Location: SG
Company: National University of Singapore

Job Description

Introduction: The Loh Group in the departments of Physics and Biology at the National University of Singapore (NUS) has been developing statistical learning algorithms for high resolution dynamic imaging for electron and x-ray microscopies.

Responsibilities: Develop scalable, robust methods on GPGPU compute clusters for direct phase retrieval given incomplete and noisy information. The methods developed here will be tested on terabytes of raw data from high resolution imaging x-ray and/or electron interferograms. The results of this work are expected to be published in a reputable academic journal.

Work arrangement: Expected to mostly telecommute, with occasional in-person meetings on the NUS campus. One-year position, expected to start in early 2021.

Benefits: The salary is commensurate with that of a highly qualified research specialist, or an early-career machine learning engineer.

Qualifications

Qualifications / Discipline:

PhD in Physics (specialization in computational Physics)

Skills:

• Three or more years of programming experience on high-performance computing on GPGPU clusters.
• Extensive experience in Python, C++, CUDA, and very familiar with Linux shell environments.
• Strong background in the principles of diffractive optics (x-ray or electron microscopy).
• Strong background in statistical machine learning (e.g. Bayesian inference)

More Information

Location: Kent Ridge Campus
Organization: Science
Department: Biological Sciences