Automated ROIC Photodiode Image Sensor Characterization

Imec; Vlaams-Brabant; On-site; EUR 13,000 - 20,000; Part time

Benefits offered by this job

Imec allowance for non-Belgian uni

Job summary

Imec in Belgium invites a Master student to work on automated characterization of ROIC thin-film photodiode image sensors. You will learn image sensor performance indicators and develop Python-based measurement procedures, integrating with existing software.

The internship combines development and lab work (40% development, 40% lab, 10% literature study, 10% reporting), lasts 6-9 months, and includes supervision by Jan Genoe (KU Leuven) and Tristan Weydts.

Qualifications

• Programming knowledge, preferably Python.

Responsibilities

• Learn about the performance indicators of image sensors, including industry standards such as EMVA1288 and more custom methods.
• Implement measurement procedures, integrating the code into our existing measurement software written in Python.
• Write scripts and maintainable code to analyse the measurements and present the results in clear graphs and metrics.
• Develop the required hardware (PCB, mechanical, test setup) to perform the measurements in an automated manner.
• Apply the new methods to our library of image sensors with a wide range of materials, wavelengths and performances.

Skills

Python

Education

Electrotechnics/Electrical Engineering, Nanoscience & Nanotechnology

Job description

Imec in Belgium invites a Master student to work on automated characterization of ROIC thin-film photodiode image sensors. You will learn image sensor performance indicators and develop Python-based measurement procedures, integrating with existing software.

The internship combines development and lab work (40% development, 40% lab, 10% literature study, 10% reporting), lasts 6-9 months, and includes supervision by Jan Genoe (KU Leuven) and Tristan Weydts.