Assistant Research Scientist (PREP0004828) - #Faculty

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

PREP Research Associate

CHIPS Funded Project.

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.

Research Title:

Research Engineer

The work will entail:

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.

U.S. Citizen Preferred

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.

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

• Knowledge of software engineering for AI applications


• Knowledge of mathematical probability and statistics and optimization methods


• Knowledge of machine learning including supervised and unsupervised learning, deep learning, and model evaluation


• Knowledge of dataset biases, and labeling issues


• Knowledge of AI model building


• Knowledge of translating operational needs into solvable AI problems


• US Citizens Preferred

Salary: $50,000-$80,000 a year

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

• Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.

Equal Opportunity Employer

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.

Pre-Employment Information

If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at [e-mail]. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu.

Background Checks

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.

EEO is the Law

https://www.eeoc.gov/employees-job-applicants

Vaccine Requirements

Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine.

Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.

The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.

The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

Job Type: Full Time