Faculty Position in AI for Theoretical and Physics-Informed Modelling
Join Xi'an Jiaotong-Liverpool University as a faculty member advancing AI-driven and physics-informed computational modeling.
Best for:Best for researchers with a background in physics or computational science and expertise in physics-informed machine learning.
Overview
Xi'an Jiaotong-Liverpool University invites applications for an open-rank faculty position in AI for Theoretical and Physics-Informed Modelling within the Department of Physics. The successful candidate will lead high-impact research at the intersection of machine learning and physical sciences, mentor undergraduate and PhD students, and teach courses in physics and mathematics. This role offers an exciting opportunity to help shape the university's expanding AI-for-Science initiatives in an international academic environment. Applicants are expected to demonstrate excellence in research, a commitment to quality teaching, and the ability to secure competitive funding.
What you'll do
- Conduct high-quality research and publish findings in top-tier peer-reviewed journals.
- Actively apply for and secure national and international research grants and funding.
- Supervise and mentor undergraduate and PhD students in research projects.
- Deliver undergraduate and graduate courses in physics and mathematics in English.
- Participate in departmental and university affairs while fostering interdisciplinary collaboration.
Requirements
Degree required: PhD in Physics, Astronomy, or a closely related discipline
Language: English; fluency in written and spoken English
Instruction: English
Publications: Record of high-quality publications in top journals appropriate to career rank
- Demonstrated ability or strong potential in undergraduate and postgraduate teaching
- Solid background in observational, experimental, or data-intensive physics or astrophysics
- Expertise in physics-based modeling, numerical simulation, or AI-enhanced scientific computing
- Fluency in written and spoken English
- Candidates over 65 years of age may not be eligible for a work visa in P.R. China
Funding & terms
How to apply
Deadline: 2026-11-13
Prepare all required application documents combined into a single PDF file, ordered by cover letter, CV, publication list, research statement, teaching statement, and reference contact details. Submit the application through the online portal link provided in the posting.
- Cover letter
- CV
- Full publication list
- Research statement
- Teaching statement
- Reference contact details
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.