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Post Doctoral Fellow, UD Institute Data Science

Listing for: 1000scholars
Full Time position Listed on 2026-11-05
Job specializations:
  • Research/Development
    Postdoctoral Research Fellow, Research Scientist, Biomedical Science, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR

Job Description & How to Apply Below

Position: Post Doctoral Fellow, UD Institute for Data Science
# Post Doctoral Fellow, UD Institute for Data Science University of Delaware Newark, United States Postdoctoral Natural  Language Processing Robotics Reinforcement  Learning
31 Dec 2026## About the position

University of Delaware Equal Employment Opportunity Statement The University of Delaware is an Equal Opportunity Employer which  encourages applications from Minority Group Members, Women,  Individuals with Disabilities and Veterans. The University's Notice  of Non-Discrimination can be found at http://(Use the "Apply for this Job" box below)..html

Job No: 503752

Work Type:
Staff

Location:

Newark, DECategories:
Research & Laboratory Context of Job:

We invite applications for multiple Postdoctoral Fellow positions  as part of the NSF AI Institute for Human-AI Cooperation (NSF HAIC)  (), a  $21.5 million multi-institutional research initiative across the  University of Delaware (UD), Delaware State University, University  of Florida, University of Pennsylvania (Penn), Princeton  University, and other partners, supported by a 5-year )  grant from the U.S. National Science Foundation. Postdoctoral  Fellows will actively collaborate across sites and may have joint  appointments at UD, Penn, and other partner institutions.

NSF HAIC’s mission is to develop trustworthy collaborative AI that  strengthens human expertise, shapes the future of rehabilitation  and health care, and cultivates the next generation of leaders in  AI. Postdoctoral Fellows will conduct foundational and/or applied  AI research, contributing to one or more of the three thematic  working groups:
1) Integration and extraction of actionable  information from multimodal spatiotemporal data, including  physiological signals, imagery, and natural language, via adaptive  machine learning;
2) Personalization of sequential decision making,  biophysical digital twins, and the operation of digital and  physical systems; and
3) Human-AI symbiosis, with the initial use  case of aiding in neuromuscular rehabilitation. Researchers will  collaborate with leading scholars in AI, machine learning,  robotics, reinforcement learning, and data science, accessing  state-of-the-art facilities and equipment (instrumented  biomechanical labs with wearable robotics, exoskeletons and  prostheses, leveraging extensive datasets, and harnessing  high-performance computing (HPC) systems with dedicated research  software engineers and access to NVIDIA systems engineers) that can  be leveraged depending on their role.

Postdoctoral Fellows will  become key contributors and will be provided with comprehensive  training to enhance their scientific, technical, and professional  skills and experiences through a structured mentoring plan.

While the primary location and co-mentors will be at UD,  Postdoctoral Fellows may receive joint appointments with other NSF  HAIC sites, including the University of Florida, University of  Pennsylvania, or Princeton University. Jointly appointed postdocs  will have co-mentors and access to facilities and resources at both  institutions, along with travel funding for collaborative visits to  achieve project objectives. In particular, joint UD-Penn NSF HAIC  postdocs may be housed in the General Robotics, Automation,  Sensing, and Perception (GRASP) Lab ()

and the  Wharton School () at  Penn, and may collaborate with researchers in the Perelman School  of Medicine.

These positions are supported by the U.S. National Science  Foundation under Cooperative Agreement No. 2433450. Continuation of  each position is contingent upon performance and continued  availability of these funds. Notice of non-renewal is not  required.

Major Responsibilities:
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