Prashant Kumar
3 months ago
PhD Positions in Structure–Optics, Chirality, and Quantitative Microscopy at Nanyang Technological University Singapore Nanyang Technological University Singapore in Singapore
Degree Level
PhD
Field of study
Computer Science
Funding
No explicit funding details are provided in the post. It is implied to be a funded PhD position, but stipend amount, tuition coverage, or other financial details are not mentioned.
Deadline
Expired
Country
Singapore
University
Nanyang Technological University Singapore

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About this position
Nanyang Technological University Singapore is recruiting PhD students in the School of Materials Science and Engineering for research in structure–optics, chirality, and quantitative microscopy. The positions focus on understanding how structure, defects, and asymmetry (chirality) influence optical responses across THz, mid-IR, and visible-NIR ranges. The research integrates multimodal microscopy techniques (TEM/SEM, optical/polarization microscopy) with electrodynamics simulations and data-driven analysis.
Three open PhD tracks are available: (1) Machine learning and computer vision for microscopy-driven structure-optics correlations, (2) Chiral nanophotonics and structure-driven light–matter interaction, and (3) Polarization microscopy instrumentation and automation. The lab seeks candidates with strengths in Python, machine learning, optics, instrumentation, or electronics, and a strong quantitative mindset.
Supervision is provided by Dr. Prashant Kumar, Nanyang Assistant Professor, whose research interests include advanced microscopy and materials for healthcare. The opportunity is based at NTU Singapore, a leading institution in materials science research.
Applicants should prepare a CV and cover letter and send them to [email protected], specifying the desired PhD track in the subject line. The application deadline is January 19, 2026. No explicit funding details are provided, but the positions are typical of funded PhD opportunities in Singapore. For more information, candidates can refer to the supervisor's LinkedIn and academic profile pages.
Keywords: Microscopy, Materials Science, Chirality, Optics, Machine Learning, Computer Vision, Nanophotonics, Polarization Microscopy, Electrodynamics Simulations, Data-driven Analysis.
Funding details
No explicit funding details are provided in the post. It is implied to be a funded PhD position, but stipend amount, tuition coverage, or other financial details are not mentioned.
What's required
Applicants should have a strong background in Python, machine learning, computer vision, optics, instrumentation, or electronics, and possess a strong quantitative mindset. Candidates should be interested in structure-optics correlations, chiral nanophotonics, or polarization microscopy automation. A CV and cover letter are required for application. No specific GPA, language test, or degree discipline requirements are mentioned, but relevant skills and interests are emphasized.
How to apply
Send your CV and cover letter to [email protected] with the subject line indicating the PhD opening number (#1, #2, or #3).
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