National Energy Technology Laboratory (NETL) – AI/Advanced Data Analytics for Energy Infrastructure Sensing

National Energy Technology Laboratory (NETL) – AI/Advanced Data Analytics for Energy Infrastructure Sensing

Pittsburgh, PA

Apply by 6/1/19

Through the Oak Ridge Institute for Science and Education (ORISE), this posting seeks a postdoctoral or post-master’s researcher to participate in the research and development of advanced data analytics methods applied to energy infrastructure sensing applications, with an emphasis on natural gas infrastructure. An emphasis will be placed on artificial intelligence and related methods for predictive monitoring of incipient failures within the natural gas infrastructure by leveraging distributed optical fiber sensing. The candidate will also have opportunities to engage in data analytics for wireless sensor technology platforms and other energy infrastructure, including subsurface monitoring.

The successful candidate will have a strong background in these elements (but not necessarily all):

·        An advanced degree in statistical methods, mathematics, data science, computer science, electrical engineering, applied physics, or a related field

·        Experience with development and application of advanced data analytics methods (e.g. artificial intelligence, principal component analysis, neural networks, machine learning, big data analytics) using custom developed algorithms or commercially available software packages.

·        Familiar with multivariate analysis techniques for extracting information related to multiple parameters simultaneously from advanced sensing platforms.

·        Experience with high performance computing environments, tools, and applications.

Program information: Detailed information about the program can be found at http://www.orau.gov/netl/. Please send a CV to Paul Ohodnicki at paul.ohodnicki@netl.doe.gov and Jennifer Bauer at jennifer.bauer@netl.doe.gov.

How to apply: Information in regard to the opportunity and a link to the application can be found at https://www.zintellect.com/Opportunity/Details/NETL-2019-PGRP-Ohodnicki-1.