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A PhD position is available at the University of Southampton in the area of hotspot detection and temperature monitoring of electronics using acoustic waves and machine learning. The research group has a strong track record in developing non-invasive, high-resolution temperature monitoring techniques for printed circuit boards (PCBs) and other electronic systems, leveraging ultrasonic guided waves and advanced signal processing. The project aims to extend current methods towards predictive maintenance and condition monitoring, with applications in aerospace, automotive, and sustainable electrification. The successful candidate will work on simulation (COMSOL), sensor design, and machine learning algorithms to identify temperature hotspots and predict failures in electronic components. The group collaborates across engineering and computer science, and recent publications highlight the use of piezoelectric sensors and data-driven approaches. Applicants should have a strong background in electrical engineering, computer science, or physics, with skills in programming and interest in machine learning. The application deadline is 31 January 2025. Funding details are not specified; candidates should consult the application link or contact the supervisor for more information.

A PhD position is available at the University of Southampton in the area of hotspot detection and temperature monitoring of electronics using acoustic waves and machine learning. The research group has a strong track record in developing non-invasive, high-resolution temperature sensing techniques for printed circuit boards (PCBs) and aerospace components, leveraging ultrasonic guided waves and advanced signal processing. The project will focus on extending current methods towards predictive monitoring, integrating machine learning algorithms to identify and forecast temperature hotspots in electronic systems. Applications include condition monitoring for electrification in aerospace and automotive industries, with relevance to sustainable aviation and reliability of electronic systems. The supervisory team includes experts from the University of Southampton and Cranfield University, with extensive publications in the field. Applicants should have a strong background in engineering, physics, or computer science, and an interest in experimental research and data analysis. The application deadline is 31 January 2025. Funding details are not specified; candidates are encouraged to consult the application link or contact supervisors for more information.