Division of Research & Economic Development
PREP0004368 AI for Cell Reference Materials Researcher
PREP Research Associate
Opportunity No.: PREP0004368
This position is part of the National Institute of Standards and Technology (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, and 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.
AI for Cell Reference Materials Researcher
Project Description:
Overview: ITL’s role in the IMS project “Distributed Manufacturing of First-In-Class NIST Traceable Active Cell Reference Materials” involves the following tasks: (1) the design and training of convolutional neural networks (CNN) for cell segmentation, cell division detection across time, and label-free cell viability assessment under different imaging modalities, and (2) the design of reference materials with which to transfer AI models across labs. Our success depends upon the availability of highly skilled domain experts. We are challenged with difficult tasks that require not only expertise in running different types of CNNs, but also in designing new architectures for applications where training data is scarce but high accuracy is paramount.
Key responsibilities may include, but are not limited to:
- Developing new AI architectures for cell segmentation and cell division through time.
- Creating custom built reference materials and measurement strategies to transfer the AI solutions between labs for specific cell-based assay experiments.
- Produce high-quality publications based on research and results present at internal and external meetings and conferences.
Desired Qualifications:
- U.S. citizens preferred
- A PhD degree in Computer Science with 3 or more years of relevant experience.
- Expertise in Pytorch/Python and state of the Art AI models like vision transformers and advanced CNNs.
- Ability to build deployable complex software solutions for cell image analysis.
- Strong oral and written communication skills and strong presentation skills.
Other Details:
- Full-time: the participant is expected to work 40 hours a week
- Location: the participant will work at the NIST Gaithersburg Campus.
- Duration: this is expected to be a one-year position. Extensions are sometimes granted depending on the availability of funds.
- For questions related to the research project or the nature of the work in this position, please contact Joe Chalfoun (joe.chalfoun@nist.gov). For questions related to the online application or NIST PREP more generally, please contact msu-nistprep@morgan.edu.
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 the 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 the information you submit for the purpose stated.
Contact Information
Division of Research & Economic Development
1700 East Cold Spring Lane
Tyler Hall Suite 304
Baltimore, MD 21251
P: 443.885.4631
Contact Information
Division of Research & Economic Development
1700 East Cold Spring Lane
Tyler Hall Suite 304
Baltimore, MD 21251
P: 443.885.4631