We are seeking a highly motivated post-doctoral researcher with research interests in applying machine learning in computational biology and biomedicine. The position is in the group of Robert Hoehndorf at the Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Start date: Earliest possible Location: Thuwal, Saudi Arabia Employment: Full-time Duration: initial contract 1 year (renewable up to 3 years)
Applications are accepted until the position is filled.
The postdoctoral researcher will work on developing methods to analyze graph-structed data in biology and biomedicine. The main areas of application are understanding the molecular basis of disease and phenotypes, and the environmental influences that influence the development of the phenotype. The ideal candidate will have a background in machine learning or datamining and an interest in developing and improving methods to analyze data represented as graphs or characterized with biomedical ontologies. The postdoctoral researcher will be responsible for carrying out research independently and collaboratively with other members of the research group, and present research results at conferences and in scientific journals.
Postdoctoral researchers are entitled to a competitive salary (commensurate with the applicant's qualifications), free, fully-furnished housing on the KAUST campus, free medical and life insurance, free education at KAUST schools for the postdoctoral researchers' children, and relocation allowance.
KAUST will be responsible for the actual recruiting decision, appointment offers and employment benefits.
Expertise required: The candidate should have a PhD in computer science, bioinformatics, or a related field (obtained in the last 5 years), experience in machine learning or optimization, and good programming skills (including at least one scripting language). Additional desirable skills include knowledge of Semantic Web technologies and deductive reasoning, high performance computing, and analysis of NGS data.
How to apply:
To apply, please send your CV, a list of publications, the names and contact details of two referees, and a brief letter of motivation by email to: email@example.com
For any questions related to the position, please contact Robert Hoehndorf (firstname.lastname@example.org).
King Abdullah University of Science and Technology (KAUST) is an international, graduate-level research university dedicated to inspiring a new age of scientific achievement in the Kingdom of Saudi Arabia, in the region, and around the globe. As an independent, merit-based institution, KAUST's pioneering matrix structure of academic divisions and interdisciplinary research centers enables top researchers from around the globe and across all cultures to work together to solve challenging scientific and technological issues.
The KAUST global research and education networks support diverse talents, both on its campus and at other premier universities and research institutions, through collaborative research agreements, grants, and student scholarship programs. KAUST, open to both men and women from all around the world, is governed by an independent, self-perpetuating Board of Trustees. The core campus, located on more than 36 million square meters on the Red Sea at Thuwal, Saudi Arabia, was inaugurated on the 23rd of September 2009.