Computer Science Department, through the Computer Forum, provides information and resources for obtaining internships and full time positions upon graduation. For the past 6 years, the Forum has partnered with the CDC to provide job resources to CS & EE students.
The Recruiting Program networks affiliated companies with Stanford CS/EE students. The Computer Forum hosts an annual Career Fair, schedules on-campus interviews, and special events where member companies and Stanford students come together to discuss employment and internships.
Subscribe to the recruiting mailing list by visiting https://mailman.stanford.edu/mailman/listinfo/recruiting.
Faculty Opening
The Department of Computer Science at Stanford University invites applications for a tenure-track faculty position at the junior level (Assistant or untenured Associate Professor). We give high priority to the overall originality and promise of the candidate's work rather than the candidate's sub-area of specialization within Computer Science.
We are seeking applicants from all areas of Computer Science, including Foundations, Systems, Artificial Intelligence, Graphics, Computer Vision and Perception, Databases, and Human-Computer Interaction. We are also interested in applicants doing research at the frontiers of computer science with other disciplines, such as biology, neuroscience, and economics, and arts, with potential connections Stanford's main multidisciplinary initiatives: Human Health, Environment and Sustainability, the Arts and Creativity, and the International Initiative.
An earned Ph.D., evidence of the ability to pursue a program of research, and a strong commitment to graduate and undergraduate teaching are required. A successful candidate will be expected to teach courses at the graduate and undergraduate levels and to build and lead a team of graduate students in Ph.D. research. Further information about the Computer Science Department can be found at http://cs.stanford.edu/. The School of Engineering website may be found at http://soe.stanford.edu/.
Applications should include a curriculum vita, brief statements of research and teaching interests, and the names of at least four references. Candidates are requested to ask references to send their letters directly to the search committee. Applications and letters should be sent to: Search Committee Chair, c/o Laura Kenny-Carlson, Stanford University, Gates Hall 278, Stanford, CA 94305-9025; or via electronic mail to search@cs.stanford.edu.
The review of applications will begin on January 9, 2008, and applicants are strongly encouraged to submit applications by that date; however, applications will continue to be accepted until the position is filled.
Stanford University is an equal opportunity employer and is committed to increasing the diversity of its faculty. It welcomes nominations of and applicants from women and minority groups, as well as others who would bring additional dimensions to the university's research, teaching, and clinical missions.
System and Network Administrator
The Computer Facilities group in the Stanford University Department of Computer Science (CSD-CF) is seeking a new system and network administrator. The CSD-CF team is responsible for providing core systems and network support to the CS Department for both administration and research activities. The CSD-CF team also provides computer system support to other departments and research labs within the University, ranging from the Stanford Artificial Intelligence Lab (SAIL) to groups in Psychology and Linguistics. This position offers a broad range of experience and opportunities for personal advancement.
Responsibilities include but are not limited to:
- Installing and maintaining Linux/UNIX servers and workstations.
- Running various core infrastructure services (HTTP, SMTP, Kerberos, AFS, NFS, LDAP).
- Maintaining network monitoring and alert systems, responding to security issues, and working with campus IT security and law enforcement officials.
- Writing system software and utilities as required.
- Maintaining building network, including core switch/routers, edge switches and wireless access points.
- Providing expertise to users/clients for hardware configuration and software purchases.
- Design, install and maintain large computer clusters and be able to assist in debugging complex system related problems with users.
Occasional after hours or weekend work will be required for emergency outages. This individual works on complex system problems where analysis requires knowledge of many diverse system components, operating systems and non-standard hardware and software that make up the ever changing computing environment of the Computer Science Department and its research groups.
Qualifications:
- Experience and in-depth knowledge of Linux/UNIX operating systems and one or more higher level system languages, such as C, python or perl.
- Understanding and familiarity with web technologies, protocols, and languages, including Apache HTTPd, SSL, PHP and Perl.
- In-depth knowledge of all aspects of email, including SMTP, IMAP, POP, server software and SPAM filtering.
