The Research Assistant Professorship (RAP) scheme aims to attract early career researchers focusing on research in particularly competitive areas. The RAP recipients must be sought after and of the highest rank. They are expected to bring special skills and expertise to NTU.
- RAP scheme targets Research Fellows within 4 years of obtaining PhD. or equivalent degree in competitive research areas
- RAP recipients must sought after and of the highest rank.
- Staff hired as Non-Faculty and Grant-Based RAPs are under the Research Staff scheme.
- The recipient’s formal position is as a Research Fellow/Senior Research Fellow within the NTU Research Staff Scheme with a fixed term of 1-3 years contingent upon the availability of external competitive research grants from mentor. Direct top-up from Schools, Colleges or University budgets are not allowed.
- During their appointment period, the recipient may use the title Research Assistant Professor.
- RAP recipient does not provide a direct pathway to an academic position at NTU.
- Salary range will be based on the market rate.
- Application is by nomination by potential mentor only.
- Candidates interested to apply for the RAP scheme are required to contact their potential mentor (i.e. NTU Faculty) and work with the potential mentor in preparing their application package.
- Required documents for submission includes indication of interest from potential mentor, CV and research proposal of the RAP candidates.
Queries can be directed at firstname.lastname@example.org
Feng KaiyuProject Title: Deep Learning for Big Spatial Data Management
Kaiyu Feng is currently a Research Assistant Professor in the School of Computer Science and Engineering (SCSE) at the Nanyang Technological University (NTU), Singapore. He obtained his PhD degree in computer science from NTU in 2018, under the supervision of Professor Cong Gao. His research interests include spatial database management and graph database. He is particularly interested in querying geo-taged data stream, spatial data visualization, efficient processing of spatial queries and graph and social data analysis. He has published papers in premium venues in these areas such as SIGMOD, VLDB, ICDE, WWW, and the IEEE Transactions on Knowledge and Data Engineering.
Ng Wei Long
Ng Wei Long is a Research Assistant Professor at HP-NTU Digital Manufacturing Corporate Lab, and his current research focuses on the bioprinting of 3D human-based tissue models. Wei Long was awarded the A*STAR Graduate Scholarship (AGS) in year 2013 to pursue his Ph.D. on skin bioprinting under the supervision of Dr May Win Naing (SIMTech, A*STAR) and Assistant Professor Yeong Wai Yee (School of Mechanical and Aerospace Engineering (MAE), NTU). As a Ph.D. candidate, his key research is on developing of novel bio-inks and engineering functional microenvironment for 3D bioprinted in-vitro human tissue models. After his Ph.D., he worked as a Research Fellow under the supervision of Professor Chua Chee Kai at the Singapore Centre of 3D Printing (SC3DP) and then subsequently under the supervision of Associate Professor Yeong Wai Yee at HP-NTU Digital Manufacturing Corporate Lab. In August 2020, Wei Long took on his new appointment as a Research Assistant Professor to continue his research on 3D bioprinting of human-based tissue models.
Cao Yi Xin
Cao Yixin was a research fellow with NExT++, National University of Singapore (NUS). He received his Ph.D. in Computer Science from Tsinghua University in 2018. His research interests span natural language processing, knowledge graph and recommendation. Various part of his works has been published in top conferences, such as ACL, EMNLP, COLING and WWW. Cao Yi Xin has also served as PC member for several conferences including ACL, EMNLP, NAACL, AAAI, IJCAI, and NeurIPs, and as reviewers for journals including TKDE, TKDD, TASLP and IEEE Access.
Dai Bo was a research fellow (2018-2020) in MMLab@CUHK. His research interests include computer vision and machine learning. Recently, his research focus is on generative models, video analysis, and cross-modality analysis. He received his PhD (2014-2018) from CUHK. He obtained his BEng (2010-2014) from ACM class of SJTU. Previously, he had an internship at Microsoft Research Asia. He also visited University of Toronto in 2017.
Phyllis Liang is a Research Assistant Professor and principal investigator at the Rehabilitation Research Institute of Singapore, Nanyang Technological University. She is a senior occupational therapist and specialises in neurological rehabilitation. She completed her PhD at The University of Queensland, Australia. Phyllis is an experienced clinician and have worked in various healthcare contexts and settings across Singapore and Australia. She uses both qualitative and quantitative approaches. She is an editorial board member of Hong Kong Journal of Occupational Therapy and a research mentor in the Singapore Association of Occupational Therapy.
Yuekang Li is currently a Research Assistant Professor in Continental-NTU Corporate Lab, Singapore. Prior to that, he received his B.Eng degree and Ph.D from Nanyang Technological University in 2016 and 2020. His research interests include program analysis, software testing and software security. He has publications in top-tier software engineering and security conferences such as FSE, ICSE, CCS and USENIX etc.