers (all teaching is fully optional). This is a unique opportunity to blend academic research with real-world applications, supported by a leading company in the industry.

After successful employment at the University of Twente, it is possible to discuss a (part-time) position at Demcon.

• A PhD degree in a relevant field.
• A consistent track record of research excellence.
• Knowledge of and experience in scan matching and odometry in unstructured/off-road environments, semantic segmentation of LiDAR and camera data using modern AI methods, and geometry‑semantics fusion for robust navigation and mapping (e.g., representation learning, distillation, feature/attention alignment, joint perception‑SLAM models).
• Passion for research and algorithms, including Python/ONNX and C++, e.g. PyTorch and ROS
  2.
• Excellent communication skills and a strong command of English.

The following are a plus:

• Simulation‑to‑real domain adaptation and experience on related techniques.
• Research & development experience in C++‑based deep‑learning inference on GPU and CPU (e.g. ONNX Runtime, Tensor
  
  RT, OpenVINO, or similar).
• Solid understanding of high-performance optimisation and model fine‑tuning techniques.
• Strong knowledge of ROS2 architecture, including executors, callback groups, and real‑time considerations.

• An inspiring multidisciplinary, international and academic environment. The university offers a dynamic ecosystem with enthusiastic colleagues in which internationalisation is an important part of the strategic agenda.
• A full‑time position for one year.
• Gross monthly salary between € 4,075.00 and € 5,538.00 per month, depending on experience and qualifications (UFO profile Researcher
  4).
• A holiday allowance of 8% of the gross annual salary and a year‑end bonus of 8.3%.
• Assistance in applying for the 30% ruling (a possible tax deduction for foreigners).
• Excellent support for research and facilities for professional and personal development.
• A total of 41 holiday days per year in the case of full‑time employment.
• Excellent working conditions, an exciting scientific environment, and a lively green campus.

Please submit your application before 16 January 2026
. Your application should include:

• A motivation letter (maximum 2 pages of A4), emphasizing your specific interest, qualifications and motivation to apply for this position.
• Curriculum Vitae with a full list of publications, and two references with their contact details.
• A short description (150 – 250 words) of your PhD research and a copy of your PhD diploma. If you are in the final stage, then a letter from your PhD supervisor, stating the date of PhD defence, is also sufficient.

Interviews will be held before the 30th of January 2026. If…