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General Description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.

The position is for a graduate student level researcher interested and experienced in applied data science to work jointly with mathematicians and experimentalists at NIST to study AI algorithms and uncertainty quantification. A goal of this work is to incorporate uncertainty quantification into AI models to provide useful information regarding the structure of a theory or by using UQ in AI models to discern patterns in physical properties. The position will be highly interdisciplinary requiring regular communication between mathematicians working on modelling these devices and with experimentalists taking measurements and producing data.

 Key responsibilities will include but are not limited to:

-        Implementing optimized level-set calculations to study AI classification algorithms.

-        Assessing uncertainty in classification of experimental data.   

-        Computationally testing mathematical models relating uncertainty quantification.

-        Significant software development (most likely python)

-        Disseminating results through posters/seminars at international meetings and university seminars

-        Ensuring that all results, findings, data, software...etc. have been correctly archived and transmitted through appropriate channels

Qualifications

-        Either completed master's degree (or close to completion) in data science or related field.

-        Minimum of 1 year of experience conducting data science research

-        Significant course work in mathematics, statistics and/or computer science  

-        Familiarity with larger computational and AI/ML software packages

-        Ability to program in a modern computational language (e.g. python)

Privacy Act Statement

Authority:  15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)

Purpose:  The National Institute for Standards and Technology (NIST) hosts the  Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.  

PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.

Routine Uses:  NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices:  NIST-1: NIST Associates. 

 

Disclosure:  Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.

 

Application Instructions

Please include an up to date CV and 3 references combined onto 1 page.

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About Johns Hopkins University

Johns Hopkins University remains committed to its founding principle, that education for all students should be grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in this unique educational environment. After more than 130 years, Johns Hopkins remains a world leader in both teaching and research. Faculty members and their research colleagues at the university's Applied Physics Laboratory have each year since 1979 won Johns Hopkins more federal research and development funding than any other university. The university has nine academic divisions and campuses throughout the Baltimore-Washington area. The Krieger School of Arts and Sciences, the Whiting School of Engineering, the School of Education and the Carey Business School are based at the Homewood campus in northern Baltimore. The schools of Medicine, Public Health, and Nursing share a campus in east Baltimore with The Johns Hopkins Hospital. The Peabody Institute, a leading professional school of music, is located on Mount Vernon Place in downtown Bal...timore. The Paul H. Nitze School of Advanced International Studies is located in Washington's Dupont Circle area.

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