TL;DR

Master Thesis - Visual-to-Thermal Image Translation For Deep Learning Model Training (AI Engineering): Conduct research and implement visual-to-thermal image translation techniques to train thermal object detection models for surveillance. Focus on applying deep learning and image processing methods to improve training datasets and evaluate model performance.

Location: On-site in Lund, Sweden

Company

%hirify_global% develops innovative network technology solutions for video surveillance, access control, intercom, and audio systems enhanced by intelligent analytics.

What you will do

Implement visual-to-thermal image translation using deep learning and traditional image processing techniques.
Evaluate the performance of object detection models trained on translated thermal-looking images.
Collaborate with the METS organization on thermal camera analytics solutions.
Work as part of a two-student team completing a Master's thesis project.

Requirements

Must be a Master's student affiliated with a Swedish University or College.
Strong interest in computer vision and machine learning.
Experience with Python and deep learning frameworks such as TensorFlow or PyTorch.
Ability to work on-site in Lund, Sweden.
Applications accepted in English or Swedish.

Culture & Benefits

Collaborative and inclusive work environment with a focus on diversity and sustainability.
Opportunity to work with cutting-edge surveillance and analytics technology.
Part of a global company with 5000 employees in over 50 countries.