Master Thesis – Methods for Characterizing Optics and Image Reconstruction in LWIR Sensors
Core
Develop a model to predict pixel responsivity in microbolometer thermal sensors across varying ambient temperatures and optical conditions to improve image quality and simplify calibration.
Role type
Master's thesis researcher (optical engineering & sensor modeling)
Builds
Prototype thermal camera system
Domain
Thermal imaging, LWIR sensors, Microbolometer technology
Deliverable
production ML models
Required skills
Python, C++, C programming
Preferred skills
Computer vision, image analysis, optical sciences
Responsibilities
Investigate shutterless operation limitations, improve fixed-pattern noise correction models, explore sensor calibration limits without optics, build a prototype camera to demonstrate results
