Lulea University

Lulea University

Amanuensis in Robotics and Artificial Intelligence with focus on multi-sensor fusion for autonomous navigation in harsh environments, ref no 3863-2023



Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, public actors and leading universities. Luleå University of Technology has a total turnover of SEK 1.9 billion per year. We currently have 1,840 employees and 17,670 students.

In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future.

The Robotics and Artificial Intelligence Team from Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology is looking for a student who has experience in multi-sensor fusion to work in a project related to autonomous navigation in harsh environments.

You will have the ability to work and collaborate with researchers within the Robotics and artificial intelligence group at Luleå University of Technology, in tasks involving:

  • Filtering out environmental noise (aerosol particles) acquired from LiDARs and RGB-D cameras.
  • Multi-Sensor Fusion for Autonomous Navigation in Subterranean Environments.
  • 3D Point Cloud Segmentation and Object Detection.
  • Duties Characteristic duties for this position will focus on the following areas:

  • Development algorithms and their software implementation for ROS in C++, Python and MATLAB with focus on robotic perception.
  • Field deployment and experimental evaluation in harsh environments.
  • Qualifications You must be enrolled as a student in a university program in the field of applied artificial intelligence with background in robotics and be interested in developing algorithms for multi-sensor fusion for autonomous navigation in harsh environments.

    You must be able to express yourself both orally and in writing in English as it is part of the task of communicating the results in English to co-workers and research partners. You are also required to take your own initiative and to be able to work independently.

    Information The position covers 50% of full-time, on average 2-3 days of the week for 2-4 months, or by appointment. The workload may vary over time and according to agreement. The goal is to distribute it in a way that makes it compatible with your studies. Placement is Luleå.

    For further information, please contact: Dr. Anton Koval, +46 (0)920-4 92381, [email protected]

    Union representatives: SACO-S Kjell Johansson +46 (0)920-49 1529 kjell.johansso[email protected] OFR-S Lars Frisk, +46 (0)920-49 1792 [email protected]

    In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence.

    Application We prefer that you apply for the position via the application button below, where you attach a personal letter, as well as your CV. Please mark your application with the reference number below. Please write your application in English since we have English speaking recruitment group.

    Closing day for applications: 30 September 2023 Reference Number 3863-2023

    Job details


    Amanuensis in Robotics and Artificial Intelligence with focus on multi-sensor fusion for autonomous navigation in harsh environments, ref no 3863-2023


    Lulea University




    September 16, 2023

    Application deadline

    September 30, 2023

    Job type



    Computer Science,Engineering

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