Postdoctoral Fellow (PREP0004830)

Johns Hopkins University

Baltimore (MD)

On-site

USD 65,000 - 85,000

Full time

14 days+

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Job summary

Johns Hopkins University invites applications for a Postdoctoral Research Associate on a CHIPS funded project. The role focuses on thermal 3D magnetic imaging of advanced semiconductor packages and developing user-friendly Python-based image-reconstruction software, including ML classifications.

Qualified candidates hold a PhD in a related field and have 3+ years of research experience with instrumentation, data visualization, and strong communication skills.

Qualifications

  • PhD in physics, physical chemistry, materials science, engineering, or related field.
  • Minimum 3 years of relevant research experience.
  • Demonstrated experience with custom electronic, magnetic, or optical instrumentation.
  • Experience with data visualization and creating software user interfaces.
  • Familiarity with Python, MATLAB, or LabVIEW.
  • Familiarity with design tools such as SolidWorks or Autodesk Inventor.
  • Strong oral and written communication skills.

Responsibilities

  • Help develop custom-designed magnetic microscopes for thermal imaging.
  • Collaborate with team members to thermally image semiconductor test packages.
  • Develop user-friendly image-reconstruction software based on existing Python code, including ML classifications of results.
  • Help develop software for automated synthesis of magnetic nanoparticle tracers.
  • Present results at internal meetings, external stakeholder meetings, and conferences.
  • Ensure that results, protocols, software, and documentation are archived and shared with the larger organization.
  • Assist in writing journal papers covering project results.

Skills

Python
MATLAB
Data visualization
Instrumentation
Communication

Education

PhD in physics/chemistry/materials/engineering

Tools

SolidWorks
Autodesk Inventor
LabVIEW
ML frameworks
Python GUI

Job description

Postdoctoral Research Associate – CHIPS Funded Project

This position is part of NIST's Professional Research Experience (PREP) program. NIST partners with academic institutions to foster collaborative research. Employees in this role provide technical support for the collaboration.

Research Title

Thermal 3D Magnetic Imaging of Advanced Semiconductor Packages

U.S. Citizen Preferred

Preferred.

Work Overview

Our multidisciplinary team has been awarded funding to apply magnetic particle imaging for remote temperature measurement within packaged semiconductors. The role involves:

  • Developing high-sensitivity magnetic microscopes (≈ 50% of effort)
  • Building user-friendly image-reconstruction software in Python, including machine-learning classification (≈ 50% of effort)
  • Extending current instrumentation and image-reconstruction capabilities for thermal imaging in semiconductor devices
Key Responsibilities
  • Help develop custom-designed magnetic microscopes for thermal imaging
  • Collaborate with team members to thermally image semiconductor test packages
  • Develop user-friendly image-reconstruction software based on existing Python code, including ML classifications of results
  • Help develop software for automated synthesis of magnetic nanoparticle tracers
  • Present results at internal meetings, external stakeholder meetings, and conferences
  • Ensure that results, protocols, software, and documentation are archived and shared with the larger organization
  • Assist in writing journal papers covering project results
Qualifications
  • Ph.D. in physics, physical chemistry, materials science, engineering, or a related field
  • Minimum 3 years of relevant research experience
  • Demonstrated experience with custom electronic, magnetic, or optical instrumentation
  • Experience with data visualization and creating software user interfaces
  • Familiarity with Python, MATLAB, or LabVIEW
  • Familiarity with design tools such as SolidWorks or Autodesk Inventor
  • Strong oral and written communication skills
Salary Range

The minimum and maximum salaries for this position are based on Johns Hopkins University's good-faith belief at the time of posting. The actual compensation offered may vary.

Total Rewards

Johns Hopkins offers a comprehensive benefits package supporting health, life, career, and retirement. More information: https://hr.jhu.edu/benefits-worklife/

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity. It 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.

EEO Is the Law

Fair employment practices are protected by law. For more information, visit https://www.eeoc.gov/employees-job-applicants

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