Assistant Research Scientist; PREP

PREP Research Associate – CHIPS Funded Project

Salary
: $60,000 - $100,000 per year

Johns Hopkins University – Whiting School of Engineering – Office of Research and Translation

• Join a multidisciplinary team of scientists working to advance nondestructive defect detection metrology for advanced semiconductor packaging by developing reference artifacts and benchmark datasets.
• Contribute to sample preparation and perform destructive (e.g., FIB/SEM) and nondestructive measurements (e.g., XCT).
• Design CAD models, run X-ray computed tomography (XCT) simulations, and perform XCT reconstructions to generate datasets.
• Support the development of a Python script or package to automate the data acquisition and processing workflow.
• Analyze measurements, perform image processing, extract meaningful information, and generate evaluation metrics for defect detection and image segmentation algorithms, including deep learning based methods.
• Organize, document, and archive all measured and analyzed datasets for publication and ensure data, protocols, software, and documentation are properly transmitted to the larger organization.
• Present results at internal meetings and occasional meetings with external stakeholders.

• Bachelor’s degree in physics, engineering, or a related discipline.
• At least 5 years of relevant experience.
• Experience with XCT measurements, reconstruction, and image analysis; experience with XCT simulation is a plus.
• Experience with sample preparation, FIB, and SEM.
• Experience with image segmentation using commercial software or an open-source tool.
• Strong oral and written communication skills.
• Ability to quickly learn and adapt to new fields or techniques.

U.S. Citizen Preferred

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.