Faculty Positions in AI for Theoretical and Physics-Informed Modelling

Join Xi'an Jiaotong-Liverpool University as a faculty member in AI for theoretical and physics-informed modelling.

Best for:Best for computational physicists and AI researchers with expertise in physics-informed modeling and scientific machine learning.

XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU) · Suzhou, China · R3 · Established researcher

More professors at XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)

Physics-Informed Neural NetworksScientific Machine LearningComputational PhysicsNumerical SimulationAstrochemical Modelling

This is a faculty position — not a PhD studentship.Non-tenure

Deadline

Nov 13, 2026

29 days

Funding

Salaried

Competitive salary in the market

Start date

flexible

Fixed-term

Location

Suzhou

China

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 drive research in scientific computing, machine learning, and physics-based numerical simulations while contributing to undergraduate and graduate education. Responsibilities include securing external funding, publishing in top-tier journals, and fostering interdisciplinary collaborations across data science and AI. Applicants are expected to possess a strong background in computational physics or related fields alongside a commitment to academic excellence.

Artificial IntelligencePhysics-Informed ModellingComputational PhysicsNumerical SimulationScientific ComputingFaculty PositionAstrophysics

What you'll do

Conduct high-quality research and publish findings in top-tier academic journals
Actively apply for national and international research grants and funding programmes
Supervise research projects for undergraduate and PhD students
Deliver undergraduate and graduate courses in physics and mathematics in English
Participate in departmental and university affairs while promoting interdisciplinary collaboration with data science and AI

Requirements

Degree required: PhD in Physics, Astronomy, or a closely related discipline

Language: English; fluency in written and spoken English

Instruction: English

Publications: Strong record of high-quality publications in top venues

Required skills

Demonstrated ability or strong potential in undergraduate and postgraduate teaching
Solid background in computational physics, numerical simulation, or data-intensive astrophysics
Fluency in written and spoken English
Postdoctoral research experience or equivalent academic experience

Nice to have

Strong record of high-quality publications in computational and AI approaches to astrophysicsProven experience in proposing for, conducting, and leading observations with world-class facilitiesInternational academic experience and collaborative ties with globally leading research institutionsExperience leading or playing a key role in national-level scientific projectsStrong potential to secure national or international research funding

Eligibility

Candidates over 65 years of age may not be eligible for a work visa in the P.R. China

Funding & terms

Type

Salaried

Amount

Competitive salary in the market

Duration

Fixed-term, renewable. 3rd contract is open-ended

Programme

Xi'an Jiaotong-Liverpool University

How to apply

Deadline: 2026-11-13

Applications must be submitted as a single PDF file containing all required documents in the specified order. Inquiries can be directed to the Head of the Department of Physics or the HR contact.

Documents required