139 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" Fellowship positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- National University of Singapore
- Singapore Institute of Technology
- THE UNIVERSITY OF HONG KONG
- LINGNAN UNIVERSITY
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nanyang Technological University
- Singapore University of Technology & Design
- The Ohio State University
- Nanyang Technological University (NTU)
- Nanyang Technological University L J Wong Group
- University of North Carolina at Charlotte
- 1 more »
- « less
-
Field
-
Job Description Apply Now Research Engineer/ Fellow (Applied AI research in computer vision, vision-language models) (XBJ) Posting Start Date: 27/02/2026 Schemes of Service: Research Division
-
Job Description Apply Now Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo) Posting Start Date: 25/06/2026 Schemes of Service: Research Division: Professional Officers Employment
-
Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo) Employer SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Location Singapore Closing date 9 Oct 2026 View more categories View less categories
-
to ensure project deliverables are met. Any other ad-hoc duties as assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language
-
Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep
-
Category: Research Staff ▲ Collapse Location_ONB: Kent Ridge Campus Posting Start Date: 15/05/2026 Job Description We are the NUS Avant Lab, led by Prof. Jingxian Wang ( https://wangwireless.com
-
degree in relevant fields include Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics
-
https://sites.google.com/view/kejintao . Requirements Candidates should possess a Ph.D. degree in Transportation Engineering, Civil Engineering, Computer Science, Data Science, Operations Research
-
(Computer Science, theory, empirical, or Science). Excellent academic record required Solid programming foundation, familiar with mainstream deep learning frameworks such as PyTorch. ACM/ICPC or NOI/IOI
-
expertise in computer science, biostatistics, statistics, bioinformatics, computational biology, or other AI-related disciplines. The successful candidate will join a dynamic, interdisciplinary team