Job Description

Overview PREP Research Associate 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. Project Description The focus of this project is to conduct a pilot study and develop a demonstration of reproducible AI evaluations. The student will explore the different ways AI evaluations are conducted and the challenges of reproducibility in these contexts. The project aims to produce a study report and a working demonstration of reproducible AI evaluations, supporting broader work at NIST in the measurement of AI. Responsibilities Conduct literature survey on the state-of-the-art of reproducible evaluations of software systems Gain familiarity with existing AI evaluation frameworks Contribute to a plan detailing a demonstration of reproducible AI evaluations Design, implement, test, and document software and systems used for demonstration Document overall demonstration, including current limitations and challenges Deliverables Survey briefly describing key research on software experiment reproducibility Summary report of existing AI evaluation frameworks Working demonstration of reproducible AI evaluations Report describing the demonstration and discussing the challenges in AI evaluation reproducibility Qualifications Background in Computer Science, Software Engineering, Systems Engineering, Data Science, or related field. Education level: graduate student or higher. Strong interest in software development, AI measurement, reproducibility Experience with software development in Python, version control systems, AI models, and the shell, as well as scientific reading and technical writing. Experience conducting AI evaluations and designing reproducible software experiments preferred. Application Instructions CV/Resume Self portraits Phone number Home address/Country Citizenship status Languages spoken Sex/Gender Privacy Act Statement Privacy, Compliance and Eligibility 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 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 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 stated purpose. How to Apply and Additional Information To apply for this position, visit: apply.interfolio.com/172425 Salary & Benefits The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University\'s good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will depend on multiple factors, including geographic location, skills, work experience, internal equity, market conditions, education/training and other factors as reasonably determined by the University. Equal Opportunity The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. The university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. Pre-Employment & Background Pre-Employment Information: If you require special assistance or accommodation during any part of the pre-employment process, contact the HR Business Services Office at [email protected] For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility, visit accessibility.jhu.edu. Background Checks: The successful candidate(s) will be subject to a pre-employment background check including education verification. EEO & Diversity EEO is the Law: Diversity and Inclusion: Johns Hopkins University values diversity, equity and inclusion and advances these through the JHU Roadmap on Diversity and Inclusion. Vaccine Requirements Johns Hopkins University encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions in Florida. Seasonal flu vaccine is still required. Exceptions may be provided for religious beliefs or medical reasons. For SOM positions, full vaccination with FDA-approved COVID-19 vaccine is required. #J-18808-Ljbffr Johns Hopkins University

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