[CogSci] Postdoctoral training positions in deep learning at Johns Hopkins University

[Paul Smolensky]

Postdoctoral training positions in deep learning

Johns Hopkins University

Training in deep neural network modeling is available through two postdoctoral research positions at Johns Hopkins. The focus is on research integrating neural and symbolic methods for AI and computational linguistics, in collaboration with researchers at Johns Hopkins University and Microsoft Research AI. Applicants need not have experience with neural network modeling but should have (i) background in a topic-relevant area such as language, reasoning, or other AI domain, and (ii) general technical experience in computing, and a readiness to commit to quickly getting up to speed in the practice of deep learning research within an intellectually stimulating environment of researchers working on related problems.

Candidates will need to have in hand a PhD in a relevant field upon starting a postdoctoral position at a mutually agreed upon date.

Applications will be considered as they are received until the positions are filled. Applications should be sent to GSCpostdoc at jhu.edu <mailto:GSCpostdoc at jhu.edu>. PLEASE NOTE that an application will consist of: (1) a letter explaining (i) the applicant’s interests in deep learning, and in particular in neural/symbolic approaches, (ii) relevant knowledge and skills that the candidate would bring to research in this area, as well as (iii) the training they seek to obtain from the position; (2) a research statement; (3) a CV with links to publications; and (4) the names, affiliations and email addresses of 3 referees who may be contacted by the search committee.
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