Description

Current UC employees must apply internally via SuccessFactors

Next Lives at the University of Cincinnati

Founded in 1819, the University of Cincinnati ranks among the nation's best urban public research universities. Home to more than 53,600 students, 12,000 faculty and staff, and over 360,000 living alumni, UC, a Carnegie 1 institution, combines research prowess with a physical setting The New York Times has called "the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative education (co-op) program in the country with students earning $94 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference. The university contributes $10.6 billion in economic impact to the city and $22.7 billion to the state of Ohio. At UC, next is all of us. Learn more at uc.edu .

UC is a mission-driven organization where we are committed to student success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC's success.

Job Overview

The Experimental Neutrino Physics Group at the Department of Physics within the University of Cincinnati's College of Arts & Sciences invites applications for a Postdoctoral Fellow position centered on data analysis using advanced fitting methods, and the development of state-of-the-art Deep Learning-based particle identification and reconstruction tools for the DUNE and NOvA neutrino experiments. The position is expected to begin August 15, 2026.

Research at the Experimental Neutrino Physics Group at the University of Cincinnati focuses on searches for Beyond the Standard Model (BSM) oscillations and advanced particle identification and reconstruction techniques. The group members hold leading roles on the DUNE and NOvA experiments, and are contributing to the construction and installation of the DUNE Far Detectors through deployment of a Cold Electronics Quality Control Testing facility. Further, the Department's High-Energy Physics group has active programs in both experimental and theoretical research, with experimental efforts including the BELLE, BELLE II, and LHCb Intensity Frontier experiments, and theoretical efforts focused on flavor physics and dark matter.

The selected candidate will be expected to, under direct supervision, make substantial contributions to research on DUNE and NOvA, with potential opportunities including DUNE BSM studies with advanced fitting methods, improved Machine Learning reconstruction tools for both DUNE and NOvA applications, and leadership of the Cincinnati DUNE Cold Electronics Testing during DUNE Far Detector installation. The candidate will be expected to work with applications of machine learning algorithms and/or advanced statistical and computational methods to particle physics problems. This position will be preferably based at the University of Cincinnati.

Essential Functions

• Duties will be focused on the Deep Underground Neutrino Experiment (DUNE) and the NuMI Off-Axis Electron Neutrino Appearance (NOvA) Experiment.
• Will conduct research in experimental particle physics centered on Data Analysis for the DUNE and NOvA neutrino experiments;
• Will take a leadership role on coordination of DUNE's Cold Electronics Quality Control Testing.
• Assist in manuscript writing and presentation of research results.

Minimum Requirements

• Doctoral Degree in Physics or a closely related area;
• Academic research background in analysis of Experimental High Energy Physics data sets.

Application Process

Interested candidates should create an Applicant profile and submit an online application.

Please upload:

• A cover letter with no more than one page;
• A current curriculum vitae including a list of publications (if applicable);
• A statement describing research interests.

Please use the Additional Documents option as needed for these documents.

Applicants should arrange to have at least three letters of reference sent separately to [email protected]. All applicants will also complete a Team Culture statement as part of the application process.

Review of applications will begin on June 28, 2026, and continue until the position is filled. Interested candidates should contact Prof. Alex Sousa ([email protected]) for more information on the position.

Compensation and Benefits

UC offers an exceptional benefits package designed to support your well-being, financial security, and work-life balance. (UC Benefits) Eligibility may vary by position and FTE status. Highlights include:

Salary/Hourly Pay Rate Information:

Comprehensive Tuition Remission

UC provides tuition remission for you and your eligible dependents, covering tuition costs for nearly all undergraduate and graduate programs offered by the university.

Robust Retirement Plans

As a UC employee, you won't contribute to Social Security (except Medicare). Instead, you'll choose between state pension plans (OPERS, STRS) or an Alternative Retirement Plan (ARP), with UC contributing 14-18% of your salary based on position.

Real Work-Life Balance

UC prioritizes work-life balance with a generous time-off policy, including:

Vacation and sick time

11 paid holidays and additional end-of-year paid time off (Winter Season Days)

6 weeks of paid parental leave for new parents

Additional Benefits Include:

• Competitive salary based on experience
• Comprehensive health coverage (medical, dental, vision, prescription)
• Flexible spending accounts & wellness programs
• Professional development & mentorship opportunities

To learn more about why UC is a great place to work, please visit our Careers Page .

UC is an E-Verify employer. If hired into this position, you will be required to provide satisfactory proof of employment eligibility by providing acceptable, original forms of identification for employment verification via the Federal I-9 employment verification process. Click here for a list of acceptable documents.

Important : To apply you must create a profile and submit a complete job application through the UC applicant portal . We are unable to consider "easy apply" applications submitted via other websites. For questions about the UC recruiting process or to request accommodations with the application, please contact UC HR at [email protected] .

Equal Opportunity Employer. Building a workplace where all qualified applicants will receive consideration for employment, including Individuals with Disabilities and Protected Veterans.

REQ: 102745