Research Scientist in Neuro-Symbolic AI and Computer Vision (CFAR), IHPC

JOB DESCRIPTION The successful candidate will be responsible for conducting research and development of innovative algorithms in Neuro-Symbolic AI and Computer Vision, leveraging state-of-the-art machine learning technologies. Job Requirements: PhD in Computer Science, Computer Engineering, Electronic Engineering, or a closely related field. Candidates with no experience may apply. Strong programming proficiency in Python and PyTorch. Familiarity with Vision—Language Models (VLMs), Large Language Models (LLMs), and their associated APIs. Excellent interpersonal, presentation, and communication skills. A demonstrated research track record with publications in leading conferences such as ICCV, CVPR, ECCV, WACV, NeurIPS, ICML, and ICLR. A strong background in Situation Recognition, Visual Reasoning, Neuro-Symbolic AI, and Computer Vision. Candidates who can start immediately are preferred. The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.