Post Doctoral Fellow, UD Institute for Data Science

• →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.
  
  

• 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.
  
  

• 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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