Postdoctoral Fellow; PREP

General Description

PREP Research Associate. This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields.

Individuals in this position will perform technical work supporting the collaboration's scientific research.

Reference Material creation to Calibrate AI Solutions across labs

ITL's role in the IMS project "Distributed Manufacturing of First-In-Class NIST Traceable Active Cell Reference Materials" involves the following tasks: (1) 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) 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.

• 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.

• US citizenship is 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.

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 factors, as reasonably determined by the University.

Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: (Use the "Apply for this Job" box below)..

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, 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 characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.