Computer Science. For details please see:
http://www.ozyegin.edu.tr/Hakkimizda/Birimler-ve-Hizmetler/Insan-Kaynaklari/Is-Olanaklari/
Faculty-Positions-in-Computer-Science
saic hPc careers
SAIC, a FORTUNE 500® scientific, engineering,
and technology applications company, is currently forming a dedicated team of large and small
companies, as well as academic institutions,
to advance the goals and objectives of the Maui
High Performance Computing Center (MHPCC)
Program.
The MHPCC Program objectives include software application engineering, in scalable computing technology, image and signal processing,
large-scale data management, space physics,
open source exploitation, and other key areas of
science and engineering. SAIC is seeking experienced professionals and incumbent staff to join
our team in Maui, Hawaii.
Opportunities available in the following areas:
˲ ˲ Administrative Support
˲ ˲ Applications Engineering/Visualization
˲ ˲ Computer Center Operations
˲ ˲ Configuration Management/Quality Assurance
˲ ˲ Data Analysis
˲ ˲ Facilitie/Office Management
˲ ˲ HPC Applications Training Specialists
˲ ˲ Information Assurance/Security
˲ ˲ Project Management
˲ ˲ Safety/OSHA Compliance
˲ ˲ Software/Database Engineering
˲ ˲ System/Network Engineering
˲ ˲ Technical Publications
˲ ˲ User/ Technology Services
SAIC values the highly talented incumbent
staff currently supporting MHPCC. All inquiries
handled with strict confidentiality.
Please submit your resume at:
http://jobs.saic.com/job/Schofield-Barracks-
Maui-High-Performance-Computing-
Center-Job-HI-96857/1386209/?utm_
source=ACM&utm_campaign=
MHPCC
SAIC
© Science Applications International
Corporation. All rights reserved.
the ischool at Drexel
Full-Time Tenure-Track Faculty Positions
The iSchool at Drexel University invites appli-
cations for several tenure-track positions at
the assistant, associate, or full professor level.
We welcome applications with a wide variety of
teaching and research interests. We are particu-
larly interested in applicants in the following ar-
eas; Information Security/Cyber, Security/Foren-
sics, Archival Studies and Digital preservation &
Curation. The successful candidate will have a
completed doctorate in a related field, evidence
of excellence in teaching and research and an in-
terest in working with a highly collaborative, in-
terdisciplinary faculty. To apply for this position,
please apply online at: www.drexeljobs.com/ap-
plicants/Central?quickFind=74903 or visit www.
drexeljobs.com and search for position number
4229.
the Johns hopkins university
Tenure-track Faculty Positions
The Department of Computer Science at The
Johns Hopkins University is seeking applications
for tenure-track faculty positions. The search
is open to all areas of Computer Science, with a
particular emphasis on candidates with research
interests in machine learning, systems, information security, computational biology, and data-intensive or health-related applications.
All applicants must have a Ph.D. in Computer Science or a related field and are expected to
show evidence of an ability to establish a strong,
independent, multidisciplinary, internationally
recognized research program. Commitment to
quality teaching at the undergraduate and graduate levels will be required of all candidates.
Preference will be given to applications at the
assistant professor level, but other levels of appointment will be considered based on area and
qualifications. The department is committed
to building a diverse educational environment;
women and minorities are especially encouraged to apply.
A more extensive description of our search
Tenure-track Faculty Positions in
Computer Science at Virginia Tech
www.cs.vt.edu
Artificial Intelligence/Machine Learning Faculty Position
The Department of Computer Science at Virginia Tech invites applications for
a full-time tenure-track position at any rank from candidates with expertise in
artificial intelligence having specific emphasis on machine learning or probabilistic
reasoning. The department plans on making multiple hires over multiple years in
this area.
Candidates should have a record, appropriate to the desired rank, of scholarship,
leadership, and collaboration in computing and interdisciplinary areas;
demonstrated ability to contribute to teaching at the undergraduate and graduate
levels in AI and related subjects; sensitivity to issues of diversity in the campus
community; and the skills to establish and grow a multidisciplinary research group.
Salary for suitably qualified applicants is competitive and commensurate with
experience. Applications must be submitted online to https://jobs.vt.edu for
posting #0110872. Applicant screening will begin December 15, 2011 and
continue until the position is filled. Inquiries should be directed to Dr. Dennis
Kafura, kafura@cs.vt.edu.
Data-Intensive Computing Faculty Position
The Department of Computer Science at Virginia Tech invites applications from
candidates in data-intensive computing for a full-time tenure-track position at
any rank. Examples of research foci in the area of data-intensive computing
include, but are not limited to, streaming and sensor data management,
scientific databases, networked data management, query languages, workflow/
provenance modeling, information integration, and database designs for
modern architectures such as the cloud and pervasive appliances. The
successful candidate must be able to conduct an active research program in the
management and processing of massive data, such as arise in social networks,
biology, GIS, astronomy, text, and/or other emerging large-scale applications.
Candidates should have a record, appropriate to their rank, of scholarship,
leadership, and collaboration in computing and interdisciplinary areas;
demonstrated ability to contribute to teaching at the undergraduate and
graduate levels in data-related subjects (e.g., database design and system
architectures); sensitivity to issues of diversity in the campus community; and
the skills needed to establish and grow a multidisciplinary research group.
Salary for suitably qualified applicants is competitive and commensurate with
experience. Applications must be submitted online to https://jobs.vt.edu
for posting #0110874. Applicant screening will begin December 15, 2011
and continue until the position is filled. Inquiries should be directed to
Dr. Lenwood S. Heath, heath@vt.edu.
Assistant Professor Computer Science
(Compilers/Systems Software Engineering)
The Department of Computer Science at Virginia Tech invites applications for a
full-time tenure-track position at the Assistant Professor rank from candidates
with a research focus in the area of compilers, programming languages, or
software engineering. The department plans to strategically grow its research
presence in these areas over the coming years. Preference is given to
candidates whose research efforts lie in applied domains with relevance to
computer systems software, particularly for emerging architectures such as
many-core processors and GPGPUs.
Candidates should have a doctoral degree in Computer Science or a cognate
area, a record of significant research achievement and publication, a coherent
research and teaching plan showing the potential to secure research funding,
build a research program in their area of specialty, and contribute to the
department’s graduate/undergraduate teaching mission, and sensitivity to issues
of diversity in the campus community.
The position is part of a coordinated cluster hire of a total of five positions on
both the Blacksburg and National Capital Region campuses of Virginia Tech
that is intended to synergistically increase research momentum in computer
systems, software engineering, security, and cybersecurity by the Department of
Computer Science (CS) and the Bradley Department of Electrical and Computer
Engineering (ECE). The successful candidate will join the Department of
Computer Science on the Blacksburg campus.
Applications must be submitted online to https://jobs.vt.edu for posting
#0110873. Applicant screening will begin December 15, 2011 and continue
until the position is filled. Inquiries should be directed to Dr. Godmar Back,
gback@cs.vt.edu.
Virginia Tech is an Equal Opportunity/Affirmative Action Institution
See http://www.cs.vt.edu/FacultySearch for more details