PhD Researcher in Semiconductor Detector Development (Remote, Research)

Job summary

This PhD project focuses on the development and validation of advanced cadmium zinc telluride (CZT) detector modules for high-energy transient gamma-ray missions, addressing challenges such as pile-up and spectral distortion. The role involves integrating detector physics with machine learning for enhanced signal processing.

Qualifications

• MSc degree in Electrical Engineering, Engineering Physics, Applied Physics, or a related field
• Strong background in radiation detection and measurements
• Experience with semiconductor radiation detectors
• Hands-on experience with experimental radiation measurements and data analysis
• Solid knowledge of semiconductor physics
• Proven experience with FPGA development and digital hardware implementation
• Strong background in machine learning, including neural network training and deployment
• Experience implementing neural networks or advanced signal processing on FPGA or embedded systems
• Strong programming skills in scientific and machine learning frameworks

Responsibilities

• Develop theoretical and numerical models of CZT detector response
• Design and characterize multi-electrode semiconductor detector modules
• Perform radiation measurements and detector calibration
• Develop and train machine learning models for waveform-level signal analysis
• Optimize and implement trained neural networks on FPGA platforms
• Benchmark detector and algorithm performance against established methods
• Collaborate with industry partners on readout electronics and system validation

Education

• A two-year master's degree (120 ECTS points) or equivalent academic level is required.

Tools

• Familiarity with FPGA platforms and relevant scientific programming frameworks is essential.