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

Overview

Opportunities at the University of Nottingham in Ningbo China

Location Ningbo

Salary 269,906 RMB to 379,782 RMB per annum, pro-rata for part-time/short-term contract

Closing Date Sunday 22 February 2026

Reference 184467

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.

• 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, clinical, and industry) to exchange ideas, explore opportunities for collaboration, and establish partnerships that strengthen research outcomes.

• Qualifications:
  
  PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline.
• Programming & Data
  
  Skills:
  
  Strong proficiency in Python (e.g., Num Py, Pandas, scikit-learn, PyTorch, Tensor Flow); additional experience with R, MATLAB, or Julia is an advantage.
• Machine Learning Expertise:
  Familiarity with supervised/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) and radiomics 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 healthcare, medical imaging, AI applications, or digital innovation will be an asset.

Join a unique British University in China. University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. Located in Ningbo, this award-winning campus offers a UK-style education and has grown to a student body of over 9,000 in 20 years.

Postdoctoral research station in Business Administration:
Established in Nov 2023, UNNC’s first postdoctoral research station. It aligns with national needs to promote talent cultivation and innovation, and supports UNNC’s strategic priorities.

About the Research Team:
Prof. Alain Chong is Vice Provost for Global Engagement and Partnerships and Chair Professor of Information Systems  conducts research on digital innovation and disruption with leadership roles in journals. Prof. Ying Weng is Course Director for Computer Science with Artificial Intelligence and Professor of Computer Science, with notable awards and editorial board memberships.

About the Project:
This project aims to advance neuro-oncology by building a multimodal brain tumor database integrating imaging, patient records, and digital pathology. Using explainable AI techniques, the system seeks to non-invasively determine tumor pathology from radiomic features, reducing the need for biopsies and enhancing…