Postdoctoral Research Fellow (Principal Investigator: Prof Alain Chong and Prof Ying Weng)

University of Nottingham Ningbo China

Business School

Prof. Alain Chong and Prof. Ying Weng are seeking an outstanding Postdoctoral Research Fellow to join the newly established Postdoctoral Research Station in Business Administration at the University of Nottingham Ningbo China, contributing to the development of the university’s research agenda.

Your Responsibility

Your key responsibilities include:

Design and Develop Research: Formulate clear research objectives and contribute to the development of proposals for individual and collaborative projects, applying established and emerging methodologies to advance the research agenda.
Conduct and Analyze Research: Collect, manage, and rigorously analyze complex datasets; interpret results; critically evaluate existing literature; and generate original insights that align with project goals.
Disseminate Findings: Prepare high-quality manuscripts for submission to leading journals, present research at national and international conferences, and contribute to the visibility and impact of the research team.
Secure Funding: Identify opportunities and contribute to the preparation of competitive grant applications to national and international funding bodies.
Build Networks and Collaborations: Engage with internal colleagues and external partners (academic and industry) to exchange ideas, explore opportunities for collaboration, and establish partnerships that strengthen research outcomes.

About You

Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline.
Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage.
Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred.
Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply predictive modeling and validation techniques.
Research & Publication: Skilled at critically reviewing literature, designing rigorous studies, and producing publications for high-impact journals.
Collaboration & Communication: Excellent oral and written English communication skills, with the ability to present technical findings clearly. Knowledge of Chinese is a plus. Ability to work both independently and within multidisciplinary teams.
Practical Experience: Prior hands-on research in AI applications / digital innovations in water ecological environment will be an asset.

About the Project

This project focuses on research in Explainable Artificial Intelligence and Causal Machine Learning, applied to the intelligent monitoring and early warning of key water ecological environment indices, including prediction and management tasks. ... Candidates are expected to submit a research proposal that builds on this project summary.

Your Remuneration, Benefits and Support

You will be offered a fixed term contract with University of Nottingham Ningbo China for 2 years. You will be offered a minimum annual salary package of RMB269,906 with competitive benefits package. Postdoctoral Research Fellow is also able to apply RMB50,000 research funding after they start their research.

How to Apply

Applicants wishing to apply for a vacancy should submit the following documents by email by the application link before 23:59 (Beijing Time) on 16 July 2026.

Applications should include but are not limited to the following:

A cover letter
An up-to-update CV includes academic and research achievement list
A Research proposal (Please refer to the attached project summary)

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Postdoctoral Research Fellow (Principal Investigator: Prof Alain Chong and Prof Ying Weng)

The University of Nottingham Ningbo China

199 Tai Kang Dong Lu, Yin Zhou Qu, Ning Bo Shi, Zhe Jiang Sheng, China, 315104

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