Part time Research Assistant, School of Science & Engineering

Job Description

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 (approximately 15 hours per week) will focus on prototype enhancement and analytics support for the AI component of the Oral Health project.

The position requires strong expertise in software engineering, artificial intelligence, and data-driven application design. In particular, 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.

Prior work in healthcare informatics or AI-assisted clinical decision-making will be advantageous.

Applicants apply at https://(Use the "Apply for this Job" box below). To be considered, you must complete the application including Legal Name, US employment eligibility, and current contact information. Upload all application materials (a letter of interest, curriculum vitae, a list of references).

If you are experiencing technical problems during application, please email umpshrsupport.

For questions about the position, contact umkcfacultysearch, including the name of the position.

Handling of Application Materials

After initial review by the committee all uploaded materials may be shared with all faculty in the prospective home department. For affiliations and joint appointments, materials may be shared with all faculty in all departments involved.

Open until filled

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://.

The University of Missouri is an Equal Opportunity Employer.

To request ADA accommodations, please call the Office of Equity & Title IX at .