Optimization" group at IBM Watson Research Center, Yorktown Heights,
New York. The internship will last for about 3 months and will be
scheduled between March and October, 2012.
Candidates should be exceptional Masters or PhD students in Computer
Science and related areas, and not have already received their PhD by
the internship start date.
The successful candidate is expected to have strong interest and some
experience in one or more of the following:
+ Developing novel technologies based on AI and OR to advance the
state of the art in combinatorial optimization (e.g., Heuristic
Search, Mixed Integer Programming (MIP), Linear Programming (LP))
+ Robust parallelization of search-based algorithms (e.g., using
parallel Branch&Bound; information exchange) exploiting novel
computing architectures such as BlueGene, multi-core end-user
machines, large compute! clusters, and the Cloud
+ Advancing simulation-based optimization approaches to solve real-
world problems and to improve optimization methods themselves by,
e.g., employing techniques from Machine Learning, Local Search, and
Genetic Algorithms for automated algorithm selection and parameter
tuning
+ Applications of Optimization to Analytics, Production Modeling,
Sustainability, Systems, and Databases
Due to strict time constraints, interested candidates should
*immediately contact us* with their CV as well as names and contact
information of at least two references.
Ashish Sabharwal [ashish.sabharwal@us.ibm.com]
Horst Samulowitz [samulowitz@us.ibm.com]
Meinolf Sellmann [meinolf@us.ibm.com]
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