Researcher (Postdoc) in Advanced Perception and SLAM

2 weken geleden


Enschede, Overijssel, Nederland Universiteit Twente Voltijd
About the Position

We are seeking a highly motivated Postdoctoral Researcher to join our team at the University of Twente, in collaboration with Demcon, to work on off-road SLAM using lidar, camera, and IMU.

The successful candidate will have a deep understanding of semantic segmentation, SLAM, sensor fusion, embedded programming, and/or real-time computing, and will be passionate about developing advanced perception systems using deep learning and classification techniques.

The project involves designing and implementing algorithms and running simulations, with testing with actual robotic platforms handled by Demcon. The position offers a unique opportunity to blend academic research with real-world applications, supported by a leading company in the industry.

Key Responsibilities

  • Design and implement algorithms for off-road SLAM using lidar, camera, and IMU
  • Develop advanced perception systems using deep learning and classification techniques
  • Run simulations and test with actual robotic platforms
  • Collaborate with a multidisciplinary team to develop innovative solutions

Requirements

  • PhD degree in a relevant field
  • Consistent track record of research excellence
  • Knowledge of and experience in semantic segmentation, sensor fusion, SLAM, and/or real-time computing
  • Passion for research and algorithms, including Python and C++
  • Excellent communication skills and a strong command of English

What We Offer

  • A full-time position for 2 years
  • Gross monthly salary between € 3,858,- and € 5,278,- per month
  • Excellent support for research and facilities for professional and personal development
  • A solid pension scheme
  • A total of 41 holiday days per year in case of full-time employment

How to Apply

Please submit your application, including a motivation letter, curriculum vitae, and a short description of your PhD research, before 27 September 2024. Interviews will be held in October, and the position will most likely start on 1 November 2024.



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