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Research Associate
Job Description
Posting Details
Posting Details
| Posting Number | S04514P |
|---|---|
| Position Title | Research Associate |
| Functional Title | |
| Department | Psychology |
| Salary Range | Commensurate with experience |
| Pay Basis | Monthly |
| Position Status | Regular full-time |
| Location | Richardson |
| Position End Date (if temporary) | |
| Posting Open Date | 10/25/2022 |
| Posting Close Date | |
| Open Until Filled | Yes |
| Desired Start Date | 11/07/2022 |
| Job Summary | Your Career Starts Here! Apply Today! The Face Research Lab (PI: Alice O’Toole) at UT Dallas invites applications for a postdoctoral scholar position, to begin in the Fall of 2022. We seek an innovative scholar with a PhD in Cognitive Science, Computer Vision, Psychology, or related fields. This lab conducts research in human and machine-based face recognition, using interdisciplinary techniques from psychology, computational modeling, and cognitive neuroscience. The research associate will contribute to a newly funded initiative to develop a test of facial identification performance to be administered to professional forensic facial examiners. The project will have theoretical, experimental and computational components. The primary focus of the work is to design and conduct facial identification experiments with (untrained) human participants, with the goal of benchmarking stimulus sets that will challenge professional face identification experts. A main focus of the project is to create a test of face recognition skills for faces of different races. We will also compare human performance to the performance of state-of-the-art computer-based face recognition systems. |
| Minimum Education and Experience | Ph.D in a related field. |
| Preferred Education and Experience | Ph.D. in psychology, cognitive science, or a field related to human perception, cognition, or computational vision. Experience in experimental design, statistics, and a background in visual cognition, face perception, or experimental psychology. Experience in Python and/or R is desirable, but not required. |
| Essential Duties and Responsibilities | Postdoc(s) will work on a collaborative project aimed at designing and developing a test of face identification skills for faces that vary in ethnicity and race. The goal of the work is to create a test that can be used to measure the skills of professional forensic face identification experts and state-of-the-art face recognition algorithms. The successful candidate(s) will join a collaborative project with computer vision scientists and engineers at the National Institute of Standards and Technology. The job will require skill with experimental design, statistical analysis (with R or python). |
| Physical Activities | |
| Working Conditions | |
| Additional Information | Research experience in a laboratory setting is required What we have to offer: UT Dallas is an Equal Opportunity Employer. We are committed to fostering, cultivating, and preserving a culture of diversity and inclusiveness. We offer an employee-friendly work environment with a comprehensive benefit package including: Competitive Salary Tuition Benefits Internal Training Medical insurance – including 100% paid employee medical coverage for full-time employees Dental Insurance Vision Insurance Long and short-term disability Retirement Plan Options Paid time off Paid Holidays All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. About UT Dallas The University of Texas at Dallas is committed to graduating well-rounded members of the global community whose education has prepared them for rewarding lives and productive careers in a constantly changing world. A diversity of people, ideas and perspectives is crucial to our vision and mission. A charter member of SEA (STEMM Equity Achievement) Change, UT Dallas is a place where members of the community are welcomed, treated fairly, and encouraged to their pursuit of excellence. What You Should Know UT Dallas is ranked among the “Best of the Best Colleges” for LGBTQ Inclusion by Campus Pride. The Office of Diversity, Equity and Inclusion hosts a variety of programs and leads initiatives toward efforts to cultivate a culture of equity and belonging for all members of the campus community. “LilyPad” lactation facilities are located throughout campus for private use by nursing parents. The University currently supports nine Employee Resource Groups (ERGs) that are communities of faculty and staff from various identities along with advocates and allies (e.g., Black Faculty and Staff Alliance, Universal Access ERG, Military and Veteran ERG). The University of Texas at Dallas is committed to providing an educational, living and working environment that is welcoming, respectful and inclusive of all members of the university community. The University prohibits unlawful discrimination against a person because of their race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, or veteran status. Visit https://institutional-initiatives.utdallas.edu/ for more information. |
| Special Instructions Summary | Please include:
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| Important Message | 1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public. 2) UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its programs and activities, including in admission and enrollment. For inquiries regarding non-discrimination policies, contact the Director of Institutional Equity at InstitutionalEquity@utdallas.edu or the Title IX Coordinator at TitleIXCoordinator@utdallas.edu, or call 972-883-5331. |
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