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Xi’an Jiaotong-Liverpool University

Postdoctoral Researcher in Industrial AI, Digital Twin, and Intelligent Control Systems Xi'an Jiaotong-Liverpool University in China

Degree Level

Postdoc

Field of study

Computer Science

Funding

Competitive salary in the market. Benefits are according to university policy. The university sponsors a working visa and residence permit in China.

Deadline

Dec 22, 2026

Country flag

Country

China

University

Xi’an Jiaotong-Liverpool University

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Chemical Engineering
Materials Science
Edge Computing
Fault Diagnosis
Reinforcement Learning
Digital Twin Technology
Optimisation
Industrial Iot
Robotics
Intelligent Control
Large Language Models
AI industry

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About this position

Xi'an Jiaotong-Liverpool University (XJTLU) is recruiting a Postdoctoral Researcher for its Industrial Intelligent Agent Research Center in China. The post focuses on two related research directions: Industrial AI Algorithm and Autonomous Decision-Making Systems and Industrial Digital Twin and Intelligent Control Systems.

Research topics include reinforcement learning, deep reinforcement learning, large language models, time-series prediction, intelligent optimization, digital twin modeling, predictive maintenance, fault diagnosis, advanced process control, industrial IoT, and edge computing. The role involves publishing in top-tier journals and conferences, contributing to patents and grant proposals, collaborating with industry partners, and helping supervise PhD and Master's students.

Applicants should have a PhD obtained or soon to be obtained in Computer Science, Automation, Artificial Intelligence, Operations Research, Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, or a related field. Strong programming skills in Python, PyTorch/TensorFlow, MATLAB, or C++ are expected, together with excellent teamwork and communication skills in Chinese and English. Experience with industrial projects or DCS/MES systems is preferred.

The position offers a competitive salary, benefits according to university policy, and sponsorship for a working visa and residence permit in China. The deadline is 22 Dec 2026.

To apply, prepare a single PDF containing a CV with publications, a research statement, three representative publications, and three reference letters or referee contacts. Send enquiries to [email protected] and apply through the website link provided.

Funding details

Competitive salary in the market. Benefits are according to university policy. The university sponsors a working visa and residence permit in China.

What's required

A PhD obtained or soon to be obtained in Computer Science, Automation, Artificial Intelligence, Operations Research, Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, or a related field. Applicants should have solid research background and practical experience in reinforcement learning/deep reinforcement learning, fine-tuning and application of large language models, time-series prediction and modeling, intelligent decision-making and optimization algorithms, advanced process control and optimization, digital twin and modeling/simulation, predictive maintenance and fault diagnosis, or industrial IoT and edge computing. Strong programming skills in Python, PyTorch/TensorFlow, MATLAB, or C++ are required, along with excellent teamwork, problem-solving ability, and strong written and oral communication skills in Chinese and English. Experience with industrial field projects or familiarity with DCS/MES systems is preferred.

How to apply

Combine the required materials into a single PDF titled “Digital Twin and Control Systems Postdoc Application – Your Name”. Include a detailed CV with publications, a research statement, three representative publications, and three reference letters or referee contacts. Email HRBP at [email protected] for specific enquiries and apply via the website.

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