Research Fellow (Computer Vision & Multimodal Deep Learning)
Ntu
At a glance
- Location
- NTU Main Campus, Singapore
- Work type
- Onsite
- Category
- Data
Research Fellow focused on computer vision and multimodal deep learning for object detection under challenging scenarios, with emphasis on multimodal models and reporting research findings at conferences/journals. Mentorship of Masters/FYP students and collaboration with Hyundai-NTU-A*STAR Corporate Lab in Singapore.
What they are looking for
Location: NTU Main Campus, Singapore
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