Research Fellow: Computer Vision & Multimodal AI

Nanyang Technological University; Singapore; Presencial; SGD 70.000 - 120.000; Jornada completa

Descripción de la vacante

NTU Singapore’s MMLab@NTU at CCDS invites applications for a Research Fellow to work on a Tier 2 project in computer vision and multimodal learning. The role focuses on AI memory, vision-language models, and generative AI, with opportunities to publish and mentor students.

Requires a PhD in ECE, CS, AI or related field, strong publications, and experience with PyTorch. You will collaborate with a vibrant team at NTU, build datasets, evaluate robustness, and contribute to impactful research.

Formación

• PhD in Electrical and Computer Engineering, Computer Science, AI or a related field.
• Strong publications in leading computer vision or machine learning venues.
• Experience implementing and fine-tuning deep learning models.

Responsabilidades

• Conduct research in computer vision, vision-language models and generative AI.
• Develop methods for AI memory.
• Build datasets and evaluate robustness, generalisation and hallucinations in visual models.
• Publish research findings and prepare technical reports and reproducible implementations.
• Mentor students and collaborate with the research team to deliver project milestones.

Conocimientos

Computer vision

Deep learning

Vision-language models

AI memory

Experimental design

Scientific writing

Python/PyTorch

Educación

PhD in Electrical & Computer Engineering/Computer Science/AI

Herramientas

PyTorch

Descripción del empleo

NTU Singapore’s MMLab@NTU at CCDS invites applications for a Research Fellow to work on a Tier 2 project in computer vision and multimodal learning. The role focuses on AI memory, vision-language models, and generative AI, with opportunities to publish and mentor students.

Requires a PhD in ECE, CS, AI or related field, strong publications, and experience with PyTorch. You will collaborate with a vibrant team at NTU, build datasets, evaluate robustness, and contribute to impactful research.