Publisher
source

University of Arizona

Student Research Position in AI Evaluation for Clinical Screening Assistants (Undergraduate/Graduate) University of Arizona in United States

Degree Level

not provided

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

University of Arizona

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Electrical Engineering
Information Technology
Artificial Intelligence
Computer Vision
Python Programming
Medical Science
Salud Pública
Medical Screening
Open-source Software
Large Language Models

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About this position

Student Research Position at the University of Arizona, College of Medicine - Tucson, Department of Radiology and Imaging Sciences.

This opportunity is for an undergraduate or graduate student interested in AI, machine learning, computer vision, chatbots, and clinical screening. The project is titled AI Evaluation Framework for Clinical Screening Assistants and is led by Fakrul Islam Tushar, PhD, Assistant Professor.

The work focuses on developing and evaluating chatbot-style AI assistants for lung cancer screening within a programmable virtual imaging trial framework built on iTRIALSPACE. Student work includes building prototype screening assistants, developing evaluation pipelines, implementing benchmark tasks and prompt-based testing protocols, and designing usability and consistency metrics. There is also an open-source component involving documentation and software release support.

Desired background includes students in ECE, Computer Science, Biomedical Engineering, Data Science, or related fields. Strong Python programming is required, and familiarity with machine learning, large language models, computer vision, GitHub, or Docker is a plus.

This is a summer student-worker role with an expected commitment of 10 to 20 hours per week. The post notes that there may be an opportunity to continue into the academic year depending on progress and mutual interest.

To apply, send a CV and a 300-word cover letter explaining your motivation to [email protected]. Use the subject line: YourName_Applied for Student Work (XAI Chatbots). Applications are reviewed on a rolling basis.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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