Postdoctoral Fellow; PREP
Listed on 2025-12-06
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Research/Development
Research Scientist, Data Scientist
Department/Program:
Office of Research and Translation
This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research
Title:
Postdoctoral Research Associate in Electron Microscopy
The work will entail: NIST is actively seeking a candidate for a postdoctoral research position as part of a project related to the CHIPS for America Act. The project seeks to develop quantitative, atomic-resolution methods for the three-dimensional characterization of complex semiconductor devices via electron tomography. By coupling advanced specimen preparation, cutting-edge electron microscopy instrumentation, and AI-driven data collection and reconstruction, we will deliver a robust suite of measurement tools to the semiconductor industry.
Key Responsibilities- Sample preparation via focused ion beam methods
- Collecting and processing of TEM tomography data
- Presenting results at internal meetings, and occasional meetings with external stakeholders.
- Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.
- Ph.D. in Physics, Materials Science, or a related field with a concentration in electron microscopy methods
- Experience in the collection and processing of TEM/STEM data
- Strong oral and written communication skills
Please upload the following with your application:
- CV/Resume (limit 3 pages and include a valid email address only)
- Phone number
- Home address/Country
- Languages spoken
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 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.
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Pre-EmploymentInformation
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COVID‑19:
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