Research Associate (Large Multimodal Models)

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading university in Singapore is looking for a Research Associate to contribute to cutting-edge research in AI, specifically in machine learning and computer vision. The successful candidate will work on projects related to generative design and will have the opportunity to publish in top-tier conferences. Candidates should have a Master’s in Computer Science and strong communication skills, along with experience in research. This position offers a full-time contract with potential for renewal based on performance.

Qualifications

• Master’s degree in Computer Science or a related discipline.
• Solid foundation in Machine Learning and Computer Vision.
• Strong publication records in top-tier machine learning conferences.

Responsibilities

• Independently undertake research in machine learning.
• Publish high-quality research papers.
• Provide guidance and support to students associated with the project.

Skills

Machine Learning

Computer Vision

Communication Skills

Research Experience

Education

Master’s degree in Computer Science or related discipline

Tools

PyTorch

Job description

Research Associate (Large Multimodal Models) page is loaded

Research Associate (Large Multimodal Models)

Apply locations NTU Main Campus, Singapore time type Full time posted on Posted Yesterday job requisition id R00021573

S-Lab for Advanced Intelligence, established in 2020, is a university laboratory at NTU focusing on research and development of cutting-edge AI technologies in computer vision, natural language processing, reinforcement learning, deep learning, and distributed computing. We aim to create impactful applications spanning various strategic areas in partnership with academic, industry, and government organizations.

We are seeking Research Associate to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• To independently undertake research in machine learning.

• To publish high-quality research papers as required by the funding body or for dissemination to the wider academic community.

• To provide guidance and support to any students associated with the project.

• To attend, contribute, and where necessary lead relevant meetings.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Master’s degree in Computer Science, or a related discipline;

• Have a solid foundation in Machine Learning and Computer Vision.

• Strong publication records in top-tier machine learning conferences/journals, such as NeurIPS, CVPR, ECCV, ICLR, ICML, AAAI, etc;

• Knowledge of scientific or engineering software like PyTorch etc.;

• Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn.

Additional criteria:

• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).

• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.

• Willingness to work flexible hours, including occasional weekends or irregular hours, depending on the demands of research experiments or project deadlines.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

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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.