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Postdoc in Machine Learning in Boston, MA

The Department of Computer Science at Boston College invites applications for one postdoctoral position in any of the following areas:

parallel and distributed algorithms/optimization, proximal algorithms, convex and non-convex optimization, machine learning, statistics, graphical models, information theory, and related areas.

Start date after July 2019, but flexible.

Duration up to 2 years. The postdoc will have the freedom to shape his/her project. Current and past projects can be found at Candidates are encouraged, but not required, to work on two major projects underway: one pertaining the comparison of large networks, and the other one dealing with machine learning problems that arise from biology research on the emergence of antibiotics resistance.

Required qualifications:

– Ph.D. in computer science, statistics, operations research, or applied mathematics. Applicants with a Ph.D. in Physics, Mathematics, Economics, and Biology are encouraged to apply, if proficient in some of the areas aforementioned.

– Advanced coursework in mathematics, statistics, optimization, machine learning, and signal processing

– Previous publications in top conferences in ML, AI, optimization, statistics, information theory, and related fields.

– Experience mentoring or supervising graduates students

Applicants should submit the following via email to

– A letter with a short research statement explaining the applicant’s interest in and suitability for the position

– A CV (with references of all publication)

– Names, affiliations, and email addresses of at most 3 references. Reference letters mentioning the applicant’s name can also be directly sent to

PS: If you’re attending ICML 2019, we can chat there ! Just email me at

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