Postdoctoral Positions in Bioinformatics and Computational Biology
Two postdoc positions are available immediately in our group.
Candidates with previous experience in some of the following areas are
strongly encouraged to apply:
- structural biology
- systems biology,
- biological sequence analysis
- machine learning
- statistics.
Ph.D. in
Computer Science, Bioinformatics, Computational Biology, or related
field is required. Successful candidates are expected to have good
publication record, self motivation, and good command of English.
Successful candidates will have opportunities to work on collaborative
research projects with Stanford University, University of Rome, Texas
A&M University, and research centers and core facilities at KAUST.
The salary is highly competitive depending on qualifications. Income is
tax exempt and has a very attractive compensation and benefit packages.
For more information please visit the KAUST HR website
http://www.kaust.edu.sa/employment/employment.html
The initial appointment will be for one year, with annual renew up to
three years depending on the performance. To apply, please send your
complete curriculum vitae to Dr. Xin Gao (xin.gao@kaust.edu.sa) and the contact
information for three references. The positions will remain open until
filled.
Ph.D. in Bioinformatics and Computational Biology
Our group has openings for two Ph.D. students. The students are expected
to work in the areas of bioinformatics and computational biology. The students will
be fully covered for tuition fees, fully-furnished housing, and health
insurance, plus paid a highly competitive stipend, go to
http://www.kaust.edu.sa/student_services/student_services.html for
further details.
The students will be funded for summer internship with
KAUST academic or industry partners, such as Stanford University, UC
Berkeley, University of Cambridge, and IBM.
Successful candidates are expected to be self-motivated and hard
working, and have good command of English. Background in Computer
Science, Statistics, Bioinformatics, Computational Biology, or related
field is preferred. To apply, please send your complete curriculum vitae to Dr. Xin Gao
xin.gao@kaust.edu.sa and include the contact information for three
references. Review of applications will begin immediately.