SOSCIP and SciNet are looking for a scientific applications analyst. Under general direction of the CTO, this individual will provide senior IT services and training in GPU programming, data science applications, and scientific computing workflows for the SciNet and SOSCIP advanced computing consortia which serve researchers at the University of Toronto and partner institutions, including industry researchers, faculty, postdoctoral fellows and graduate students in all disciplines and fields (e.g. science and engineering, medicine, finance, languages, etc.). The incumbent is involved in GPU-accelerated computing for data analytics and machine learning on large data sets (100TB and up). S/he works with researchers and research teams to plan, develop, install and optimize the SOSCIP GPU-Accelerated cluster for various research programs and provides technical consultation to researchers on their system needs for research operations. S/he also takes part in delivering and developing training and education on GPU applications.

For more details see the Posting on the job site of the University of Toronto.

This posting closes on December 14th, 2019.