Electrical and Computer Engineering Post-Doc to Tenure Track Fellow

Position Summary :

Are you looking for colleagues who will value you and help you grow as a professional? Are you looking for a university that will support your commitment to educating and mentoring the next generation of work-ready, community-connected, complete engineers?

Are you interested in bringing ethical research practices and new experiential learning strategies into the classroom? Are you committed to growing participation of women and underrepresented minorities in engineering?

Are you seeking to engage in research and mentorship that makes a difference in the world, as a member of a mission-centered institution?

The University of Dayton School of Engineering is seeking postdoctoral fellows to join our best-in-class community deeply committed to their mentorship and transition to a successful tenure-track faculty career.

UD’s School of Engineering values collaboration, inclusiveness, community-engaged learning and adaptation to change. We strive to develop engineers who are socially and globally aware, understand business and entrepreneurship, are prepared to take on leadership roles and are conscious of the consequences of their work to society, the environment and the profession.

SoE has been recognized as Best in Class by the Kern Family Foundation's Kern Entrepreneurial Engineering Network , led by our .

Our partnership of more than a decade continues to support and transform the educational partnership of faculty and students.

Service learning is strongly valued, whether in classroom projects or the variety of immersive technical experiences supported by The s 20 year history.

Other unique features include interdisciplinary minors such as our

UD is one of the nation’s , and one of the largest private universities in Ohio. Continuing its trajectory of growth, UD enrolls nearly 12,000 students, including over 8,000 full-time undergraduates.

Research activity also boasts bold numbers : we are a leader in the nation for industrial and manufacturing R&D and federally sponsored engineering R&D, and

Dayton’s environment is a great place for those who want a bit of everything with a low cost of living, great schools, and manageable traffic.

Love water? UD’s campus is a walk away from The Great Miami Riverway (also home of the nation’s largest paved trail network).

Our central location provides easy access to a burgeoning downtown area, expansive metro parks named for our convergence of five waterways, a vibrant arts scene, historic neighborhoods, and the Dayton Aviation Heritage and National Historical Park.

See for more information about the area.

We invite applications for a postdoc to tenure track fellow with research and teaching interests and experience in the areas of machine learning, deep learning, artificial intelligence, autonomous systems, and neurofeedback technology.

These opportunities are two-year postdoctoral research positions that may transition to tenure-track faculty positions at the end of the second year per postdoc to tenure track fellow review policies of the hiring unit and University of Dayton, upon demonstrated success in securing externally sponsored research;

high-impact mentorship of undergraduate and graduate researchers; and development of effective, innovative teaching practices.

These positions are renewable annually and begin on January 1, 2025.

Opportunities for collaboration are diverse, with examples including the - Vision Lab Center of Excellence, Additive Manufacturing Lab, Intelligent Infrastructure Systems Center, Design of Innovative Machines Lab, EMPOWER Biomechanics Lab, Flight Simulator Lab, Integrated Microsystems Lab, Thermochemistry Lab, High Speed Flow Lab, Behavior of Advanced Materials and Structures Lab, Dayton Thermal Applications Lab, Intelligent Optics Lab, Intelligent Signal Systems Lab, Low-Speed Wind Tunnel, Nano-Fab Lab, Robotics Lab, Signal and Image Processing Lab, Transportation Lab, , , , and the .

The university’s and the University of Dayton Research Institute offer additional opportunities for collaboration. The Dayton area offers unique opportunities to work with researchers at the located at , the , and regional academic institutions such as and .

The successful candidate will engage in externally sponsored research in machine learning, deep learning, autonomous systems, and EEG-based neurofeedback, and collaborate within the department, across the university, and externally, while using high-impact practices to mentor undergraduate and graduate researchers.

Additionally, the successful candidate is expected to teach courses in Electrical and Computer Engineering, Data Analytics, Artificial Intelligence, and Neural Systems to contribute to our premier student experiences.

The successful scholar’s research and mentorship activities will have broader impacts through outreach and service. Because of the need for collaboration with U.

S. government agencies, and the need to access controlled research facilities, U.S. citizenship or permanent residency is required.

At the University of Dayton, we value inclusive excellence because we recognize that diversity, equity and inclusion are fundamental to academic and institutional excellence.

Inclusive excellence requires a comprehensive, cohesive and collaborative alignment of infrastructure, resources and actions.

We strive to be active, intentional, and sustain engagement with and celebration of diversity in every dimension of institutional life.

Because we seek a workforce with a wide range of perspectives and experiences, we encourage all candidates to apply.

Minimum Qualifications :

• Ph.D. in Electrical or Computer Engineering or closely related field at the time of hire.
• Record of scholarly research and development related to machine learning, deep learning, autonomous systems, and EEG-based neurofeedback.
• Articulated potential for teaching excellence, particularly employing active, experiential, and inclusive pedagogies.
• Potential to teach undergraduate or graduate courses in Electrical and Computer Engineering, Data Analytics, Artificial Intelligence, and Neural Systems.
• Articulated willingness to engage in collaboration with professionals in academic and professional settings.
• Effective written communication skills.
• Articulated commitment to advancing diversity, equity and inclusion.
• Because of the need for collaboration with U.S. government agencies, and the need to access controlled research facilities, U.

S. citizenship or permanent residency is required.

Preferred Qualifications :

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

• Potential to establish an externally-funded research program aligned with on-going efforts at the University of Dayton and the greater Dayton region.
• Engineering experience in the following broad areas : machine learning, deep learning, autonomous systems, and EEG-based neurofeedback systems.
• Potential to implement prototypes and products with current state-of-the-art methods in machine learning, deep learning, and neurofeedback systems.
• Successful experience in one or more of the following : High-impact research mentorship practices with undergraduate and graduate researchers.

Teaching courses in electrical and computer engineering, data analytics, artificial intelligence, and neural systems.Collaborating and / or engaging individuals from socially and culturally.

diverse backgrounds and supporting the principles of diversity, equity, and inclusion in an academic and / or professional setting.

• Articulated commitment to breadth of education, including educating the whole person in the Catholic and Marianist tradition of social justice and a commitment of service to the community, university and profession.
• Effective interpersonal communication skills.
• Effective oral communication skills.
• Effective classroom management skills.
13 days ago