Cincinnati, Ohio
Davis, California
Hamburg, Germany
Cincinnati, Ohio
Orlando, Florida
Posted: 10-Nov-22
Location: Cincinnati, Ohio
Salary: Open
Internal Number: 91364-en_US
Current UC employees must apply internally via SuccessFactors > http://bit.ly/UCEMPL
Founded in 1819, the University of Cincinnati ranks among the nation's best urban public research universities. Home to more than 47,000 students, 10,500 faculty and staff and 330,000 alumni, UC combines a Top 35 research university with a physical setting The New York Times calls "the most ambitious campus design program in the country."
With the launch of Next Lives Here, the Cincinnati Innovation District, a $100 million JobsOhio investment, eight straight years of record enrollment, worldwide leadership in cooperative education, a dynamic academic health center and entry into the Big 12 athletic conference, UC's momentum has never been stronger. UC's annual budget tops $1.6 billion and its endowment totals $1.9 billion.
Job Overview
The Department of Psychology at the University of Cincinnati (UC) seeks to hire an Assistant Professor-Educator who will contribute to our doctoral program in experimental psychology, as well as our department's graduate and undergraduate teaching missions. The experimental program is a founding member of UC's Center for Cognition, Action, and Perception (CAP), a multidisciplinary research center bringing together researchers in biology, engineering, philosophy, physics, and psychology.
This position is a non-tenure eligible Assistant Professor - Educator position with a start date of August 15, 2023. The initial term is 3 years and is renewable upon satisfactory performance. The expected teaching load is seven units per academic year. Instructional duties will be met through a) undergraduate and graduate classroom teaching, and b) by providing hands-on technical training in research practicum courses. The Educator retention and promotion criteria emphasize teaching excellence, leadership in instructional innovation, and service. Research productivity is not expected or evaluated but is permitted.
We hope to attract applicants who can teach in a diverse university community with interest and experience in helping students with diverse backgrounds and identities succeed. We strongly encourage applications from members of underrepresented groups, including individuals of color, persons with disabilities, and veterans. The University is especially interested in qualified candidates who can contribute, through their teaching and service to a more diverse STEM workforce. UC and the Department of Psychology are responsive to candidates' work-life concerns and are committed to building a multicultural work force. UC has a dual-career hiring program in place; more information is available at www.uc.edu.
Essential Functions
The successful candidate will:
- Teach traditional psychology courses at the undergraduate level, such as statistics and research methods.
- Teach at least some of our specialty topics including: human factors and human-machine interaction, complexity science, embodiment, perception-action, skills in systems technology, and related topics in experimental psychology.
- Be expected to train CAP doctoral students in systems technologies and in advanced data analysis methods used in behavioral science research.
Duties will include:
- Teaching formal courses at both graduate and undergraduate level.
- Providing technical support for student research projects through research practica.
- Engaging in regular departmental service activities, such as but not limited to curriculum committee service and service supporting the doctoral program, such as coordination of activities in the different research labs and coordination of onboarding activities of new student researchers.
Minimum Requirements
Prior to effective date of appointment, candidates must have:
- PhD in Psychology, Engineering Psychology or related field.
- Demonstrable experience in a domain at the intersection of humans and technology, with the required experience, competencies and expertise described below.
- One (1) academic term of experience teaching technical content at the college level.
- Advanced competency in at least one common programming language (e.g., open source languages such as R and Python).
- Expertise with Virtual Reality and one additional systems technology platform (e.g., motion capture, robotic systems, eye tracking).
- Expertise with complex dynamical systems modeling and one additional type of linear and non-linear statistical method (e.g., artificial intelligence & machine learning, bootstrapping, distribution modeling, fractal data analysis & sample entropy, neural networks, recurrence analysis, or regression & principal component analysis).
- Advanced competencies in programming and expertise in systems technology and statistical data analysis methods can be demonstrated through teaching experience (a formal course or workshop is acceptable) or professional or academic reference letters from collaborators describing how your expertise with a given language, system or data analysis method supported their research work.
Application Process
Interested applicants must apply online. Please submit with your application:
- Current copy of your vitae.
- Transcripts.
- One (1) page diversity statement summarizing your potential contributions to diversity and inclusion as they relate to teaching and technical support to student research.
Cover letter that includes a description of:
- Relevant teaching experiences.
- Experience with systems technology and statistical data analysis methods.
- Programming experience and statistical and dynamical systems modeling skills.
- Names, titles, addresses, phone numbers, and email addresses of at least three (3) but no more than five (5) professional references.
- Please use the additional documents feature of our system to attach all the required documents.
Review of applications will begin on December 9, 2022. We will begin reviewing applications immediately thereafter and continue to accept and review applications until the position has been filled.
Please address any questions regarding this search to John (Jay) Holden at john.holden@uc.edu.
Compensation and Benefits
UC offers a wide array of complementary and affordable benefit options, to meet the financial, educational, health, and wellness needs of you and your family. Eligibility varies by position and FTE.
- Competitive salary range dependent on the candidate's experience.
- Comprehensive insurance plans including medical, dental, vision, and prescription coverage.
- Flexible spending accounts and an award-winning employee wellness program, plus an employee assistance program.
- Financial security via our life and long-term disability insurance, accident and illness insurance, and retirement savings plans.
- Generous paid time off work options including vacation, sick leave, annual holidays, and winter season days in addition to paid parental leave.
- Tuition remission is available for employees and their eligible dependents.
- Enjoy discounts for on and off-campus activities and services.
FOR ALL FACULTY HIRES OFFICIAL ACADEMIC TRANSCRIPTS WILL BE REQUIRED AT THE TIME OF HIRE
The University of Cincinnati, as a multi-national and culturally diverse university, is committed to providing an inclusive, equitable and diverse place of learning and employment. As part of a complete job application you will be asked to include a Contribution to Diversity and Inclusion statement.
As a UC employee, and an employee of an Ohio public institution, if hired you will not contribute to the federal Social Security system, other than contributions to Medicare. Instead, UC employees have the option to contribute to a state retirement plan (OPERS, STRS) or an alternative retirement plan (ARP).
The University of Cincinnati is an Affirmative Action / Equal Opportunity Employer / Minority / Female / Disability / Veteran.
REQ: 91364
SF:OMJ SF:RM SF:HEJ, SF:INS SF:HERC SF:DIV SF:LJN
