Position Title: Postdoctoral Research Fellow

Duties & Responsibilities: Centre for Quantitative Medicine in the Office of Clinical Sciences at Duke-NUS, invites applications for a post-doctoral fellowship focusing primarily on design and analysis of computer experiments. Brief description below. Scientists and engineers use simulations to study real systems for which physical experimentation is impossible, unethical, or too expensive. Usually, runs of these simulations demand considerable time and computing, making experimental design extremely important in gaining high quality information with limited time and resources. Principles of experimental design will be proposed and justified which ensure high numeric, nominal, and parameter estimation accuracy for both deterministic and stochastic simulations. Specific typical situations to be addressed include non-stationarity, effect sparsity, non-trivial functional ANOVAs, and simplified functional representations, as well as the worst case scenario where the unknown function is highly non-linear with no low-dimensional representation. This work will enable scientists and engineers to select combinations of simulation inputs with high information content. For deterministic simulations, this work is expected to identify strengths of some common designs, such as maxi-min Latin hypercubes, and identify weaknesses of other common designs, such as uniformly distributed random inputs. Further, this work has important implications for sequentially design strategies. For stochastic simulations, very little is known about the qualities of a good experimental design and this work will guide their development. This research scholar position provides full funding without any teaching requirements at a competitive salary for 2 years with a possible extension to 3 years.

Position Qualifications: A PhD in statistics, biostatistics, operations research, industrial engineering, computer science or related field is required. Criteria for selection include demonstrated ability in methological research and/or design and analysis of computer experiments. Verbal and written communication skills are also important. Women and members of under-represented minority groups are particularly encouraged to apply.

Salary Range: Competitive, commensurate with experience.

Benefits: Eligible to receive medical health benefits and housing subsidy.

Web Site: http://www.duke-nus.edu.sg; http://www.duke-nus.edu.sg/content/haaland-benjamin

Application Address: Applicants must email a letter of application, curriculum vitae, and contact information for three references to benjamin.haaland@duke-nus.edu.sg.

Contact Email: benjamin.haaland@duke-nus.edu.sg

Application Deadline: open until filled