Optoelectronic Chromatic Dispersion in Photodiodes and Photovoltaic Cells for Miniaturized Optical Spectroscopy Driven by Machine Learning and Supported by 3D Physics Simulations

This PhD opportunity at Ariel University focuses on the development of a new class of optoelectronic sensors for miniaturized optical spectroscopy and material sensing. The project leverages photodetectors and photovoltaic cells, which are widely used for optical power measurements and energy harvesting, to create advanced sensors capable of high-precision material analysis. The research integrates machine learning techniques and 3D physics simulations to optimize sensor performance and enable novel approaches to chromatic dispersion analysis in optoelectronic devices. Students will join the Department of Electrical and Electronic Engineering and work under the supervision of Prof S Sternklar. The research is highly interdisciplinary, combining elements of electrical engineering, experimental and optical physics, solid state physics, and materials science. The project is ideal for candidates interested in sensor development, optoelectronics, and the application of computational methods to physical device optimization. Applicants should have a strong background in electrical engineering, physics, materials science, or a related discipline. Experience with optoelectronic devices, photodetectors, photovoltaic cells, and machine learning is advantageous. The position offers access to state-of-the-art laboratory facilities and a collaborative research environment. Funding details are not specified in the announcement; candidates are encouraged to inquire directly with the supervisor or department regarding available support. Applications are accepted year-round, providing flexibility for prospective students. To apply, submit your CV and a statement of research interests via the FindAPhD project page and contact the supervisor for further information.