UDRI is hiring for a full-time Research Engineer in the Power & Energy division! At the University of Dayton Research Institute, we combine (un)common sense with creativity to deliver innovative, practical science and engineering solutions. On budget. On time.

The candidate will perform arc faults in a zonal electrical protection for a machine-learning based schedme. The candidate will also investigate the arc fault mechanism and locan detector to Cubird platform.


Minimum Qualifications
BS in electrical engineering with extensive experience in Machine Learning(ML) and Artificial Intelligent(AI) technical areas.
A minimum of three years of directly related experience is required.
Effective written and verbal communication skills
US Citizen

Preferred Qualifications

While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:

PhD in electrical engineering with strong background in maching learning
Extensive experience in power electronics and intelligent power systems

Special Instructions to Applicants
A federal court on December 7, 2021, issued a ruling that suspends the COVID-19 vaccine requirement that applies to federal contractors nationwide. With this development, the University will pause any enforcement action against employees who have not complied with the requirement to be fully vaccinated by Dec. 8, 2021 or to have requested an exemption to maintain their employment status.

The University will continue to monitor the state of the pandemic on campus and in the community as well as developments in federal and state requirements, and also will continue to regularly consult with public health officials and our medical panel. As has been the case throughout the pandemic, our protocols and requirements are subject to change depending on conditions on campus or in our community, and government requirements.



Informed by its Catholic and Marianist mission, the University is committed to the principles of diversity, equity, and inclusion. Informed by this commitment, we seek to increase diversity, achieve equitable outcomes, and model inclusion across our campus community. As an Affirmative Action and Equal Opportunity Employer, we will not discriminate against minorities, females, protected veterans, individuals with disabilities, or on the basis of sexual orientation or gender identity.