Open Postdoctoral Research Position in Programming Languages and
The Laboratory for Programming Languages Research at the University
of Maryland (PLUM) is offering a post doctoral research position
in programming languages, with an emphasis on language-based
security and program analysis.
The PLUM lab is
directed by Professors Mike
Foster, and David
Van Horn. With around a dozen active PhD students and
several post-docs, the lab provides an engaging and
collaborative environment in which to work. The group's work
spans almost all areas of programming language research,
spanning theoretical and practical investigations, with particular
emphasis in the areas of security, program analysis, synthesis,
verification, and incremental computation, among others. For more
information about PLUM, please visit http://www.cs.umd.edu/projects/PL/
For this post-doc position, familiarity with analysis (static or
dynamic) of Java(-like) programs is beneficial, but not
required. The hired researcher would be expected to take a
leadership role in one of several ongoing projects; contact Mike
Hicks for further details (via email@example.com). Requirements
Founded in 1856, University of
Maryland, College Park is the flagship institution in the
University System of Maryland. Our 1,250-acre College Park campus is
just minutes away from Washington, D.C.
- Interested candidates should send (to Mike Hicks) their CV along
with the names of (at least) two references who can
write letters, if asked, in support of the applicant.
- Applicants to this position must have received their PhD, or
completed the requirements for their PhD, when the appointment
- Applications should be received by March 15, 2017 for best
consideration. The position will remain open until filled.
- The start date is September 1, 2017 (negotiable), and will
last for 1-3 years, depending on funding availability and
preferences of the applicant.
The University of Maryland, College Park actively subscribes to a
policy of equal employment opportunity, and will not discriminate
against any employee or applicant because of race, age, sex, color,
sexual orientation, physical or mental disability, religion,
ancestry or national origin, marital status, genetic information, or
political affiliation. Minorities and women are encouraged to apply.