Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

This position is within the research group led by Professor Xiang Liming. We are looking for a research fellow to conduct advanced research in statistical methodology and applications in survival analysis. The role will focus on developing novel statistical methods for analysis of complex survival data arising from a variety of applied fields and collaborating with interdisciplinary teams.

Key Responsibilities:

The successful candidates will be expected to:

• Conduct research on developing novel statistical methods for analysis of complex survival data, including data subject to dependent censoring, interval censoring or competing risks, and/or with missing/censored features.

• Perform simulation studies and real data analysis 

• Collaborate with interdisciplinary teams for data analysis

• Disseminate research findings through publications and presentations

• Assist in supervision of final year projects for undergraduate students

Job Requirements:

• Candidates must have PhD in Statistics, Biostatistics or closely related fields

• Solid knowledge of various methods for survival analysis. Expertise in semiparametric modeling/inference and methods for analysis with missing data would be considered a plus.   

• Strong programming skills in R (or Matlab)

• Good written and oral communication skills

• Strong ability to work independently and as part of a team with strong initiatives.

• Publication record in the relevant areas

The School of Physical and Mathematical Sciences seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

Hiring Institution: NTU