NT
Ntu

Research Fellow (Ultrafast Spectroscopy)

Full-time
NTU Main Campus, Singaporevia Ntu CareersPosted Oct 26, 2026
Match with my CV

Technical skills

PythonData analysis

About this role

The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University (NTU), Singapore, is a leading engineering school with a strong commitment to research excellence.

The Quantum Magnonics and Spintronics (QMagSpin) Lab is seeking a Research Fellow to investigate collective quantum excitations in two-dimensional materials and heterostructures, through nanoscale device engineering and advanced optical spectroscopy.

Key Responsibilities

  • Design and fabricate nanoscale heterostructure devices to engineer functional interfacial couplings.
  • Develop novel experimental setups and measurement protocols for ultrafast optical, Raman, and terahertz spectroscopy.
  • Investigate the excitation, detection, propagation, and control of magnons, phonons, and other collective excitations.
  • Perform low-temperature, magnetic-field-dependent, and time-resolved measurements.
  • Analyze experimental data, publish research findings, and collaborate with students and research partners.
  • Job

Requirements

  • PhD in Physics, Applied Physics, Materials Science, Electrical Engineering, or a related discipline.
  • Strong background in experimental condensed matter physics, quantum materials, optics, or related fields.
  • Hands-on experience in experimental instrumentation, measurement development, and data analysis.
  • Proficiency in scientific programming using Python, MATLAB, or equivalent tools.
  • Experience in ultrafast spectroscopy, nanofabrication, two-dimensional materials, or low-temperature measurements is advantageous.
  • Strong analytical, problem-solving, communication, and collaborative skills.
  • Entry level candidates are welcome to apply.
  • We regret to inform you that only shortlisted candidates will be notified.
  • Hiring Institution: NTU

Before you apply

  • 1Which parts of your CV prove experience with Python and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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