The Scientific Computing and Imaging (SCI) Institute at the University of Utah invites applications for one post-doctoral researcher for interdisciplinary work spanning applied mathematics and computer science. The successful candidate will perform research in the design, optimization, analysis, and application of Physics-Informed Machine Learners (PIMLs), and will work closely with SCI Institute researchers and external collaborators to integrate research into SCI Institute software applications and apply this software to compelling problems in science and engineering. Previous postdocs who have held this position benefited from its interdisciplinary nature: placing individuals with strong applied mathematics and computing skills at the interface of realistic and compelling engineering problems spanning computational mechanics and material science.

This position has three main responsibilities:
1) Design, optimization, analysis, and application of Physics-Informed Machine Learners (PIMLs). Focus areas: Metalearning (combined with Deep Learning, Reinforcement Learning, Bayesian Learning, Large-Scale Learning, Transfer Learning, etc.), Multiscale/Multifidelity learners.
2) Implementation and evaluation of these methodologies within collaborative codes bases.
3) Scientific interaction between Utah and other PILM Partners (at Brown, Caltech and Stanford)

Qualifications
The SCI Institute is seeking a highly talented and committed individual with a demonstrated ability to work well with minimal supervision in a multi-disciplinary research environment. Backgrounds in the computer science, data science, applied mathematics, physics and computational sciences will be considered. Individuals comfortable with uncertainty quantification (sensitivity analysis, reduced-order modeling, etc.), probability theory, multiscale theory, and machine learning preferred. The candidate selected will contribute to the Institute’s world-class research and software development efforts and have the opportunity to develop their research, publication, and presentation skills under mentorship from established faculty investigators. Please contact Shandian Zhe (This email address is being protected from spambots. You need JavaScript enabled to view it.) and/or Mike Kirby (This email address is being protected from spambots. You need JavaScript enabled to view it.) for further information. Please send applications directly to Ms. Deb Zemek (This email address is being protected from spambots. You need JavaScript enabled to view it.) in addition to submitting to the official UU HR site.

Being self-motivated and having good organizational, communication, and teamwork skills is essential.

About SCI
The Scientific Computing and Imaging (SCI, www.sci.utah.edu) Institute is a world-class research institute at the University of Utah in Salt Lake City. We are a highly dynamic and motivated group of over 150 faculty, staff, and students. The overarching goal of the Institute’s research is to create new techniques, tools, and systems to provide science-based solutions to problems affecting various aspects of human life. We believe that developing state-of-the-art computational solutions for such complex systems requires research in a number of areas within scientific computing including visualization, simulation, and modeling. The core strengths of the Institute include scientific visualization, biomedical imaging, problem solving environment (PSE) development, and general computational methods and techniques.

Start Date: As soon as possible, preferably before October 1, 2020.

The University of Utah is an Affirmative Action/Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, University of Utah policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law.
To inquire about this posting, email: This email address is being protected from spambots. You need JavaScript enabled to view it. or call 801-581-2300. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities. To request an accommodation or for further information about University AA/EO policies, please contact the Office of Equal Opportunity and Affirmative Action, 201 S. Presidents Cr., Rm 135, (801) 581-8365 (V/TDD), email: This email address is being protected from spambots. You need JavaScript enabled to view it..

The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.