- Knowledge of clustering / queuing technologies and software, including TORQUE/PBS, MPI, Myrinet, and Infiniband.
- Experience working with tools such as hardware diagnostics, network packet sniffers and utilities, and performance analysis and tuning software.
- Familiarity with Cisco IOS router / switch configuration and ethernet network concepts like VLANs, spanning tree, and hardware address filtering.
- Experience with Kerberos and AFS is preferred.
- Basic familiarity with Windows XP and Microsoft applications.
- Must have excellent oral and written communication skills.
Must be able to work independently and manage time effectively, possess strong interpersonal skills, enthusiasm for customer service, and the ability to work with users at all levels of the University.
To apply visit the Stanford Jobs posting.
King Abdullah University of Science and Technology (KAUST)
Faculty Openings in Computer Science and Applied MathematicsKing Abdullah University of Science and Technology (KAUST) is being established in Saudi Arabia as an international graduate-level research university dedicated to inspiring a new age of scientific achievement that will benefit the region and the world. As an independent and merit-based institution and one of the best endowed universities in the world, KAUST intends to become a major new contributor to the global network of collaborative research. It will enable researchers from around the globe to work together to solve challenging scientific and technological problems. The admission of students, the appointment, promotion and retention of faculty and staff, and all the educational, administrative and other activities of the University shall be conducted on the basis of equality, without regard to race, color, religion or gender.
KAUST is located on the Red Sea at Thuwal (80km north of Jeddah). Opening in September 2009, KAUST welcomes exceptional researchers, faculty and students from around the world. To be competitive, KAUST will offer very attractive base salaries and a wide range of benefits. Further information about KAUST can be found at http://www.kaust.edu.sa/.
KAUST invites applications for faculty position at all ranks (Assistant, Associate, Full) in Applied Mathematics (with domain applications in the modeling of biological, physical, engineering, and financial systems) and Computer Science, including areas such as Computational Mathematics, High-Performance Scientific Computing, Optimization, Computer Systems, Software Engineering, Algorithms and Computing Theory, Artificial Intelligence, Graphics, Databases, Human-Computer Interaction, Computer Vision and Perception, Robotics, and Bio-Informatics (this list is not exhaustive). KAUST is also interested in applicants doing research at the interface of Computer Science and Applied Mathematics with other science and engineering disciplines. High priority will be given to the overall originality and promise of the candidate's work rather than the candidate's sub-area of specialization within Applied Mathematics and Computer Science.
An earned Ph.D. in Applied Mathematics, Computer Science, Computational Mathematics, Computational Science and Engineering, or a related field, evidence of the ability to pursue a program of research, and a strong commitment to graduate teaching are required. A successful candidate will be expected to teach courses at the graduate level and to build and lead a team of graduate students in Master's and Ph.D. research.
Applications should include a curriculum vita, brief statements of research and teaching interests, and the names of at least 3 references for an Assistant Professor position, 6 references for an Associate Professor position, and 9 references for a Full Professor position. Candidates are requested to ask references to send their letters directly to the search committee. Applications and letters should be sent via electronic mail to kaust-search@cs.stanford.edu. The review of applications will begin immediately, and applicants are strongly encouraged to submit applications as soon as possible; however, applications will continue to be accepted until December 2009, or all 10 available positions have been filled.
In 2008 and 2009, as part of an Academic Excellence Alliance agreement between KAUST and Stanford University, the KAUST faculty search will be conducted by a committee consisting of professors from the Computer Science Department and the Institute of Computational and Mathematical Engineering at Stanford University. This committee will select the top applicants and nominate them for faculty positions at KAUST. However, KAUST will be responsible for actual recruiting decisions, appointment offers, and explanations of employment benefits. The recruited faculty will be employed by KAUST, not by Stanford. Faculty members in Applied Mathematics and Computer Science recruited by KAUST before September 2009 will be hosted at Stanford University as Visiting Fellows until KAUST opens in September 2009. At Stanford, these Visiting Fellows will conduct research with Stanford faculty and will occasionally teach courses.