Research Fellow

6 days ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time
About Us
The School of Physical and Mathematical Sciences (SPMS) at Nanyang Technological University, 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.
Our Research Focus
We are committed to advancing knowledge in physical and mathematical sciences through innovative research and rigorous education. Our researchers work on a wide range of topics, from theoretical foundations to practical applications.
Join Our Team
We invite talented individuals to join our community as scientific leaders and researchers. Collaborate with us to address complex challenges and push the boundaries of human knowledge.
About This Role
We are seeking 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:
Conduct research on developing novel statistical methods for analysis of complex survival data; 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:
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.
Why Work with Us?
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.

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