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Postdoctoral Researcher/Fellow (AI for Energy Materials)

  • Company: Nanyang Technological University
  • Location: Singapore (nationwide) (nationwide)
  • Salary: Pay not listed
  • Full Time
  • Company site
  • Map
  • Pay not listed

Nanyang Technological University at a glance

ntu.edu.sg
  • Founded 1991
  • Employees 7571

SEC filings mentioning "Nanyang Technological University": 167search EDGAR

Federal funding recipient: largest known award $406K from the Department of Defense (started Feb 20, 2017) — via USAspending.gov

Nicop - molecular mechanisms of barnacle adhesion: a combined structural biology and computational study

Registered as a global legal entity (LEI 549300NYFBZNS57ZX444, SG) — via GLEIF

Recipient of NIH research funding: 2 grants, most recently in 2017 from the NIAID — via NIH RePORTER

Clinical trial sponsor: 47 trials registered, 12 currently active/recruiting — via ClinicalTrials.gov

Nanyang Technological University (NTU) is a national public research university in Singapore (nationwide) (ntu.edu.sg). DATA lists it as founded in 1991 with about 7,571 employees. Recent coverage includes AI for satellite constellation management with Fusic, a Nestlé partnership on healthy longevity research, and Max Planck Centers in Singapore (nationwide).

7,035 Wikipedia views in July 2026 — a rough gauge of public visibility.

Source: Wikipedia · LinkedIn · X

Postdoctoral Researcher/Fellow (AI for Energy Materials) at Nanyang Technological University, Singapore (nationwide) (nationwide)

The Opportunity

Nanyang Technological University is seeking a Postdoctoral Researcher/Fellow to join our cutting-edge research team focusing on the intersection of artificial intelligence, computational chemistry, and energy materials. This role will involve developing AI-driven methodologies for catalyst and materials discovery, conducting atomistic simulations, and gaining data-driven insights into complex energy systems.

What You'll Do

  • Conduct research at the interface of AI, computational chemistry, and energy materials
  • Develop AI-driven methods for catalyst and materials discovery
  • Perform atomistic simulations to understand material properties and behavior
  • Utilize data-driven approaches to gain insights into complex energy systems

Qualifications

  • PhD in Computer Science, Chemistry, Materials Science, or a related field with a focus on AI for materials science
  • Strong background in computational chemistry and/or machine learning
  • Prior experience in AI-driven catalyst and material discovery is preferred
  • Proficiency in programming languages such as Python, R, or MATLAB
  • Experience with molecular dynamics simulations and data analysis tools

Working at Nanyang Technological University

Nanyang Technological University offers a dynamic research environment and opportunities for collaboration across disciplines. Our commitment to innovation and excellence will provide you with the resources and support needed to advance your career.

How to Apply

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What people say about Nanyang Technological University

Recent news

Aggregated from public discussions and news; opinions are the authors’ own.

Working in Singapore (nationwide) (nationwide)

Singapore (nationwide) is an island city-state in Southeast Asia, near the equator at the southern tip of the Malay Peninsula. Work is on-site (not remote). Campus life sits within a dense, well-connected urban research hub rather than a suburban lab park.

🇸🇬 Relocation safety for Singapore (nationwide): Very Safevia Warnely, CC BY 4.0

National unemployment rate in Singapore (nationwide): 2.8%via World Bank

GDP per capita in Singapore (nationwide): $98,814via World Bank

Consumer price inflation in Singapore (nationwide): 0.9% (annual) — via World Bank

Real GDP growth in Singapore (nationwide): 5.0% (annual) — via World Bank

    Build the skills for this role

    • Deep learning / scientific ML for materials (structure–property, surrogate models)
    • Materials informatics, DFT or MD workflow literacy as needed by the group
    • Python research stack, experiment tracking, and clear paper writing
    No certification list or costs were provided in CERTS.

    • Walk through a past paper or project end-to-end: hypothesis, data, model or simulation, failure modes, and what you would redo
    • Explain how AI methods map to energy-materials questions (stability, discovery, inverse design) without overclaiming
    • Prepare collaboration examples with experimentalists or multi-author teams and a short research agenda for NTU

    Strong fit if you want university research in Singapore (nationwide), publishable AI-for-materials work, and independence under a faculty PI. Weaker fit if you need remote work, industry product delivery pace, or a permanent staff ladder from day one.

    Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.

    Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.

    Add application deadline to calendar

    Listing facts

    • Role Postdoctoral Researcher/Fellow (AI for Energy Materials)
    • Employer Nanyang Technological University
    • Location Singapore (nationwide) (nationwide)
    • Type Full Time
    • Pay (from listing) Pay not listed
    • Posted August 14, 2026
    • Apply by September 13, 2026
    • Country Singapore (nationwide)
    • Overview Full job description on this page (227 words)

    Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

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    Employer website

    ntu.edu.sg

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    Postdoctoral Researcher/Fellow (AI for Energy Ma… Nanyang Technological University · Singapore (nationwide)