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.

Job description:

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.

Benefits:

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: robert.hoehndorf@kaust.edu.sa

Contact: 

For any questions related to the position, please contact Robert
Hoehndorf (robert.hoehndorf@kaust.edu.sa).

About KAUST:

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.