• Development of analysis tools and software including machine learning strategies
• Analysis of experimental data
• Communication of results to include written and oral
• Documentation of results to include written and peer-review publication submission

Education and/or training:

PhD in physics

Level and type of experience

Record of delivering physics analysis in peer-review publications.

Specific knowledge, skills, and abilities:

Thorough knowledge of electron scattering data analysis is expected. Demonstrated publication and presentation record. Proficiency of utilizing machine learning techniques.

Preferred knowledge, skills, and abilities:

     Analysis experience of Hall C data and machine learning techniques.

Education or training (cite major area of study):

     PhD in physics with a preference in experimental nuclear physics

To apply: click Job Browsing; and follow the link for position #26-030. Review of applications will begin immediately and will continue until the position is filled

This position is being filled through the Research Foundation, which is a separate entity from Old Dominion University (ODU). While we work in support of ODU, the Research Foundation operates independently and is a not-for-profit, tax-exempt 501(c)(3) organization.

The organization is an equal opportunity and affirmative action employer (AA/EOE/M/F/Disability/VETS/Drug-Free Workplace). We are committed to providing equal employment opportunity to all individuals in accordance with applicable federal, state, and local laws. Employment decisions — including recruitment, hiring, training, compensation, and promotion — are made without regard to race, color, religion, sex, national origin, physical or mental disability, genetic information, age, protected veteran status, or any other protected characteristic. Affirmative action efforts are conducted consistent with applicable laws to promote equal opportunity in employment and advancement.

As part of our commitment to pay transparency and compliance with applicable laws, the Research Foundation includes a good-faith salary range in all job postings. These ranges represent the expected hiring range for the position, not the full compensation band.

Final salary offers may vary depending on factors such as experience, qualifications, skills, internal equity, and budget availability. The anticipated salary range for this position is $60,000 – $70,000 annually.

This position will support two projects analyzing experimental nuclear physics data. The first project is dedicated to the development of an event-level inference framework for obtaining the quark-gluon structure of nucleons and nuclei from deep-inelastic scattering (DIS) measurements as part of the QuantOm collaboration. Responsibilities include the accurate modeling of experimental effects through detailed Geant4 simulations and machine learning techniques, as well as the exploration and evaluation of this unique event-level approach using experimental data. In the second project, the postdoc will lead the running, analysis, and early result extraction for the Hall C Pion CT experiment that runs in August 2026 at Jefferson Lab. Responsibilities will include developing tools for expedient analysis of the experiment, assessing experimental background contributions, and supporting graduate students and collaborators on the experiment. Regular communication of results and analysis are required.