Scientific Machine Learning Postdoctoral Research Associate

Description

Idaho National Laboratory is hiring a Scientific Machine Learning Postdoctoral Research Associate to work in our Computational Mechanics and Materials department. Our team works a 9x80 schedule located out of our Idaho Falls facility with every Friday off.

You will develop novel physics-based machine learning and uncertainty quantification methods while applying them to large-scale modeling and simulation problems through the MOOSE, BISON fuel performance, and Grizzly structural materials codes. This position requires domain expertise in SciML and/or uncertainty quantification and the ability to closely work with nuclear fuels, materials, and finite element modeling experts to demonstrate impacts. The position entails writing scientific manuscripts for peer-reviewed journal publication and presentation of research results at national and international conferences and meetings.

You should have a strong expertise in at least one area:

• SciML such as physics-based machine learning, operator learning, generative models (GANs, diffusion models) for scientific computing, GPU computing for SciML, etc.
• Uncertainty quantification such as Bayesian methods, Bayesian optimization, Gaussian processes, etc.

In addition, it is required that you have experience applying SciML and/or uncertainty quantification methods to finite element modeling and simulations. Experience coding in C++ and Python is strongly preferred. Expected to be a strong asset to our interdisciplinary R&D team and work effectively both alone and as a team member. Must be self-motivated but also take direction from other team members and peers.

Qualifications

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

• Demonstrating good judgement in the research and applications of SciML and uncertainty quantification.
• Applying SciML and uncertainty quantification methods to computational problems including but not limited to nuclear fuels and materials problems.
• Closely working with domain experts in nuclear fuels and materials and finite element methods to demonstrate the impact of SciML and uncertainty quantification.
• Demonstrating excellence in communicating results.
• Demonstrating skills in C++, Python, git, MacOS/Linux, and LaTeX.
• Producing peer-reviewed journal papers.
• Developing plans for new research areas and producing proposals.
• Initiating novel, innovative research and engineering projects that impact scientific problems, tackling complex technology issues facing the nation.

Job Information:

• Salary: $101,196 Annually

Benefits and Relocation

• Medical, Dental, Vision, and Flexible Spending Accounts
• Paid time off (personal leave)
• Employee Education Program (tuition assistance)
• Comprehensive Relocation Package
• Benefit eligibility subject multiple factors, including employment status and position classification.

INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy’s mission in nuclear energy research, science, and national defense. With more than 5,000 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation’s nuclear and renewable energy, national security, and environmental missions.

INL Mission Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

INL Vision Our vision is to change the world’s energy future and secure our nation’s critical infrastructure.

Selective Service Requirements To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.

Equal Employment Opportunity Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Reasonable Accommodation We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Other Information When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.

INL does not accept resumes from third party vendors unsolicited.