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Postdoctoral fellow

Carnegie Mellon University, School of Computer Science

Application Deadline: Until position has been filled.

The School of Computer Science at Carnegie Mellon University has a post-doctoral opening to work on an interdisciplinary project focused on the development and evaluation of methodologies and best practices designed to support privacy and AI threat modeling and mitigation. The project takes a user-focused perspective to modeling, identifying and mitigating threats and will initially focus on threats associated with inadequate support for notice and choice. The project will be informed by threat modeling frameworks such as LINDDUN as well as work on the design and evaluation of effective privacy notices and choices, extending this work to new threats associated with AI. This work will be co-led by Prof. Lorrie Cranor and Prof. Norman Sadeh.

The successful candidate will have a PhD in computer science, information science or a related discipline. The ideal candidate will have a background in usable privacy or security as well as a general understanding of AI and a general interest in public policy and ethics. Preference will be given to candidates who also have some familiarity with threat modeling frameworks such as LINDDUN and/or privacy-by-design concepts.

Candidates are expected to be capable of working under limited supervision, be well organized and have strong communication skills. They are also expected to have experience collaborating with others in the context of large-scale research projects. Actual work is expected to involve a mix of conceptual design, prototyping, and empirical evaluation with a particular focus on human subject experiments. The successful candidate is expected to publish papers in top-tier conferences and journals along with other faculty and students.

Initial appointments will be for one year with option of renewal for an additional one or two years subject to performance and availability of funding. The start date is negotiable with a preference for people who can start in early Fall 2023. Carnegie Mellon offers competitive salaries and benefits.

To be considered for this position, interested candidates should forward their resume along with the names of 3 references to:

Ms. Linda Moreci

S3D – School of Computer Science

5000 Forbes Avenue

Pittsburgh, PA 15213-3891 - USA

Tel: +1-412-268-9934


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