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Postdoctoral Position in Computational Bioengineering
The Kavraki group at Rice University (http://www.kavrakilab.org)
is looking to hire an enthusiastic postdoctoral researcher to enhance
their research efforts in computational structural biology, drug
design, and metabolic engineering.
Due to restrictions in funding, only US Citizens or Green Card holders
can apply. The position is available immediately.
The available project is on mining metabolic and enzyme databases
for the composition of non-canonical pathways with applications to drug
design. The increasing availability of experimentally elucidated
metabolic pathways together with the availability of enzyme
functional data have ignited research in metabolic engineering and
metabolomics. Recently, metabolic engineering has facilitated
the production of complex pharmaceutical molecules by combining
and manipulating metabolic pathways from multiple organisms.
Metabolomic studies have revealed underlying causes of complex diseases
and have helped diagnostic, prognostic, and treatment regimens
as these evolve toward more individualized protocols. These
spectacular advances have mostly relied upon laborious manual
processes that are infeasible as more and more metabolic data are
generated. In this project, we develop and implement a set of
algorithms for the discovery of complex metabolic pathways
using information on metabolic pathways from different species
available in databases such as KEGG and MetaCyc, and enzyme
information available in databases such as BRENDA. We use
machine learning methods to analyze the results. We collaborate
with experimentalists for the validation of the results.
Qualifications and Application
The ideal candidate will have a strong enthusiasm for interdisciplinary
work. Required skills include excellent analytical skills,
excellent software engineering skills, experience with programming in C++,
or Java and some exposure to biochemistry. A Ph.D. is required
for the position in a related field. In the past successful candidates had
had degrees in Computer Science, Bioengineering, Biophysics, Physics,
and Chemistry. Excellent communication and collaboration skills are required
as the selected candidate will be expected to work closely with current
lab members and with collaborators.
To indicate interest please send a resume to Lydia Kavraki (firstname.lastname@example.org)
Applications will be accepted until the position is filled.
The Kavraki Group is a small but vibrant group and provides a
stimulating working environment. Most of its alumni are now in academic
or upper-level research positions. For more information about the
group check http://www.kavrakilab.org. The Computer Science
and Bioengineering Departments at Rice are part of the Gulf Coast
Consortia for for Quantitative Biomedical Sciences and offer
an unparalleled training environment
Rice University is a leading research university in the vibrant urban
setting of Houston, TX, the fourth largest city in the U.S. Rice is a small,
private university with exceptional strengths in engineering,
biomedicine, and nanotechnology. The Computer Science Department is among the
top 20 in United States, while the Bioengineering Department is ranked among
the top 10 departments in United States by US News & World Report.
Rice University, MS 132, PO Box 1892, Houston, TX 77251
713-348-5934 (phone), 713-348-5930 (fax)