- Ph.
- A minimum of two first author papers published or accepted in a peer-reviewed journal
- A firm background in behavior, statistics, and data analysis
- Experience with machine learning, especially as applied to computational vision problems is a plus, but not required
- Experience with programming (Python and/or R), as well as statistical knowledge is highly preferred
- Direct a wide variety of experiments and machine learning simulations
- Evaluation and interpretation of machine learning data
- Conduct machine learning experiments using state-of-the-art algorithms
- Supervise undergraduate research
- Apply statistical methods and procedures for the analysis and characterization of the representations produced by the algorithms
- Other duties as assigned
- Experience with machine learning, especially as applied to problems in computational vision
- Creative thinking skills and a predisposition for problem-solving
- Experience with programming (Python and/or R)
- Statistical knowledge pertaining to the multivariate data analysis
- Ability to work collaboratively with excellent oral and written communication skills
- Strong proficiency in the English language (both written and verbal)
- 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
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Post-Doctoral Research Associate - Richardson, United States - University of Texas at Dallas
Description
Posting Number S05621P Position Title Post-Doctoral Research Associate Functional Title Department Psychology Salary Range up to $56,484, DOQ Pay Basis Monthly Position Status Regular full-time Location Richardson Position End Date (if temporary) Posting Open Date 04/30/2024 Posting Close Date Open Until Filled No Desired Start Date 06/01/2024 Job SummaryDr.
Alice O'Toole is seeking a highly motivated post-doctoral scientist to work on a federally funded project aimed at developing, implementing, and analyzing face identification tests for forensic examiners and machines.
The project involves using the output data from machine learning models of face identification to compile sets of face identification images to be used for testing purposes.
The Research Associate will plan, conduct, and direct a wide variety of experiments and simulations using advanced equipment and applying complex techniques, methods, and procedures.
They're responsible for the evaluation and interpretation of research data, for planning and executing the details of experiments according to research protocol, and for writing research papers.
The successful applicant to this position will conduct machine learning experiments using state-of-the-art algorithms. They will apply statistical methods and procedures for the analysis and characterization of the representations produced by the algorithm. They will also supervise undergraduate research and work collaboratively in an interdisciplinary team. We will provide ample opportunities to learn new techniques in the lab. We welcome trainees who want to pursue independent funding. Our lab is a collaborative and interdisciplinary group that works extensively with computer vision labs at Johns Hopkins University.This position is in the department of Psychology in the School of Behavioral and Brain Sciences at The University of Texas at Dallas ).
UTD is the fastest growing University in Texas, is ranked number 3 in the nation among universities less than 50 years old and houses a vibrant behavioral and brain sciences research community.
The city of Dallas is an international economic hub with a vibrant cultural atmosphere and world-class sports and entertainment in a temperate climate.
Minimum Education and ExperiencePh.
D in a related field.
Preferred Education and Experience
Duties & Responsibilities:
Essential Knowledge, Skills & Abilities:
Travel:
This position may be subject to occasional travel to participate in conferences and other project needs.
What We Can Offer
UT Dallas is an Equal Opportunity Employer.
We offer an employee-friendly work environment with a comprehensive benefit package including:
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 Us
UT Dallas is a top public research university located in one of the nation's fastest-growing metropolitan regions. Our seven schools offer more than 140 undergraduate and graduate programs, plus professional certificates and fast-track programs. Our student body is 31,000 strong, reflecting students from over 100 countries and a multiplicity of identities and experiences.
UT 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.
The University has a variety of programs and initiatives to support engagement and success for all members of the campus community.
There are several Employee Resource Groups (ERGs) comprised of individuals who share common interests to help build community among UT Dallas faculty and staff (e.g., Universal Access ERG, Military and Veteran ERG, UT Dallas Young Professionals).
Rich with visual and performing arts venues, museum districts, professional and semi-professional athletics teams, botanical gardens, accessible trails and so much more, the Dallas-Fort Worth (DFW) metroplex has something for everyone to explore.
UT Dallas partners with regional higher education institutions and school districts and with the Richardson Innovation Quarter (Richardson IQ), a major hub for innovation, entrepreneurship, and educational activities.
Special Instructions SummaryImportant 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) 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.
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 services, programs, activities, employment, and education, including in admission and enrollment.
EOE, including disability/veterans. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.
