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University of Louisville

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Fully Funded PhD in Human Factors Engineering and Human-AI Interaction at University of Louisville University of Louisville in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position.

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Country

United States

University

University of Louisville

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Keywords

Computer Science
Psychology
Biomedical Engineering
Artificial Intelligence
Industrial Engineering
Human Factors Engineering
Patient Safety
Qualitative Method
Statistics

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About this position

Fully funded PhD opportunity in Human Factors Engineering at the University of Louisville, J.B. Speed School of Engineering, Department of Industrial and Systems Engineering.

The project area focuses on human-AI interaction and human factors in healthcare, with examples including supporting non-AI experts working with imperfect AI tools, improving patient safety during care transitions, and exploring AI-assisted programming in engineering education.

Ideal applicants should have a bachelor’s degree in a related field such as Industrial and Systems Engineering, HCI, Computer Science, or Psychology. The post also asks for prior research experience and strong English writing and communication skills. Preferred preparation includes a master’s degree in a related field plus training in quantitative methods (statistics, machine learning) and qualitative methods (interviews, thematic analysis).

The position is to work with Dr. Xiaomei Wang in Louisville, Kentucky, USA. The post indicates a Spring or Fall 2027 start date and says the PhD is fully funded.

To apply, send your CV, transcripts, letter of intent, and a writing sample to [email protected]. Include your preferred start date and research area in the email subject line.

Funding details

Fully funded PhD position.

What's required

Bachelor's degree in a related field such as Industrial and Systems Engineering, HCI, Computer Science, or Psychology; prior research experience; strong English writing and communication skills. Preferred: a master's degree in a related field and training in quantitative methods (statistics, machine learning) and qualitative methods (interviews, thematic analysis).

How to apply

Email CV, transcripts, letter of intent, and a writing sample to [email protected]. Mention your preferred start date and research area in the subject line.

More information can be found here

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