Research Assoicate in Computational Systems Biology – Imperial College, London
The Department of Computing is one of the leading departments of Computer Science in the world. In the UK, it has consistently been awarded the highest research rating (5*) in Research Assessment Exercises (RAE), coming 2nd in the UK 2008 RAE, and was rated as “Excellent” in the previous national assessment of teaching quality. In the 2010 Times Higher Education, it is ranked as the
9th best in the world.
An exciting opportunity has arisen for a Research Associate (post-doctoral) for the prestigious European Research Council Starting Grant funded project on analysis of biological networks. The purpose of the project is to develop and apply sophisticated graph theoretic algorithms and models carefully tuned to extract biological knowledge from topologies of real-world biological networks, including protein-protein interaction, metabolic, transcriptional regulation, and disease association networks. The aim is to mine biological network data for new biological insight that would complement the knowledge that can be obtained from mining genetic sequence data. The developed graph theoretic tools will further be applied to other network domains including economic, social, and computer networks.
The successful applicant will be responsible for developing new graph theoretic models and algorithms for some of the foremost problems in computational systems biology, including network alignment and network integration of various types of data. You will design and implement the models and algorithms, apply them to real-world biological network (and other domain) data from public and private sources, statistically analyze the results, write research papers, present the work at international conferences, and contribute to updating our open source software package, GraphCrunch, with the new methods.
To apply you will have a PhD (or equivalent) in Computer Science, Engineering, Mathematics, Physics, Bioinformatics, or a related discipline. You should have a proven knowledge and track record in several of the following areas: graph and complexity theory, algorithms, bioinformatics, programming in C, C++, a scripting language and Matlab, using a parallel computing environment, scientific computing, data analysis, statistics and machine learning.
How to apply:
Our preferred method of application is online via our website at: http://www3.imperial.ac.uk/employment (please select $B!H (Bjob search $B!I (B then enter the job title or vacancy reference number *EN2011XXXBD* into $B!H (Bkeywords $B!I (B).Please complete and upload an application form as directed.
Applications must include the following:
* A college application form – quoting reference number *NP 10 11* on the form * A full CV including: University degrees and dates, past and present posts and list of publications.
* A 2-page statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
For queries regarding the application process contact Joanne Day by email to: research.officer@doc.ic.ac.uk
*Closing date for applications: November 7, 2011*