Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.
Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.
Write, publish and disseminate results, including give research presentations at meetings.
Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers
Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.
Represent the research group at external meetings / seminars, either with other members of the group or alone.
Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.
Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.
Work with industry and government partners to understand their research needs and formulate solutions.
Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.
Help organise and actively participate in regular meetings and seminars within the group.
Assist in raising research funds through grant applications.
The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.
Job Requirements:
Essential Criteria
Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory.
For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience.
Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.
Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.
Ability to independently plan and manage a research project, including a research budget.
Possess strong collaboration abilities in person, on paper and over electronic channels.
Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.
Desirable Criteria
Experience of supervising staff.
Experience of managing a research budget.
Ability to raise research funds through making grant applications.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
Additional Information
Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world's top universities. NTU's College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.
A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU's College of Computing and Data Science is an 'exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.
The candidate will work in Prof Ong's Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.
Ntu · Ntu Main Campus, Singapore