RAVEN Postdoctoral Research Associate-(12442)

　　DESCRIPTION

　　Job Information

　　Job Title: RAVEN Postdoctoral Research Associate

　　Org: Nuclear Engineering Methods Development

　　Contact: Jessica.Dixon@inl.gov

　　Work Location: Idaho Falls, ID (Town - Work Schedule 9X80's)

　　Mission/Vision Statement

　　Empowering the Nation's Energy Future

　　Mission: Discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

　　Vision: INL will change the world's energy future and secure our critical infrastructure.

　　Idaho National Laboratory (INL) is seeking a candidate for a postdoctoral position for the development of tools, algorithms and methods for data analysis, uncertainty quantification and risk analysis of complex systems. In this position, you will be part of the RAVEN core team (https://github.com/idaholab/raven). You will have the opportunity to apply and develop the most advanced techniques in uncertainty quantification, validation, risk analysis, and artificial intelligence to problem of interest to nuclear engineering like experimental design, reactor design, safety assessment, and economic performance of nuclear power plants. New advanced methodologies will be needed to be designed for the deployment on large computing clusters in an efficient and highly-scalable way.

　　QUALIFICATIONS

　　Required Qualifications:

　　PhD requirements must be completed by commencement of appointment and within the previous 5 years

　　PhD in Nuclear Science/Engineering, Mathematics, or Related Engineering Field

　　Demonstrated oral and published written communication skills (in English)

　　A good understanding of two fields among the following: nuclear reactor related thermohydraulic, safety, and system, reactor physics, and fuel performance

　　A good understanding of object-oriented programming (preferably python)

　　A proven capability to develop effective and scalable algorithms to solve challenging numerical problems

　　Desired Qualifications:

　　Knowledge with artificial intelligence (supervised learning, unsupervised learning)

　　Knowledge with risk analysis

　　Knowledge of reduced order modeling techniques

　　Knowledge of software management platform (e.g. svn, git etc)

　　Knowledge of software development methodologies (e.g. Agile, etc.) and basic of NQ1 procedures

　　Experience in working on the development of a large software platform

　　Selective Service Requirements

　　To be eligible for employment at INL males between ages 18 and 25 must register (or must have registered) with the Selective Service System (SSS). This includes U.S. born and naturalized citizens, parolees, undocumented immigrants, legal permanent residents, asylum seekers, refugees, and all males with visas of any kind which expired more than 30 days ago. The few individuals who are exempt from this requirement are those on current non-immigrant visas. For more information see www.sss.gov.

　　Employee Job Functions

　　Employee Job Functions are physical actions and/or working conditions associated with the position. These functions may also constitute essential functions for the job position which the employee must be able to fulfill, with or without accommodation. Information provided below is to help describe the job so that the applicant has a reasonable understanding of the job duties/expectations. An applicant's ability to perform and/or tolerate these actions and conditions will be discussed and workplace accommodations may be made on a case-by-case basis following an individualized assessment of the applicant and other considerations, including but not limited to any governing safety standards.

　　Motor Abilities: Repetitive Work.

　　Special Senses: Visually demanding work; Depth perception; Basic color discrimination.

　　Work Conditions: >8 Hrs/day.

　　Please Apply Before: October 6, 2018 (MST)

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