Project Officer (Machine Learning/Probabilistic Programming/AI Safety) at Nanyang Technological University Singapore
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Probabilistic Programming, AI Safety, Bayesian Statistics, Generative AI, Programming Languages, Statistical Machine Learning, Deep Learning, Large Language Models, Mathematical Models, Software Tools, Project Management, Research, Scientific Techniques, Logic And Algorithms, Formal Methods

Industry

Education Administration Programs

Description
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. Key Responsibilities: 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. Job Requirements: Candidates must have a Bachelor's degree 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. 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. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. 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. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive
Responsibilities
The Project Officer will manage academic research and administrative tasks, including small-scale project management to meet deadlines and carrying out original research by developing models and building software tools. Responsibilities also involve writing, publishing, and presenting research results, contributing to new project ideas, and assisting the Principal Investigator (PI) with coordination and mentoring.
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