[TYPES/announce] Fully-funded Ph.D. positions in combating technical debt in Machine Learning systems in New York City

[Raffi Khatchadourian]

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 combating technical debt in
Machine Learning (ML) systems. The project—based in the heart of New
York City—focuses on facilitating the long-lived evolution of ML
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. They should also apply to
the City University of New York (CUNY) Graduate Center (GC) Ph.D.
program in Computer Science following a discussion with the PI.

For more information, please visit the following link:

https://urldefense.com/v3/__https://khatchad.commons.gc.cuny.edu/2024/05/03/multiple-fully-funded-__;!!IBzWLUs!SC_CNWZKpnuUb1jBiQdXlpPPdLTTe_s9MFL6N6fjThQb34t_Kek9rAC18D9tOo_Jn2LtaHvhwK2_eEvUy45Uu7fcoKGhWuLfBdaZX8E$ 
ph-d-student-positions-in-combating-technical-debt-in-machine-learning-
ml-systems-in-new-york-city/