Research Fellow (CQM/BC)

Job Description

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator(s):

• Apply machine learning / reinforcement learning / bandit algorithms to design novel trials (e.g., micro-randomized trials) and/or analyse data from such trials, often involving mobile / wearable / other digital devices.
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in health data science.
• Write high-quality technical / methodological research papers, present research outcomes and develop connections with local and international researchers for collaborative work.
• Provide guidance and mentorship to junior researchers, graduate students with occasional educational / instructional activities.
• Perform other academic duties as required by the Principal Investigator(s).

Job Requirement

• PhD in statistics / biostatistics / computer science / data science or related areas with good mathematical knowledge and excellent research experience in machine learning / reinforcement learning / bandit algorithms.
• Proven track record of publications (as the first author) in reputable technical journals and/or top-tier machine learning conferences.
• Possess good programming skills in R and Python.
• Have interests in applying statistics and machine learning to solve real-world medical / behavioural problems.
• Able to conduct independent research as well as support team research activities.
• A strong team player with the ability to work harmoniously with a diverse workforce.

We regret that only shortlisted candidates will be notified.

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.