Research Fellow (Computer Vision & Multimodal Deep Learning)

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Hyundai-NTU-A*STAR Corporate Lab is seeking a Research Fellow to explore computer vision and deep learning for multimodal object detection under challenging data constraints. The role emphasizes multimodal large language models and developing detection frameworks, with reporting of findings at conferences and mentoring postgraduate researchers.

The ideal candidate holds a PhD in Engineering or CS, and demonstrates strong R&D experience, analytical skills, and excellent communication.

Qualifications

• PhD in relevant engineering or CS field.
• Strong R&D experience in multimodal large language models.
• Independent, highly analytical, proactive and a team player.
• Excellent teamwork and verbal, written communication skills.
• Demonstrated ability to conduct innovative research.

Responsibilities

• Develop methodology/framework for multimodal large language models.
• Develop methodology/framework for multimodal object detection.
• Report findings in reports or international conferences/journals.
• Mentor Masters/FYP students.

Skills

Multimodal LLM research

Analytical thinking

Team player

Verbal and written communication

Education

PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent

Job description

Hyundai-NTU-A*STAR Corporate Lab offers an excellent R&D environment to create novel technologies with the world leading automotive company, Hyundai by translating the research into the dark factory directly with implementing and validating the research using AI, Robotics, 3D Printing and Digital Twins. We are looking for a research fellow to work on computer vision and deep learning techniques for the task of object detection under challenging scenarios. The role will focus on multimodal detection models, accurate and efficient detection models under various data constraints.

Key Responsibilities:

The candidate will research and develop a methodology/framework for multimodal large language models. The candidate will research and develop a methodology/framework for multimodal object detection. The candidate is required to report its research findings in the form of a report and/or present its research findings in international peer-reviewed conferences/journals. The candidate is to be involved in the mentoring of Masters/FYP students.

Job Requirements:

PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Good R&D experience in multimodal large language models Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant to the project domain. Demonstrated capability to conduct innovative research. The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry. Demonstrated ability to formulate hypothesis and design effective experimental plans. Ability to design and implement new experimental methods. High-level expertise in the required experiment or modelling methods. Ability to initiate collaboration research in multidisciplinary team. Oversee and report project progress.

Hiring Institution:

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, - Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes - the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering - and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world's top universities by QS, NTU has also been named the world's top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

For more information, visit www.ntu.edu.sg

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