Research Fellow: Vision, Multimodal AI & Generative Models

Nanyang Technological University, Singapore (NTU Singapore); Singapore; Presencial; SGD 60.000 - 100.000; Jornada completa

Descripción de la vacante

Nanyang Technological University, Singapore (NTU Singapore) invites applications for a Research Fellow in MMLab@NTU at CCDS to advance computer vision and multimodal learning. The role focuses on high-impact research, contributes to a Tier 2 project, and involves developing state-of-the-art methods, datasets, and reproducible code.

The ideal candidate holds a PhD in a relevant field, with strong publications, experience in generative AI and memory for AI systems, and proficiency with PyTorch.

Formación

• PhD in a relevant field from a recognised institution.
• Strong background in computer vision, DL and vision-language models.
• Proven research track record and publications.
• Experience implementing and fine-tuning deep learning models (PyTorch).
• Excellent experimental, analytical and scientific writing skills.

Responsabilidades

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

Conocimientos

Deep learning

Computer vision

Vision-language models

PyTorch

Research mentorship

Educación

PhD in Electrical and Computer Engineering

PhD in Computer Science

PhD in AI or related field

Herramientas

PyTorch

DL frameworks

Descripción del empleo

Nanyang Technological University, Singapore (NTU Singapore) invites applications for a Research Fellow in MMLab@NTU at CCDS to advance computer vision and multimodal learning. The role focuses on high-impact research, contributes to a Tier 2 project, and involves developing state-of-the-art methods, datasets, and reproducible code.

The ideal candidate holds a PhD in a relevant field, with strong publications, experience in generative AI and memory for AI systems, and proficiency with PyTorch.