IBM Research is pleased to announce the 2008 Summer Intern Program in
Computer Science, Electrical Engineering, and Mathematical Sciences at its
United States locations. We are seeking highly motivated graduate and
undergraduate students who are interested in pursuing an exciting summer
of research, prototyping, and exploring new frontiers of these and related
disciplines. Students will have the opportunity to work closely with an
outstanding research team on challenging problems that range from
leading-edge exploratory work to real-world systems and applications. With
a summer internship, students can experience the dynamic technical
environment of the largest industrial research organization in the world
and network with other top students from many different fields and
universities.
In Computer Science, positions will be available in the following areas:
- Algorithms and Theory
- Multimedia
- Artificial Intelligence
- Natural Language Processing
- Communications and Networking
- Operating Systems
- Computational Biology and Medical Informatics
- Performance Modeling and Analysis
- Computer Architecture
- Programming Languages and Software Engineering
- Distributed and Fault-Tolerant Computing
- Security and Privacy
- Graphics and Visualization
- Service Science
- Human Computer Interaction
- Services Computing
- Information Management
- Storage Systems
- Knowledge Discovery and Data Mining
- Supercomputing
- Mobile Computing
- User Interface Technologies
- Web
To apply for a summer internship, please visit
http://www.research.ibm.com/about/career.shtml with links to summer
internship opportunities at the graduate and undergraduate level in
Almaden (California), Austin (Texas), Cambridge (Massachusetts), and
Yorktown Heights and Hawthorne (New York).
For information on our research, please see
Computer Science:
http://www.research.ibm.com/compsci
Please do NOT send me any resumes. Summer intern applications must go
through the appropriate job posting on the web site listed above.
Dr. Arcadia Kocybala
CS/EE/Math
IBM Research