Post Doc Fellow, A&S College of Arts and Sciences

Current UC employees must apply internally via SuccessFactors. 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. Research at the Experimental Neutrino Physics Group 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 searches for sterile neutrinos on NOvA using novel statistical methods, and searches for tau neutrino appearance on DUNE using advanced machine learning reconstruction tools. 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 leading role in the development of the PISCES fitting framework. Will take a leading role in the development of the NuGraph3 graph neural network. Assist in manuscript writing and presentation of research results. This position is not eligible for H-1B sponsorship. Minimum Requirements Doctoral Degree in Physics or a closely related area. Academic research background in analysis of Experimental High Energy Physics data sets. Familiarity with advanced statistical methods, especially using hybrid Poisson and multivariate Gaussian likelihoods, like the PISCES method. Required Education Doctoral Degree in the appropriate field or discipline, or the recognized terminal degree. Compensation and Benefits UC offers an exceptional benefits package designed to support your well-being, financial security, and work-life balance. Salary/Hourly Pay Rate Information: up to $67,500.00. 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), and 6 weeks of paid parental leave for new parents. Additional Benefits Include Competitive salary range of up to $67,500 based on candidate qualifications and experience. Comprehensive health coverage (medical, dental, vision, prescription). Flexible spending accounts & wellness programs. Professional development & mentorship opportunities. 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. Equal Opportunity Employer. Building a workplace where all qualified applicants will receive consideration for employment, including Individuals with Disabilities and Protected Veterans.

REQ: 103033