Research Fellow

1 week ago

Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

**Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore**

Join Assistant Professor Jeremie Houssineau (SPMS) and Professor Yew Soon Ong (CCDS) as a Research Fellow to contribute to a project focused on modelling and quantifying uncertainty for foundation models. You will be part of a larger project focused on developing theoretical foundations for deep foundation models, in collaboration with Professor Taiji Suzuki from the University of Tokyo and Associate Professor Atsushi Nitanda from A*STAR.

**Key Responsibilities**:

- Research & Development
- Conduct original research in deep learning, related to uncertainty quantification for large models.
- Explore cutting-edge advancements in AI and relate it to the main research objective.
- Experimentation & Implementation
- Develop and implement the related algorithms, models, and techniques.
- Perform rigorous benchmarking and evaluation of the developed models.
- Optimize algorithms for efficiency, scalability, and robustness.
- Collaboration & Mentorship
- Work closely with the PI and the project team.
- Collaborate with PhD students, undergraduate researchers, and other postdocs.
- Provide mentorship and guidance to junior researchers.
- Writing & Publications
- Prepare and submit research papers to peer-reviewed conferences and journals.
- Write technical reports and research documentation.
- Present research findings at conferences.

**Job Requirements**:

- Educational Qualifications
- Ph.D. in Statistics, Computer Science, Applied Mathematics, or a related field.
- Strong research background in Statistics and Machine Learning.
- Proven ability to conduct independent research with a strong publication record.
- Technical Competencies
- Mathematical & Statistical Foundations: Strong understanding of statistics, probability, optimization, and linear algebra.
- Machine Learning: Deep learning, probabilistic modeling, generative models, etc.
- Programming & Software Development: Proficiency in Python, PyTorch, JAX, or other ML frameworks
- Computing: Experience with large-scale datasets, parallel computing, and GPUs/TPUs.
- Research & Analytical Skills
- Ability to design and execute experiments for evaluating ML models.
- Experience in writing and reviewing academic papers.
- Critical thinking and problem-solving abilities.
- Soft Skills
- Communication: Ability to present research findings effectively through writing and presentations.
- Collaboration: Experience working in interdisciplinary teams with researchers from diverse backgrounds.
- Project Management: Ability to manage research projects, meet deadlines, and mentor junior researchers.
- Adaptability & Innovation: Willingness to explore new methodologies.

Hiring Institution: NTU

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