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University of Delaware

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Postdoctoral Fellow in AI, Machine Learning, Robotics, and Data Science University of Delaware in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral Fellow positions supported by a 5-year NSF grant (2026-2031) under Cooperative Agreement No. 2433450. Positions are funded by the U.S. National Science Foundation; continuation depends on performance and availability of funds. Joint appointments may include travel funding for collaborative visits.

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Country

United States

University

University of Delaware

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Keywords

Computer Science
Data Science
Biomedical Engineering
Mechanical Engineering
Electrical Engineering
Mathematics
Artificial Intelligence
Natural Language Processing
Neuropsychology
Reinforcement Learning
Robotics
Statistics
Physics
ML

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About this position

Multiple Postdoctoral Fellow positions are available at the University of Delaware through the NSF AI Institute for Human-AI Cooperation (NSF HAIC), a multi-institutional research initiative spanning UD, Delaware State University, University of Florida, University of Pennsylvania, Princeton University, and other partners.

The project focuses on artificial intelligence, machine learning, robotics, reinforcement learning, data science, computational neuroscience, and biomedical engineering. Research themes include multimodal spatiotemporal data analysis, personalization of sequential decision making, digital twins, and human-AI symbiosis for neuromuscular rehabilitation. Fellows may work with wearable robotics, exoskeletons, prostheses, biomedical signals, and high-performance computing resources.

The primary location is Newark, Delaware, United States, with possible joint appointments at partner institutions such as Penn, Florida, or Princeton. Joint appointees may have access to additional labs and resources, and travel support for collaborative visits may be available.

Applicants should have a Ph.D. by early 2027 in a closely related field such as computer science, data science, statistics, bioinformatics, electrical engineering, computer engineering, biomedical engineering, mechanical engineering, operations research, robotics, computational neuroscience, applied mathematics, or physics. Strong communication, problem-solving, teamwork, project organization, and rapid learning ability are expected. Preferred experience includes top-tier publications, biomedical or neuroscientific data analysis, human-subjects experiments, and dynamic modeling.

This is a funded postdoctoral research position supported by the U.S. National Science Foundation. Applications are open until filled.

Funding details

Postdoctoral Fellow positions supported by a 5-year NSF grant (2026-2031) under Cooperative Agreement No. 2433450. Positions are funded by the U.S. National Science Foundation; continuation depends on performance and availability of funds. Joint appointments may include travel funding for collaborative visits.

What's required

Applicants must have a Ph.D. degree by early 2027 in computer science, data science, statistics, bioinformatics, electrical engineering, computer engineering, biomedical engineering, mechanical engineering, operations research, robotics, computational neuroscience, applied mathematics, physics, or a closely related discipline. Strong oral and written communication skills, strong problem-solving and reasoning skills, ability to work effectively in multidisciplinary teams, ability to organize and execute research independently and collaboratively, and aptitude for learning quickly are required. Preferred qualifications include first-author publications in top-tier AI/ML/data science/CV/NLP/knowledge representation/statistics/applied mathematics/robotics venues, experience with neuroscientific or biomedical data, human-subjects experiments, and dynamic modeling/biomechanics/model learning.

How to apply

Apply through the University of Delaware careers portal using the posted job number 503752. Review the full job posting and submit an application via the official application page.

More information can be found here

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