DIMACS invites applications for a postdoctoral position that will be joint with the Institute for Advanced Study (IAS) in Princeton, NJ. Applicants should be recent Ph.D.’s with interest in theoretical computer science and discrete mathematics. Research areas include but are not limited to: computational complexity, algorithms, optimization, cryptography, combinatorics, graph theory, and discrete probability. This is a two-year position with the first year (2017-2018) spent at IAS and the second year (2018-2019) spent at DIMACS.

Applications are due December 1, 2016 for full consideration.

Applicants must apply to both DIMACS and IAS. [DIMACS application and information] [IAS application information]

DIMACS is seeking a motivated postdoctoral researcher for a one-year position at Rutgers. The position is associated with an NSF-funded project developing models of anomaly detection in multi-layer networks. The ideal candidate will have a background in computer science, physics, mathematics, engineering, or related field, and experience in network science research. Strong programming and analytical skills are mandatory. The project is a collaboration with the University of Tennessee and Bar-Ilan University.

Applications are due by December 15, 2016 for full consideration.

The Simons Collaboration on Algorithms and Geometry invites applications for two-year postdoctoral positions at various institutions, including Rutgers University/DIMACS. Applicants should be recent Ph.D.’s with interest in theoretical computer science and/or discrete mathematics. Candidates interested in applying for this position at Rutgers should contact Professor Mike Saks (saks at math.rutgers.edu) for details.

Applications are due by December 1, 2016 for full consideration.

[Application and information] (Applications for this position are through the same job posting as the IAS/DIMACS position.)

The Department of Computer Science at Rutgers University seeks applications for a two-year postdoctoral position in the area of theoretical machine learning. Candidates with a strong background and research experience at the intersection of machine learning and theoretical computer science are invited to apply. Candidates should have a strong publication record at venues such as COLT, ICML, and NIPS. For further details send an email to Professor Pranjal Awasthi (pranjal.awasthi at cs.rutgers.edu).

Applications are due by January 1, 2017 for full consideration.

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Document last modified on November 22, 2016.