Technion Oy specializes in control systems for off-highway machinery and vehicles built to perform in demanding conditions. Our solutions are used worldwide in a broad range of applications, from forestry and mining machinery to forklifts and aerial work platforms. With more than 30 years of experience and a highly skilled team of experts, we have built a strong and respected position in our field. As part of the global HYDAC Group, we combine the agility of a specialized company with the strength of an international organization.

We are looking for a Master’s thesis student to join our R&D team to work on AI-based perception solutions in research project.

The thesis focuses on applying deep learning methods to a real-world machine vision and automation problem in an off-highway environment. The work includes developing and evaluating perception algorithms for object detection. The thesis will be carried out primarily using existing datasets, with the possibility of collecting additional data later if needed. The developed solutions will ultimately be validated in a real machine environment.

Your responsibilities include training and validating neural network models, processing multimodal sensor data, and comparing different algorithmic approaches to identify the most suitable solution for the task. You will also contribute to dataset preparation and annotation from a model development perspective.

Planned start date is June (negotiable).

The student will not be employed by the company. Students working on AI-related thesis topics may apply for external funding: https://techfinland100.fi/grants-for-masters-theses-on-ai-topics/

We hope you have:

• · Some hands-on experience with deep learning frameworks
• · Basic knowledge of computer vision
• · Programming skills in Python and/or C
• · A structured way of working and the ability to document technical results clearly
• · Fluent written and spoken English

It is a plus if you also have:

• · Familiarity with embedded systems
• · Familiarity with a Linux environment
• · Experience with ROS / ROS2
• · Experience with RGB-D or LIDAR sensor data
• · Written and/or spoken Finnish

In this role, your primary workplace will be our Tampere office at Hatanpää.

Interested? Please submit your application and CV via the application form by April 26, 2026. Interviews will begin in week 18.