Associate Research Scientist; PREP

Requisition #: A-171277-56

Status:
Part Time

Type:
Faculty

School:
Whiting School of Engineering

Department/Program:
Commercial and Government Programs Office

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.

Research Title:

Data science and AI expertise and student advising

The work will entail:

The researcher will help advise the research associates working on the various projects related to Public data repository. The work includes advising, monitoring and managing the work for AI enabled PDR, automation of digital assets collection and dynamic visualization of the tabular data in PDR. Researcher will use its expertise in multidisciplinary science projects specifically computer and data science.

Key responsibilities will include but are not limited to:

• Advise associates on various technologies
• Provide expertise in data science specifically AI and machine learning
• Guide and monitor the work regularly
• Meet with NIST staff and engage in discussions

§ A PhD in Computer Science, Engineering, Manufacturing, or a related field.

§ 10+ years of relevant experience.

§ Experience in cross domain projects for data science

§ Worked on large scale data management and analysis

§ Strong oral and written communication skills.

Please upload the following with your application:

- CV/Resume

* Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info.
Your resume will not be considered if the following information is included on your CV/resume.

- Phone number

- Home address/Country

- Languages spoken

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.

PREPis 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.

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 ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other…