Post-Doc Opening in the area of Usable Privacy and ML/NLP School of Computer Science, Carnegie Mellon University
The successful candidate will have a PhD in computer science or a related area and have a
background in either machine learning and natural language processing or in user modeling and user-centered design – or both. Preference will be given to candidates who have done research in usable privacy and security. Prior exposure to good software engineering practices and some web application development would each also be a plus.
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 evaluations (including 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. The start date is negotiable with a preference for people who can start by May 2018 or earlier. 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: