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Faculty Position in AI for Observational and Data-Driven Astrophysics [Open Rank]

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Suzhou, China

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Faculty Position in AI for Observational and Data-Driven Astrophysics [Open Rank]

Position Overview

School: School of Mathematics and Physics
Department: Department of Physics
Position: Faculty Position in AI for Observational and Data-Driven Astrophysics Position [Open Rank]
Location: Suzhou, China
Job ID: 4366
Contract Type: Fixed-term, renewable. 3rd contract is open-ended

POSITION INTRODUCTION

The Department of Physics at Xi’an Jiaotong-Liverpool University (XJTLU) invites applications for a faculty position in AI for Observational and Data-Driven Astrophysics. We seek a highly motivated and well-qualified candidate with a strong background in observational astrophysics and data-intensive research. Research interests may include (but are not limited to) interstellar medium, star formation, exoplanets, time-domain astronomy, and large-scale astronomical surveys. Relevant expertise may involve radio, millimetre-wave, or infrared observations, spectral analysis, and advanced computational and artificial intelligence–based methodologies. The successful candidate is expected to contribute actively to high-quality teaching, curriculum development, and student training, while developing a strong and internationally visible research program.

RESPONSIBILITIES

  • Conduct high-quality research and publish in top journals;
  • Actively apply for national and international research funding;
  • Supervise research projects of undergraduate and PhD students;
  • Deliver undergraduate and graduate courses in physics and mathematics in English;
  • Actively participate in departmental and university affairs, and promote interdisciplinary collaboration, particularly with data science and artificial intelligence.
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