Research Fellow (Computer Vision & Multimodal Deep Learning)

Nanyang Technological University, Singapore (NTU Singapore); Singapore; Vor Ort; SGD 120.000 - 160.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Multimodal research

Research planning

Collaboration

Teamwork

Communication skills

Innovative research

Hypothesis design

Experimental methods

Progress reporting

Ausbildung

PhD in CS/EE or equivalent

Jobbeschreibung

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.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU