A two-year postdoctoral position (with a potential for renewal) is available for an exciting collaborative project titled "Community Responsive Algorithms for Social Accountability." The project is led by researchers from the University of Houston (UH) Dept. of Computer Science, UH Dept. of Political Science, and the UH Law Center. The hired candidate will be located in the Computational Biomedicine Lab at the Dept. of Computer Science.
The position entails innovative research on fairness, explainability, robustness, privacy, security, and other aspects of AI Accountability. Specifically, the role seeks to determine how standards can be established for evaluating the accountability of public policy algorithms. The project's broader goal is to develop an Algorithm Accountability Benchmark (AAB) and the associated processes and tools for scoring software used in the public policy along the benchmark dimensions. The development and explication of specific standards through the AAB will provide a clear touchstone for developing, evaluating, and implementing algorithms in the public policy sphere.
What we are looking for:
- A Ph.D. in a relevant discipline
- A strong understanding of Machine Learning and Artificial Intelligence
- Proven interest in AI Accountability, Responsible AI, Trustworthy AI, and AI Ethics
- Ability to manage own academic research and associated activities
- Fluent communication skills (written and oral) in English
Application process: For consideration, please submit your application preferably in one single PDF document, including a cover letter, a full CV, a statement of research interests and career goals, and the names and email addresses of three references to firstname.lastname@example.org, with the subject line "CRASA Application: (your name)." Application reviews will be conducted as the applications arrive. Final selections will be based on an online interview with a panel of researchers.
The compensation is very competitive. For more information, please email Prof. Kakadiaris (email@example.com).