Multimodal Computer Vision & Deep Learning Fellow

Nanyang Technological University, Singapore (NTU Singapore); Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

NTU Singapore invites a Research Fellow to advance multimodal computer vision and deep learning for robust object detection under diverse data constraints. The role emphasizes multimodal LLM and detection methodologies, report writing, and presenting at international venues.

You will mentor Masters/FYP students and contribute to cross-disciplinary research with the Hyundai-NTU-A*STAR Corporate Lab. A PhD and strong research background are required.

Qualifications

• PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Demonstrated capability to conduct innovative research.
• Independent, analytical and proactive with teamwork.
• Excellent written and verbal communication skills.
• Ability to adapt ideas and design experiments.

Responsibilities

• Research and develop multimodal LLM methodologies/frameworks.
• Research and develop multimodal object detection methodologies/frameworks.
• Report findings in reports and international conferences/journals.
• Mentor Masters/FYP students and oversee project progress.

Skills

Multimodal research

Research planning

Collaboration

Teamwork

Communication skills

Innovative research

Hypothesis design

Experimental methods

Progress reporting

Education

PhD in CS/EE or equivalent

Job description

NTU Singapore invites a Research Fellow to advance multimodal computer vision and deep learning for robust object detection under diverse data constraints. The role emphasizes multimodal LLM and detection methodologies, report writing, and presenting at international venues.

You will mentor Masters/FYP students and contribute to cross-disciplinary research with the Hyundai-NTU-A*STAR Corporate Lab. A PhD and strong research background are required.