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Research Fellow – AI for Science (Humanities & Social Studies)

ntu · NTU Main Campus

Senior 🇬🇧 English
Python Google Earth Engine remote sensing geographic information systems statistics PyTorch Graph Neural Networks Convolutional Neural Networks Transformers

Job description

About the role

The National Institute of Education seeks a Research Fellow for a 25‑month fixed‑term contract within the Humanities & Social Studies Education Department. The role focuses on developing performance‑portable software and communication stacks for AI‑for‑Science workloads, enabling scientists to harness accelerated computing and networking resources in Singapore.

Key responsibilities

  • Design and implement optimized AI‑for‑Science software libraries compatible with modern architectures.
  • Develop data‑flow optimisation techniques that integrate AI models with scientific simulations.
  • Create communication acceleration layers for InfiniBand, Ultra Ethernet, and future networks.
  • Produce a suite of PyTorch libraries covering Graph Neural Networks, Convolutional Neural Networks, and Transformers for scientific applications.
  • Collaborate with multidisciplinary researchers and disseminate tools to the broader scientific community.

Required profile

  • PhD in Hydrology, Computing, Earth Science or a closely related discipline.
  • Minimum three years of relevant experience in an academic research environment.
  • Proven track record of academic report writing or peer‑reviewed publications.
  • Ability to work independently and follow through on complex projects.
  • Experience conducting geography fieldwork and collaborating in multicultural teams.

Required skills

  • Python programming
  • R programming
  • Google Earth Engine
  • Remote sensing
  • Geographic Information Systems (GIS)
  • Statistics
  • PyTorch
  • Graph Neural Networks
  • Convolutional Neural Networks
  • Transformers

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Source : ats:workday

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Published 1 month ago

Expires 2 weeks from now

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ntu

NTU Main Campus