University of Arkansas at Fayetteville
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Postdoctoral Fellow in Machine Learning, Computer Vision, Multimodal AI, Healthcare, and Robotics University of Arkansas, Fayetteville in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Fixed-term postdoctoral position with salary commensurate with education and experience. Benefits are eligible. The university notes tuition waivers for employees and their families as part of its general benefits package, but no stipend amount is stated.
Deadline
Oct 19, 2026
Country
United States
University
University of Arkansas at Fayetteville
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About this position
University of Arkansas, Fayetteville is advertising a Post Doctoral Fellow in the Electrical Engineering and Computer Science area, with research tied to the Artificial Intelligence and Computer Vision Laboratory.
The position sits at the intersection of machine learning, computer vision, multimodal AI, healthcare, and robotics. The fellow will contribute to multiple active research projects, help manage the research lab, mentor students, and support future grant writing and funding efforts.
Eligibility: applicants must have a PhD in Computer Science, Computer Engineering, Robotics, or a related field by the start date. Preferred candidates will have a strong research record, especially first-author publications in top venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICRA, or MICCAI, plus strong programming skills and the ability to independently design and execute research.
Funding and terms: this is a fixed-term project/grant position with salary commensurate with education and experience. Benefits are eligible. The posting also notes annual renewal may be possible depending on need, funding, and performance.
Location: Fayetteville, Arkansas, United States.
Deadline: closing date is 2026-10-19.
How to apply: submit materials through the University of Arkansas System Career Site/Workday portal. Required documents are a CV and three professional references; do not email the recruitment contact.
Funding details
Fixed-term postdoctoral position with salary commensurate with education and experience. Benefits are eligible. The university notes tuition waivers for employees and their families as part of its general benefits package, but no stipend amount is stated.
What's required
PhD degree in Computer Science, Computer Engineering, Robotics, or a related field must be conferred by the start of employment. Preferred qualifications include a strong research background in machine learning, computer vision, and/or robotics, a strong publication record with first-author papers at top venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICRA, MICCAI, or comparable conferences/journals, strong programming skills, and the ability to independently formulate research problems, develop methods, conduct experiments, and prepare high-quality publications. Excellent written and verbal communication skills are required. Applicants must have proof of legal authority to work in the United States on the first day of employment.
How to apply
Apply through the University of Arkansas System Career Site/Workday portal. Upload a CV and a list of three professional references; optional proof of veteran status may also be uploaded. Do not send materials to the recruitment contact email.
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