Nondestructive Imaging Research Engineer (XCT & AI)

Johns Hopkins University; Gaithersburg (MD); On-site; USD 50,000 - 80,000; Full time

Job summary

Johns Hopkins University invites applications for a PREP Research Associate to join a multidisciplinary team advancing nondestructive defect detection metrology for advanced semiconductor packaging. The role includes designing reference artifacts, running XCT simulations, generating datasets, and developing Python scripts to automate processes.

The ideal candidate holds a master's in physics or engineering, has experience with XCT measurements, reconstruction and image analysis, plus Python

Qualifications

• Master's degree in physics, engineering, or related discipline.
• Experience with XCT measurements, reconstruction, and image analysis.
• Experience writing Python scripts and packages (C++ or Tcl/Tk a plus).
• Experience with deep learning-based image segmentation is a plus.
• Experience with sample preparation (FIB/SEM) or SEM imaging is a plus.
• Strong written and oral communication skills.

Responsibilities

• Design 3D models for simulation and run XCT simulations.
• Carry out XCT reconstruction and image analysis.
• Organize datasets for publication and conference presentations.
• Publish results in journals and present at meetings.

Skills

Python scripting

Deep learning basics

Data analysis

Scientific communication

Education

Master's degree in physics, engineering, or related discipline

Tools

XCT simulations

FIB/SEM sample prep

3D CAD modeling

Python package development

Job description

Johns Hopkins University invites applications for a PREP Research Associate to join a multidisciplinary team advancing nondestructive defect detection metrology for advanced semiconductor packaging. The role includes designing reference artifacts, running XCT simulations, generating datasets, and developing Python scripts to automate processes.

The ideal candidate holds a master's in physics or engineering, has experience with XCT measurements, reconstruction and image analysis, plus Python