The Hong Kong Polytechnic University Dr. Lin Wanyu's laboratory recruits full-time doctoral students/postdoctoral fellows

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Faculty Profile

Dr LIN Wanyu (林晓瑜DR.) is currently an Assistant Professor in the Department of Computing, The Hong Kong Polytechnic University. She received her Ph.D. from the University of Toronto, Canada in 2020. Her main research directions include trusted artificial intelligence, graph neural network and its application in materials science. Her related research work has been published in top international conferences and journals in the field of artificial intelligence, including ICML, CVPR, SIGMOD, AAAI, TNNLS , TIFS, etc., and was shortlisted for the best paper of CVPR2022 -- CVPR Best Paper Finalist (33/8161=0.4%). She is currently the associate editor of IEEE Transactions on Neural Networks and Learning Systems, a top journal in the field of neural networks and artificial intelligence.

Homepage:

https://wanyu-lin.github.io

Main research direction

Trustworthy Artificial Intelligence: Interpretability, Privacy Protection, Fairness, Security, Robustness, etc. of Neural Networks

Machine Learning: Graph Neural Networks and Applications, including Applications of Materials Science (AI for Material Science)

Admissions Profile

It is planned to recruit 3-4 full-scholar doctoral students (entry in spring and autumn of 2024). In addition, the research team has been recruiting postdoctoral fellows and jointly training doctors for a long time. Please contact us for more recruitment information.

admission requirements

1. Bachelor and master graduates in computer, mathematics, statistics, electronics, automation and other related majors;

2. Have enthusiasm for scientific research, be proactive, have self-drive, and have perseverance in doing things;

3. Have a solid programming ability and mathematical foundation;

4. Strong English reading, writing and communication skills;

5. Those who have published papers or competition winners in related fields such as machine learning and data mining are preferred.

Ph.D Scholarship Introduction

https://www.polyu.edu.hk/gs/prospective-students/fellowship-scholarship-schemes/

For details, please visit the school admissions homepage:

https://www.polyu.edu.hk/comp/study/research-postgraduate-programme/phd-and-mphil-in-computing/

Application materials and contact information

Interested students please send your resume and application materials (school transcripts, GRE/TOEFL/IELTS score certificates, published papers, award certificates, etc.) to the email address: [email protected] . In order not to miss your emails, please edit the email subject according to the following format: PhD/Postdoc Application-Your Name.

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