Job Type
Full-Time
Salary
Commensurate with experience
Hours per Week
40 hours
Hiring Department
College of Engineering – Electrical and Computer Engineering
Required Application Materials
A single PDF or Word document containing a resume, letter of interest, and a list of three (3) professional references is required to apply.
Important Instructions:
When prompted to upload your “resume”, upload your combined documents as one file.
· Please do not upload documents to “Cover Letter” or “References”.
If the required application materials were not uploaded at the “resume” prompt, please withdraw your application, and re-apply to upload your combined documents as one file.
Job Summary
The Postdoctoral Fellow will work with Dr. Prabha Sundaravadivel and other members of the CeRIS team on an interdisciplinary research project related to computer vision and aerial robotics in agriculture. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with scientists at the USDA-ARS Crop Production Systems Research Unit, Stoneville, MS to collect data during the cropping season. This position will oversee research and research staff within the department. The initial appointment is for one year, renewal is expected if progress is satisfactory, and funds are available.
Major Responsibilities/Duties/Critical Tasks
- Help design and conduct research within a specified field.
- Receive advanced training from a designated Principal Investigator.
- Responsible for leading a project (in vitro and in vivo).
- Operate specific equipment within the Chemistry lab.
- Teach techniques to others within the department.
- Train and supervise junior research staff including students.
- Other duties as assigned.
Required Education/Experience
- Ph.D. in Computer Science / Computer Engineering / Electrical Engineering
Accompanying Knowledge, Skills, Abilities, and Competencies
- Excellent track record of research and publications related to the job description.
- Excellent programming skills (Python is required, ROS, C# and C++ are desired).
- Fluent in English.
- Experience with sensing technologies, computer vision, and perception.
- Excellent scientific writing ability and strong oral communication skills.
- The ability to work effectively and collegially with colleagues.
About The University of Texas at Tyler
The University of Texas at Tyler is part of the prestigious University of Texas System that includes 13 institutions located throughout the state. Founded in 1971, UT Tyler today enrolls 10,000 students and consists of six colleges.
Our beautiful Tyler campus features more than 200 acres nestled along a lake and surrounded by thick pine and oak forests, providing a picturesque location for study and recreation. We also offer instructional sites at The University of Texas Health Science Center at Tyler and in Palestine, Longview, and Houston.
With more than 80 bachelor's, master's and doctoral degree programs offered, UT Tyler provides a wealth of learning opportunities and dynamic programs.
For more information, please visit https://www.uttyler.edu/about/.
Additional Information
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
This position is security-sensitive and subject to Texas Education Code Section 51.215, which authorizes the employer to obtain criminal history record information. Applicants selected must be able to show proof of eligibility to work in the United States by time of hire.
EEO/AA Statement
The University of Texas at Tyler is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, status as a protected veteran, among other things, or status as a qualified individual with a disability. Women, minorities, protected veterans, and individuals with disabilities are encouraged to apply.