NATIONAL UNIVERSITY OF SINGAPORE is hiring for a Research Fellow (On-Chip Polarimeters) internship — a 12-month, on-site Data Science role based in LOWER KENT RIDGE ROAD, Singapore. It is an unpaid internship. It is open to university students, typically in Year 2–4. Applicants with experience in Machine Learning, Design, Designs, Simulation, and Electrical are a strong fit.
⚡ New Data Science internships, the moment they're posted — join our Telegram
About this role
Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal. NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28On-Chip-Polarimeters%29/33370-en_GB/ We regret that only shortlisted candidates will be notified. Job DescriptionThe team of Prof Loh Kian Ping is seeking a highly motivated Research Fellow to lead the development of a miniaturized, on-chip polarimeter based on chiral 2D Halide Organic-Inorganic Perovskites for full Stokes vector detection. The candidate will focus on optical simulation, cleanroom nanofabrication, device integration, optoelectronic testing, and machine learning-driven signal reconstruction. Note: This role focuses on device engineering and computation; independent material synthesis is not required. Key Responsibilities: • Design & Simulation: Model sub-wavelength polarization-selective metasurfaces using electromagnetic simulation tools (FDTD/FEM) to establish optoelectronic eigenvectors. • Nanofabrication: Fabricate multi-pixel sensor arrays and integrate pre-synthesized chiral 2D HOIP layers into metasurface architectures in a cleanroom environment. • Optoelectronic Characterization: Build and operate automated optical benches to test multi-pixel photocurrent responses under varied polarization states. • Data Analysis & ML: Develop Python/MATLAB machine learning algorithms to map photocurrents to full Stokes parameters, targeting a reconstruction error of \(Required Qualifications: • Ph.D. in Electrical Engineering, Applied Physics, Materials Science, Optical Engineering, or a related field. • Strong background in nanophotonics, metasurfaces, and polarization optics (Stokes vectors). • Hands-on cleanroom fabrication experience (EBL, photolithography, thin-film deposition).
Also in Data Science