University of Nottingham Ningbo China (UNNC)
2 weeks ago
Postdoctoral Research Fellow in Explainable AI, Causal Machine Learning, and Data Science University of Nottingham Ningbo China in China
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral Research Fellow position for 2 years with a minimum annual package of RMB 272,606. RMB 50,000 research funding is available after joining.
Deadline
Sep 30, 2026
Country
China
University
University of Nottingham Ningbo China (UNNC)

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About this position
University of Nottingham Ningbo China is inviting applications for a Postdoctoral Research Fellow position in Explainable Artificial Intelligence (XAI), Causal Machine Learning, Data Science, and Digital Innovation. The project is supervised by Prof. Alain Chong and Prof. Ying Weng and focuses on intelligent monitoring and early warning of water ecological and environmental indicators.
This is a strong fit for early-career researchers with a PhD in Business Administration, Computer Science, Information Systems, Data Science, or a related area. The post highlights skills in Python, Machine Learning, Deep Learning, Causal ML, and Explainable AI, plus experience with quantitative research, predictive modelling, and complex datasets.
The position is based in Ningbo, China and runs for 2 years. The package includes a minimum annual salary of RMB 272,606 and RMB 50,000 research funding after joining. The application deadline is 30 September 2026.
Applicants should prepare a cover letter, updated academic CV, academic and research achievement list, and a research proposal aligned with the project summary. Use the application portal linked in the post to submit your materials.
Funding details
Postdoctoral Research Fellow position for 2 years with a minimum annual package of RMB 272,606. RMB 50,000 research funding is available after joining.
What's required
Applicants should have a PhD obtained within the last 3 years in Business Administration, Computer Science, Information Systems, Data Science, or a related field. Strong skills in Python, machine learning, deep learning, causal machine learning, and explainable AI are required. Experience with quantitative research, predictive modelling, and complex datasets is expected, along with a strong research and publication profile.
How to apply
Prepare a cover letter, updated academic CV, academic and research achievement list, and a research proposal based on the project summary. Submit the application through the application portal linked in the post.
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