Post Doctoral Fellow, UD Institute for Data Science

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://www.udel.edu/aboutus/legalnotices.html

Job No: 503752

Work Type: Staff

Location: Newark, DE

Categories: 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)
(https://haicinstitute.org/), 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 (2026-2031)
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 (https://grasp.upenn.edu) and the
Wharton School (https://wharton.upenn.edu/) 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:

• Participate as an integral member of a highly technical,

mission-driven research team, forging active communication among
HAIC researchers across multidisciplinary working groups and
mentoring junior members when necessary.

• Assist the team in relevant aspects of data collection, dataset

preparation, software implementation, model validation, laboratory
maintenance, cyberinfrastructure development, and documentation,
depending on the role.

• Conduct computational and/or human subjects research

experiments within the project’s scope.

• Actively participate in manuscript preparation and revision for

scientific publications aimed at top-tier conferences and
journals.

• Regularly prepare or contribute to research presentations.
• Assist in technical report writing through documentation of

research goals, milestones, issues, challenges, outcomes, and
future plans.

• Efficiently use and aid in the selection of additional

equipment and computing resources as needed.

• Assist and advise both novice and experienced researchers in

developing and completing seed projects.

• Contribute to forging new collaborations, grant writing, or

translation of intellectual property.

• Prepare workshops, tutorials, dataset challenges, outreach

materials, and education and workforce development resources
relevant to research.

• Participate in other project deliverables and dissemination

efforts.

• Perform other related duties as assigned.

Qualifications:

• 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.

• Excellent oral and written communication skills both generally

and specifically with regard to complex technical and scientific
topics.

• Strong problem-solving and reasoning skills.
• Ability to work effectively with researchers and team members

at varying experience levels.

• Ability to organize a research project, maintaining focus on

goals, tracking details, efficiently communicating on issues and
outcomes, and executing independently and in collaboration.

• Aptitude for gaining new skills and learning quickly in a

dynamic technological environment.

Desired Qualifications (at least one):

• Primary authorship in top-tier AI, machine learning, data

science, computer vision, natural language processing, knowledge
representation, statistics, applied mathematics, or robotics
conference or journal papers.

• Documented experience in the analysis of neuroscientific or

biomedical data or signals (e.g., motion capture, force plates,
EMG, or physiological signals).

• Experience with conducting human-subjects experiments,

especially involving neuroscience, biomechanics, human-computer
interaction, or brain-machine interfaces.

• Experience with dynamic modeling, including rigid body

dynamics, biomechanics, and neural mechanisms, and applying
data-driven methods to learn or identify models from empirical
data.

Notice of Non-Discrimination and Equal Opportunity

The University of Delaware does not discriminate against any person
on the basis of race, color, national origin, sex, gender identity
or expression, sexual orientation, genetic information, marital
status, disability, religion, age, veteran status or any other
characteristic protected by applicable law in its employment,
educational programs and activities, admissions policies, and
scholarship and loan programs as required by Title IX of the
Educational Amendments of 1972, the Americans with Disabilities Act
of 1990, Section 504 of the Rehabilitation Act of 1973, Title VI
and VII of the Civil Rights Act of 1964, and other applicable
statutes and University policies. The University of Delaware also
prohibits unlawful harassment including sexual harassment and
sexual violence.

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