Data Science Research Fellow (Heat Resilience & Performance Centre)

National University of Singapore

  • Singapore
  • Permanent
  • Full-time
  • 13 days ago
  • Apply easily
Job DescriptionThe National University of Singapore (NUS) invites applications for the role of Research Fellow with the Heat Resilience & Performance Centre (HRPC), Yong Loo Lin School of Medicine. The HRPC is a first-of-its-kind research centre, established at the NUS, to spearhead and conduct research and development to better enable the future challenges arising from rising ambient heat. Appointments will be made on a two-year contract basis, with the possibility of extension.We are seeking a Research Fellow who will play a key role in driving the development, execution and analysis of research that leverage on technology and data science to address the challenges of training and operating in rising ambient temperatures. This role is part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers, built environment experts and researchers that will be focused on developing heat health prediction and thermos-physiological models.Main Duties and ResponsibilitiesThe main areas of responsibilities of the role will include:
  • Working closely with research PIs to develop research strategies and ensure the successful and timely completion of the project(s)
  • Designing research protocols and data analysis approaches based on the research agenda, drawing upon previous literature, research best practices, methods and modelling techniques (qualitative and quantitative)
  • Leading and training the research team(s)
  • Project management and execution of required data collection and research plans
  • Establishing and the management of large databases
  • Interpretating and analysis of data, utilising an array of methods and modelling techniques
  • Generating reports and presentation of data to relevant stakeholders
  • Generating conference presentations and papers for submission to peer reviewed journals
  • Collaborating across teams, contributing to multiple research projects at once
  • Communicating with stakeholders to understand business challenges and potential solutions
Qualifications
  • Doctorate degree in a quantitative discipline (eg. statistics, mathematics, data science, computer science, computational biology, engineering.)
  • Experience and interest in prediction modelling
  • Proficient in statistical software and programming languages and familiarity with relevant libraries.
  • Keen interest in heat health and human performance
  • Proficient in qualitative research
  • Proficient in data analysis tools in quantitative research
  • Strong background with extensive experience leading research projects would be an advantage
  • Proven knowledge of data collection methods
  • Excellent written and verbal communication skills
  • Good track record of international publications in human research
  • Proficient in project management
  • Resourceful and self-driven
  • Adaptable and able to multitask well with clear follow-through
  • High levels of attention to detail and quality
  • Willingness to travel off-site and work beyond routine work hours based on the requirements of the research
  • Demonstrated ability to work independently and thrive in a fast-paced environment
  • Commitment to the ongoing development of a positive organizational culture
  • Willingness to contribute to a learning environment
ApplicationThe role is based in Singapore.Prospective candidates can contact Ms Lydia Law at lydialaw@nus.edu.sg.Remuneration will be commensurate with the candidate's qualifications and experience.Only shortlisted candidates will be notified.More InformationLocation: Kent Ridge CampusOrganization: Yong Loo Lin School of MedicineDepartment : Dean's Office (Medicine)Employee Referral Eligible: NoJob requisition ID : 17227

National University of Singapore