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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.