Postdoctoral Scholar (AI UX Design/HCI Expert)-Pediatrics Research
At a glance
Mid-level AI Research role at University of Tennessee. Memphis · full-time · no salary stated · we estimate $135,000–$232,000 across the United States.
University of Tennessee has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build the software for the interface and dashboard, then study how well the agentic AI system supports health research
- Interview users, map their workflows and involve them in shaping journeys, wireframes, prototypes and AI interfaces
- Refine AI and machine-learning models, working with technical teams to turn user needs into accessible software
- Assess usability, effectiveness, accessibility, trust and satisfaction, then document findings and design decisions
- Mentor students and junior researchers, and prepare research papers, reports, presentations and grant applications
What you bring
- A doctorate in a relevant field such as computer science, HCI or medical informatics
- Strong quantitative and analytical skills, with expertise in AI, machine learning, causal modeling and knowledge graphs
- A publication record in leading journals and conferences in the field
- Strong interpersonal skills and clear written and spoken communication
Who this fits
This role suits a postdoctoral researcher combining AI expertise with user-centered design and evaluation. The position is temporary and grant-funded through February 28, 2027. Occasional evening or weekend work and overnight travel may be required.
From the employer
THIS IS A TEMPORARY GRANT-FUNDED POSITION FUNDED UNTIL FEBRUARY 28, 2027
The Postdoctoral Scholar with expertise in AI, user experience, and human-centered design, will design and implement the software underlying the user interface and dashboard, as well as conduct research and systematic evaluation of the effectiveness, efficiency, usability, and user satisfaction of an agentic AI system for improving clinical and population health research.
Designs and builds cutting-edge solutions based on Explainable AI.
Conducts user-centered design activities, including interviews, workflow analysis, and participatory design.
Designs user journeys, wireframes, prototypes, dashboards, and AI-enabled interfaces.
Finetunes and optimizes designed/implemented AI/ML models.
Translates user needs into intuitive, accessible software solutions with technical teams.
Evaluates usability, effectiveness, accessibility, trust, and user satisfaction.
Develops human-AI interaction approaches to improve transparency, trust, and adoption.
Documents user requirements, design specifications, and evaluation findings.
Mentors students and junior researchers in UX and usability methods.
Prepares manuscripts, reports, presentations, and grant applications.
Performs other duties as assigned.
Ph.D. in a relevant discipline (e.g., Computer Science, Human-Computer Interaction, Software Engineering, Medical Informatics, Mathematics, etc.)
Strong track record of quantitative and analytics mastery, and expertise in Artificial Intelligence, Machine Learning, Causal Modeling, and Knowledge Graphs. Track record of publications in top journals and conferences in the field. Outstanding interpersonal skills and written and verbal communication capabilities.
WORK SCHEDULE: This position may occasionally be required to work weekends and evenings. May require occasional overnight travel.