AI Researcher in STEM Fields

3 days ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

The Schmidt AI in Science Postdoctoral Fellowship at Nanyang Technological University offers a unique opportunity for early career researchers to apply AI to research in STEM fields. This fellowship is part of the Eric and Wendy Schmidt AI in Science Initiative, which aims to accelerate the next scientific revolution.

The selected fellow will have access to AI tools and training to develop and use AI in innovative methods to make the world better. The work will be conducted at the School of Physical and Mathematical Sciences, Nanyang Technological University.

About the Fellowship:
  • The fellowship is open to early career researchers from Singapore and around the world.
  • The selected fellow will receive access to AI tools and training.
  • The work will be conducted at the School of Physical and Mathematical Sciences, Nanyang Technological University.
Key Responsibilities:
  • Carry out investigations in critical fields of artificial intelligence and quantum science and quantum engineering.
  • Establish collaborations with international experts in artificial intelligence for quantum science and its broader applications.
  • Submit progress reports to NTU and Schmidt Sciences, stating progress, results and contributions.
  • Attend conferences/workshops/seminars organized by NTU and Schmidt Sciences to present research outcomes.
Job Requirements:
  • A PhD degree in quantum engineering, quantum information, quantum machine learning or a related field.
  • Experience in utilizing machine learning techniques for research in quantum science, quantum engineering, and quantum information.
  • Proficiency in programming, for example, with Python, PyTorch, Qutip, Qiskit, or similar software.
  • Good skills for communicating technical concepts to interdisciplinary scientific audiences and fostering collaborations with international experts.
  • Excellent verbal and written communication skills in English, essential for conducting research and scientific collaboration.
  • Skill in quantum machine learning, quantum computing, or reinforcement learning is highly desirable.

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