Research fellow

Research Fellow (AI for Materials Science)

Level Unit: · Kent Ridge Campus

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About the position

Research Fellow (AI for Materials Science)

University-Level Unit:

Materials Science and Engineering

A Research Fellow (AI for Materials Science) position is available in the Department of Materials Science and Engineering at the National University of Singapore under the direction of Dr.

We are seeking a candidate who is interested in pursuing research in atomistic and generative modelling, agentic AI for physical science, theory & experimental alignment, and other related fields.

• PhD degree in Science or Engineering

• Education or a track record in applied mathematics, with a strong interest in physical sciences

• Practical experience with density functional theory calculations (e.g., VASP, Quantum Espresso, Q-Chem, PySCF)

• Ability to independently design and execute research projects and excellent proficiency in written and oral English.

What you’ll bring

  • • Practical experience with density functional theory calculations (e.g., VASP, Quantum Espresso, Q-Chem, PySCF)
  • • PhD degree in Science or Engineering
  • • Education or a track record in applied mathematics, with a strong interest in physical sciences
  • • A solid foundation in thermodynamics & statistical mechanics, solid-state physics/chemistry, and/or quantum mechanics
  • • Proficiency in at least one mainstream deep learning framework (e.g., PyTorch, JAX)
  • • Expertise in (atomistic) thermodynamic, kinetic simulations or computational chemistry
  • • Ability to independently design and execute research projects and excellent proficiency in written and oral English.

At a glance

Position type
Research fellow
Institution
Level Unit:
Department
Department of Materials Science and Engineering
Research group
Not stated
Location
Kent Ridge Campus
Supervisor / contact person
Dr. Peichen Zhong
Funding
Funding not stated
Duration
Not stated
Expected start
Not stated
Vacancy reference
Not stated

Research focus

Discipline
Materials Science, Chemistry, Physics
Research area
Not stated
Methods
DFT
Software
Quantum ESPRESSO, VASP

Dates to know

Listed on FOSS Positions
18 Sep 2026
Original advertisement date
Not stated in the source
Application deadline
Deadline not stated
Priority review date
Not stated
Last checked
18 Sep 2026
Last updated
18 Sep 2026

How to apply

Apply now
Apply now

Open application page ↗

https://careers.nus.edu.sg/talentcommunity/apply/34034/?locale=en_GB

Original sources

https://careers.nus.edu.sg/job/Research-Fellow-%28AI-for-Materials-Science%29/34034-en_GB ↗

https://careers.nus.edu.sg/talentcommunity/apply/34034/?locale=en_GB ↗

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