26 deep-learning Fellowship positions at National University of Singapore

Research Fellow, School of Computing

Mathematics, Algorithms and Social Media Analytics Excellent knowledge in deep learning frameworks, e.g., PyTorch, Tensorflow, Nengo Good written and verbal communication skills in English Familiarity with non

Research Fellow (Photodetectors)

photogating effect and low-dimensional material photodetectors. 2. Theoretical Knowledge: Deep knowledge of semiconductor physics, physical optics, semiconductor device physics, optics and optoelectronics, and

Research Fellow, School of Computing

. Qualifications The candidate should possess a PhD degree in computer science or a related discipline, and a strong publication record in natural language processing, deep learning, or related areas. Strong

Research Fellow, School of Computing

. Qualifications The candidate should possess a PhD degree in computer science or a related discipline, and a strong publication record in natural language processing, deep learning, or related areas. Strong

Research Fellow (IDS-Cisco)

, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches. Experience with deep learning-based information retrieval, and/or deep generative natural

Research Fellow ( Rainfall Nowcasting)

forecasts of extreme rainfall, particularly related to convection, in urban environments. •    Development of deep generative machine learning models to improve radar-based rainfall nowcasting in Singapore

Research Fellow (Centre for Trusted Internet & Community)

junior researchers in the team. Qualifications A PhD degree in Computer Science or related field. Evidence of good research in computer vision and deep learning. A good publication record. Mentoring

Research Fellow (Interpretable Graph Neural Networks)

).  The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects.  The candidate will join the research team in the areas of Deep Learning and Interpretable Graph

Research Fellow (Interpretable Graph Neural Networks)

).  The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects.  The candidate will join the research team in the areas of Deep Learning and Interpretable Graph

Research Fellow, School of Computing

. Qualifications The candidate should possess a PhD degree in computer science or a related discipline, and a strong publication record in natural language processing, deep learning, or related areas. Strong