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Internship | Machine learning and magnetic field SLAM for pedestrian navigation

Posted 1 Jul 2025
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Work experience
0 to 2 years
Full-time / part-time
Full-time
Job function
Salary
€615 per month
Degree level
Required language
English (Fluent)

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Internship | Machine learning and magnetic field SLAM for pedestrian navigation

About this position

Society has become heavily dependent on Position, Navigation and Time (PNT) information derived from Global Navigation Satellite Systems (GNSS). These systems provide accurate estimates of position and time, but are vulnerable to interference due to their weak signal strengths. In military contexts, this poses a significant threat to operational effectiveness. Military personnel on foot are particularly challenged in GNSS-denied environments. Fall-back navigation methods such as maps and compasses are time-consuming and error-prone. Additionally, strict SWaP (size, weight & power) constraints are critical, as soldiers carry all equipment. Light-weight software-enhanced GNSS-denied PNT solutions are therefore vital, and a point of focus for the PNT team.

What will be your role?

We offer two master’s thesis level internship assignments:

  • Modelling locomotion using neural networks: Recent literature has demonstrated the use of neural network approaches for modelling walking displacements using low-cost hardware in controlled conditions. The military context is more challenging: soldiers walk, run, sneak, crouch or walk sideways over every terrain imaginable. The goal is to explore and improve data-driven modelling in the military context to make high-quality models for any condition.
  • Magnetic Navigation in Buildings: Upon entering buildings, GNSS and other navigation techniques seize working. Recent literature has shown that magnetic sensors can pick up local characteristics of steel structures in constructions. This allows SLAM algorithms to build up a map that can be used for navigation. This assignment focuses on modelling these local magnetic fields efficiently and validating these models through experiments.

You will perform this assignment in the PNT team, part of the Autonomous Systems & Robotics department. We are a passionate, dedicated and tightly-knit team with extensive knowledge of multi-agent systems, system architectures, software engineering, information fusion, artificial intelligence and robotics.

What we expect from you

You are in the final stages of a Master's degree in a relevant field of study (e.g., mechanical engineering, AI, aerospace engineering).

  • Experience with the Python programming language.
  • Affinity with or interest in the military domain is a plus.

Please include the following practical information in your cover letter:

  • The preferred duration of your project (flexible in the range of 6 to 12 months).
  • Your desired start date (flexible, but keep the possible maximum duration of the required security screening in mind).

What you'll get in return

You want an internship opportunity on the precursor of your career; an internship gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Furthermore, we provide:

  • A highly professional, innovative internship environment, within a team of top experts.
  • A suitable internship allowance (615 euro for wo-, hbo- and mbo-students, for a full-time internship).
  • Possibility of eight hours of free leave per internship month (for a full-time internship).
  • A free membership of Jong TNO, where you can meet other TNO professionals and join several activities, such as sports activities, (work-related) courses or the yearly ski-trip.
  • Use of a laptop.
  • An allowance for travel expenses in case you don’t receive an OV-card.

TNO as an employer

At TNO, we innovate for a healthier, safer and more sustainable life. And for a strong economy. Since 1932, we have been making knowledge and technology available for the common good. We find each other in wonder and ingenuity. We are driven to push boundaries. There is all the space and support for your talent and ambition. You work with people who will challenge you: who inspire you and want to learn from you. Our state-of-the-art facilities are there to realize your vision. What you do at TNO matters: impact makes the difference. Because with every innovation you contribute to tomorrow’s world.

At TNO we encourage an inclusive work environment, where you can be yourself. Whatever your story and whatever unique qualities you bring to the table. It is by combining our unique strengths and perspectives that we are able to develop innovations that make a real difference in society.

E-mailadres: tijs.rozenbroek@tno.nl

Innovation with purpose: that is what TNO stands for. We develop knowledge not for its own sake, but for practical application. TNO connects people and knowledge to create innovations that boost the competitive strength of industry and the well-being of society in a sustainable way.

Management Consulting
Den Haag
3,300 employees