Research Fellow (Artificial IntelligenceComputer ScienceData SciencePsychologyPublic HealthBiomedical Engineering)

Established as a partnership between Nanyang Technological University (NTU) and the National Healthcare Group (NHG) the Asian Centre for Health Behavioural Insights & Interventions (HABITS) aims to improve population health through multidisciplinary and translational research to support interventions policy and programmes; strengthen national capabilities through the integration of translational research into health intervention processes; and increase Singapores regional and international profile as a centre of excellence for health behavioural sciences.

We are looking for aResearch Fellow to work closely with the centres Directors to manage research projects and to secure research grants. The role will focus on project management research expertise managing and day-to-day research operations such as data storage budgets expenses assets and ethics approvals.

Key Responsibilities:

• Conduct independent and collaborative research applyingAI and machine learning techniquesto behavioural and population health data relevant to Singapores diverse communities.

• Develop predictive and explainable machine learning/deep learning/genAI models usingmultimodal cross-section and longitudinal data(e.g. surveys digital platforms wearables administrative or longitudinal datasets).

• Collaborate with NTU faculty clinicians government agencies and community partners to supporttranslation of research into practice and policy.

• Contribute to the preparation ofresearch grants(e.g. MOE MOH NRF A*STAR NMRC) and support project management and reporting requirements.

• Publish findings inhigh-impact international journalsand present at regional and global conferences.

• Support the design and evaluation ofAI-enabled behavioural health interventions dashboards or decision-support tools.

• Ensure compliance withIRB/ethics data governance and responsible AI principles including fairness explainability and privacy protection.

• Supervise and mentor undergraduate and postgraduate students where appropriate.

Job Requirements:

• PhD inArtificial Intelligence Computer Science Data Science Psychology Public Health Biomedical Engineering or related discipline. Evidence of productive history working in academic and healthcare/regulatory environments is desired.

• Evidence of strong foundations inmachine learning statistical modelling and data analytics.

• Demonstrable experience in handling and analysinghealth behavioural or social science datasets.

• Proficiency inPython and/or R and familiarity with open access AI/ML libraries.

• Track record (or strong potential) ofpeer-reviewed publications.

• Excellent communication skills and ability to work in interdisciplinary teams.

• Desired but not essential: Possesses international experience with a strong network of contacts in the region.

We regret to inform that only shortlisted candidates will be notified.