Fully-funded Ph.D. position(s) in analysis and transformations of Deep Learning programs in New York City (deadline Dec 15)

by Raffi Khatchadourian, Oct. 20, 2022

I am currently seeking (potentially multiple, fully-funded) Ph.D. students interested in programming languages and software engineering research for an NSF-funded project on analysis and transformations for (imperative) Deep Learning (DL) programs.

Fully-funded Ph.D. student position(s) in analysis and transformations of Deep Learning programs in New York City (Deadline Dec 15)

I am currently seeking (potentially multiple, fully-funded) Ph.D. students interested in programming languages and software engineering research for an NSF-funded project on analysis and transformations for (imperative) Deep Learning (DL) programs. The project—based in the heart of New York City—focuses on enhancing the robustness, increasing run-time performance, and facilitating the long-lived evolution of DL systems, particularly, large, industrial DL systems.

Potential research topics explored during the course of the project may include (static/dynamic) program analysis and transformation (e.g., automated refactoring) and empirical software engineering. Successful candidates will be expected to work on projects that generally yield open-source developer tool research prototypes, plug-ins to popular IDEs, build systems, or static analyzers. Applicants may find additional information on the PI's web page (http://cuny.is/khatchad). They should also apply to the City University of New York (CUNY) Graduate Center (GC) Ph.D.  program in Computer Science (deadline December 15) following a discussion with the PI.

Interested students may refer to the post on the PI's website (https://bit.ly/3yTuI5a). Interested students are encouraged to complete the form at the bottom of the post.