Part time Research Assistant, School of Science & Engineering
About The Position
This appointment will serve as a Specialist for the AI-enforced Oral Health Project. The responsibilities will include: · Supporting the design, development, and testing of the AI-enabled oral health application. · Implementing and refining AI-driven data processing and recommendation modules for personalized health guidance. · Assisting in data preparation, quality control, and analytics to enhance predictive accuracy. · Collaborating with the team to document system architecture, model performance, and user interaction insights. · Other Duties as Assigned This short-term appointment for four months at 38% FTE (15 hours per week approx.) will focus on prototype enhancement and analytics support for the AI component of the Oral Health project.
Requirements
- strong expertise in software engineering, artificial intelligence, and data-driven application design
- Neuro-Symbolic AI skills-combining deep learning with knowledge graph reasoning and domain knowledge representation-are strongly preferred.
- Ideal candidates will hold or be pursuing a Ph.D. or master's degree in Computer Science, Software Engineering, or a related discipline, with experience in machine learning frameworks, backend system development, and applied AI systems.
Nice To Haves
- Prior work in healthcare informatics or AI-assisted clinical decision-making will be advantageous.
Responsibilities
- Supporting the design, development, and testing of the AI-enabled oral health application.
- Implementing and refining AI-driven data processing and recommendation modules for personalized health guidance.
- Assisting in data preparation, quality control, and analytics to enhance predictive accuracy.
- Collaborating with the team to document system architecture, model performance, and user interaction insights.
- Other Duties as Assigned
Benefits
- This position is not eligible for University benefits.
- Individuals in non benefit eligible positions may choose to participate in the Tax Deferred Annuity Plan (403b).
- For information about this plan, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits.
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
Industry
Educational Services
Number of Employees
5,001-10,000 employees
