PhD Project in Photovoltaics, Machine Learning, and Optimization at HITEC Graduate School

A PhD project is available at the HITEC Graduate School in collaboration with the Jülich Supercomputing Centre (JSC), focusing on interdisciplinary research in photovoltaics, high-throughput experimentation, machine learning, and optimization. The project is supervised by Professor Bugra Turan, who specializes in sensorics, mechatronics, and actuator technology at Rheinische Fachhochschule Köln and RWTH Aachen University. The successful candidate will work at IMD-3 under joint supervision with JSC, engaging in cutting-edge research that combines materials science, computational methods, and engineering. Applicants should have a strong interest and initial experience in the relevant fields, including photovoltaic technologies, experimental methods, and computational optimization. The project offers a unique opportunity to collaborate with leading experts and utilize advanced supercomputing resources for research. The interdisciplinary nature of the work encourages candidates from diverse backgrounds such as materials science, physics, computer science, and engineering to apply. For more details about the project and application process, candidates are encouraged to review the proposal linked in the announcement. The position is ideal for motivated individuals seeking to advance their expertise in both experimental and computational approaches to energy and materials research.