Carnegie Mellon University’s new CoRe Safe AI has an opening for a postdoctoral position on Conceptual Research on Safe AI. Research for this position focuses on developing conceptually new approaches to AI safety, informed by the latest advances but with an eye towards the future. The aim is to identify important aspects that are not yet visible today but that we should expect in the (possibly near) future.
The ideal candidate has demonstrated interest and ability to contribute to such topics. A variety of backgrounds and focus areas are potentially appropriate; strong backgrounds in fields including for example AI safety and alignment, decision theory and game theory, formal epistemology, and learning theory are all relevant. (It is not required to have a background in every one of these fields, and both experimental and theoretical methods are in scope.) Previous work on, or closely related to, the specific topics above is also highly desirable.
The successful candidate is able to quickly get into new research areas and will be responsible for actively engaging in novel research questions, as well as publishing and communicating research results. The candidate will also take a broader role in CoRe Safe AI, including collaborating with and possibly advising other members, and generally participating in and contributing to activities in the lab.
We expect the position to last 1 or 2 years (in the latter case, conditional on satisfactory review); it may be possible to extend the position beyond that. The starting date is flexible; please indicate constraints or preferences.
PhD in Computer Science or related field such as Philosophy, Economics (Theory), or Mathematics.
Applications should be uploaded to the interfolio website and must include a curriculum vitae, publication list and a statement of research interests. In addition, candidates should arrange for at least three letters of recommendation to be uploaded (a prompt will be sent automatically to the applicant’s references when their contact information is entered at the interfolio site). Applicants are also welcome to submit working papers (if these are not already linked from the candidate’s website). We will consider applications on a rolling basis.
Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.
At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice. We have been working with the Department of Defense, government agencies, and private industry since 1984 to help meet mission goals and gain strategic advantage.
