A postdoctoral fellow position is available immediately in the general
areas of distributed and scalable machine learning, security, and fault
tolerance in distributed computing within the Department of Computer
Science at the University of Houston, Houston, USA.
The fellow will work under the supervision of Prof. Gopal Pandurangan (
https://www2.cs.uh.edu/~gopal) and Prof. Rakesh Verma (
https://www2.cs.uh.edu/~rmverma/) <https://www2.cs.uh.edu/~rmverma/>.
Experience in prior work in machine learning, distributed algorithms, and
networks, as evidenced by publications in top conferences such as NeurIPS,
ICML, SODA, FOCS, STOC, and PODC, is desired. All recent PhDs (or those
nearing completion) who work in theoretical areas are especially encouraged
to apply.
The initial appointment will be for one year, with the possibility of
renewal for an additional year based on performance and the availability of
funds. Salaries are competitive and are determined according to the
successful applicants' accomplishments, experience, and qualifications.
Travel funding is available.
The candidates should send their CV, a brief research statement, and
(request referees to forward) three letters of recommendation to Gopal
Pandurangan (gopalpandurangan@gmail.com). Review of applicants will begin
immediately and continue until the position is filled.
The University of Houston is a major research university located in
Houston, the fourth-largest city in the USA, and has one of the most
vibrant metropolitan areas. Houston is the epicenter of the energy
industry, features the largest medical center in the world, and hosts the
Johnson Space Center. Houston is a fast-growing, multicultural, diverse,
and affordable city known for its museums, art events, and sports teams.
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