Postdoctoral Fellow (PREP0004830) - #Faculty

Postdoctoral Research Associate

CHIPS Funded Project

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 and thus requires that such institutions be the recipients 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:

Thermal 3D Magnetic Imaging of Advanced Semiconductor Packages

U.S. Citizen Preferred

The work will entail:

Our multi-disciplinary team at NIST has recently been awarded funding to apply magnetic particle imaging to the remote measurement of temperature within packaged semiconductors. This technology will assist in the thermal characterization and design of advanced packages that have grown increasingly complicated and 3-dimensional. We seek a postdoc to help develop high sensitivity magnetic microscopes, to include approximately 50 % of their effort on instrumentation and 50 % of their effort on software development. For the past 6 years, our team has been developing instrumentation for magnetic nanoparticle characterization/imaging, and the postdoctoral researcher would help extend the capabilities of these instruments and related image reconstruction software specifically for thermal imaging in packaged semiconductor devices. A qualified candidate would have a Ph.D. in physics, physical chemistry, materials science, engineering, or a related field and already have expertise in at least some of the following areas: instrumentation for magnetic or optical measurements, digital acquisition and control, magnetic sensors, magnetic microscopy, image reconstruction and visualization, user interfaces for physics or engineering applications, image classification using machine learning .

Key responsibilities will include but are not limited to:

Helping develop custom-designed magnetic microscopes for thermal imaging

Collaborating with other team members to thermally image semiconductor test packages

Developing user-friendly image reconstruction software based on existing Python code, including machine learning classifications of results

Helping develop software for automated synthesis of magnetic nanoparticle tracers

Presenting results at internal meetings, meetings with external stakeholders, and conferences

Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization. Helping write journal papers covering project results.

A Ph.D. in physics, physical chemistry, materials science, engineering, or a related field.

3 years of relevant research experience.

Demonstrated experience working with custom electronic, magnetic or optical instrumentation.

Demonstrated experience with data visualization, creating software user interfaces.

Familiarity with the programming languages Python, MATLAB, or LabVIEW.

Familiarity with design tools like SolidWorks or Autodesk Inventor.

Strong oral and written communication skills.

Salary: $82,000-$89,000 a year

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.

• Self portraits

• Phone number

• Home address/Country

• Citizenship status

• Languages spoken

• Sex/Gender

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) (https://www.nist.gov/iaao/academic-affairs-office/nist-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.

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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.

Salary Range

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.

Total Rewards

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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 characteristics. 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 or demographic characteristics that are irrelevant to the program involved.

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After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate's conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.

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Job Type: Full Time