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  Ph.D. Position in AI Accountability Project at the University of Houston

   Computer Science

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  Prof Ioannis Kakadiaris , Dr Haileleol Tibebu  Applications accepted all year round  Funded PhD Project (Students Worldwide)

About the Project

The Computational Biomedicine Lab at the University of Houston is offering a Ph.D. position in AI Accountability as part of the Community Responsive Algorithms for Social Accountability (CRASA) project. Learn more about CRASA at

The successful candidate will collaborate with Prof. Ioannis A. Kakadiaris and Dr. Haileleol Tibebu, focusing on research that explores accountability architectures for AI algorithms.

The objectives of this project are (i) to co-develop an algorithmic accountability benchmark with the community and (ii) to assess software used in public policy across various dimensions of this benchmark.

We seek a motivated candidate with a Computer Science, AI, or Data Science background. The individual should be able to think innovatively, contribute to research collaborations, and actively participate in the co-design of accountability measures within AI technology.

The focus of the research:

• Development of an AI accountability benchmark.

• Evaluation of AI software used in public policy.

• Presentation of findings in both written and oral forms.

• Active contribution to the co-design of accountability measures with the community.

• Collaborative research with project supervisors and fellow researchers.

General admission criteria:

• A bachelor’s degree (or equivalent) in Computer Science, AI, digital ethics/philosophy, or Data Science.

• Strong analytical and problem-solving skills.

• Good collaboration abilities and communication skills.

• A commitment to scientific research.

• A proven interest in AI Accountability and its societal implications.

• Having prior experience with publishing is advantageous.

Interested applicants must compile the following documents into a PDF file saved as [CRASA_PhD_YourName].

- Curriculum Vitae

- Why are you interested in this project and,

- Name and contact detail of two references.

The PDF file should be at most three pages. Please email your application to [Email Address Removed] and cc’d [Email Address Removed]. For any questions regarding the position, please get in touch with Prof. Ioannis Kakadiaris.

The University of Houston is an Equal Opportunity Employer. Women, minorities, veterans, and persons with disabilities are encouraged to apply.

PLEASE NOTE: Applications for this scholarship will close once a suitable candidate has been selected. We advise that you apply as soon possible.

Computer Science (8)


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