Postdoctoral Fellowships in Networking and Theory – Opportunities at Harvard University – Cambridge, MA – USA.

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  • Post Date: October 18, 2021
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Job Overview

Postdoctoral Fellowships in Networking and Theory

National Postdoctoral Association

School: Harvard John A. Paulson School of Engineering and Applied Sciences

Department/Area: Computer Science

Position Description

The John A. Paulson School of Engineering and Applied Sciences (SEAS) and seeks applicants for a postdoctoral fellow in Computer Science, specifically at the intersection of Networking and Theory.

Networking + Theory Postdoctoral Position

The John A. Paulson School of Engineering and Applied Sciences at Harvard University (SEAS) seeks applicants for a postdoctoral position in networking and theory. The postdoc is intended for one year but there will be funding to potentially extend it to a second year. The postdoc will receive a generous salary as well as an allocation for research and travel expenses.

We are looking for junior scientists who are especially interested in working at the intersection of networking and algorithmic theory, in areas such as programmable network architectures, data center network management, cloud computing, and algorithms for the Internet.  Example topics of interest include but are not limited to the design and analysis of sketches and filters for use in real systems, network security, network compression methods, and optimizing network performance for machine learning applications.  The ideal candidate will be interested in both building real systems and either developing algorithms and data structures or using existing, underutilized results from the theoretical literature in system design.

The postdoc is intended to work with closely with Minlan Yu and Michael Mitzenmacher, and others involved in the group focused on Systems + Theory work that they are developing, as well as possibly other Harvard faculty.

Candidates should have backgrounds in networking and/or theoretical computer science.  Candidates should demonstrate experience in working at the intersection of these areas, or otherwise demonstrate how they will be able to contribute at the intersection. The candidate will be expected to publish scholarly papers, attend internal, domestic, and international conferences and meetings, and take on a mentorship role for undergraduate and graduate students.

Harvard SEAS is dedicated to building a diverse community that is welcoming for everyone, regardless of disability, gender identity and expression, physical appearance, race, religion, or sexual orientation.  We strongly encourage applications from members of underrepresented groups.

Basic Qualifications

Candidates are required to have a doctorate or terminal degree in Computer Science or a related area by the expected start date.

Special Instructions

Required application documents include a cover letter, cv, a statement of research interests, and up to three representative papers. Candidates are also required to submit the names and contact information for at least three and up to five references.

We encourage candidates to apply by December 20, 2021, but will continue to review applications until the position is filled

.Contact Information

Annalee Mendez

Contact Email: annalee@seas.harvard.edu

Equal Opportunity Employer

Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.

Minimum Number of References Required: 3

Maximum Number of References Allowed: 5

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Detail
  • Offered SalaryNot Specified
  • Career LevelNot Specified
  • ExperienceNot Specified
  • GenderBoth
  • INDUSTRYEducation
  • QualificationDoctorate Degree (Ph.D.)
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