Post Master

Project
PREP0004828
Overview

The candidate will join a multidisciplinary team of scientists working to advance nondestructive defect
detection metrology for advanced semiconductor packaging by developing reference artifacts and
benchmark datasets. The candidate will contribute to various aspects of the project, including, but not
limited to, designing CAD models, running X-ray computed tomography (XCT) simulations, performing
XCT reconstructions to generate datasets, preparing samples for FIB/SEM, and nanofabrication. The
candidate will develop a Python script or package to automate these processes. Additionally, the
candidate will use a team-developed generative modeling process to produce 3D models with seeded
defects. The datasets will be used to evaluate defect detection and image segmentation algorithms,
including those based on deep learning principles. The incumbent will analyze the resulting
measurements, perform image processing, and extract meaningful information to support the research
goals outlined in the experiment plan. They will organize the measured and analyzed datasets for
publication, communicate with the team, and share the results at conferences and in publications.

Research Engineer (CHIPS Funded Project)

Qualifications
  • A master’s degree in physics, engineering, or a related discipline.
  • Experience with XCT measurements, reconstruction, and image analysis. Experience with XCT
    simulation is a plus.
  • Experience in writing Python scripts. Familiarity with automating or controlling other software,
    tools, or processes through APIs, inter-process communication, or similar methods is a plus.
  • Experience in writing Python packages or with other programming languages like C++ or Tcl/Tk is a
    plus.
  • Experience with implementing deep learning-based image segmentation processes is a plus.
  • Experience with sample preparation (mechanical polishing, focused ion beam) or scanning electron
    microscopy imaging is a plus.
  • Strong oral and written communication skills.
  • Able to quickly learn and adapt to new fields or techniques
Research Proposal

Key responsibilities will include but are not limited to:

  • Design 3D models for simulation, run XCT simulations, carry out XCT reconstruction, and execute
    image analysis.
  • Organize and prepare data sets for publication.
  • Presenting results at internal meetings and occasional meetings with external stakeholders.
  • Publish results in journals and present results at conferences.
NIST Sponsor
Felix Kim
Group
Production Systems Group
Schedule of Appointment
Full time
Start Date
Sponsor email
Work Location
Onsite NIST (Gaithersburg, MD)
Salary / Hourly rate {Max}
$80,000.00
Total Hours per week
40
End Date