UK:Research Associate (post-doctoral) in Computational Network Biology at Imperial College London.

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Duration: Fixed Term appointment for 1 year with possible extension

Preferred start date:  October 2013

Salary in the range: £32,100 – £40,720 per annum

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 2014 The Complete University Guide. In the 2012-2013 Times Higher Education, it is ranked as the 8th best university in the world.An exciting opportunity has arisen for a Research Associate 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 economic networks to elucidate principles that lead to crises and recovery processes.

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.  The successful candidate will design and implement the models and algorithms, apply them to real-world biological and economic network data from public and private sources, statistically analyse the results, write papers, present work at international conferences, supervise students, give some lectures, and contribute to updating our open source software package, GraphCrunch, with the new methods.

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.Preference will be given to applicants with a proven research record and publications in relevant areas.  All applicants must be fluent in English.

For more information:
You will be part of the Computational Network Biology Research Group. For further information on the group and related projects see:

As this is a re-advertisement previous applicants need not re-apply

How to apply:

Our preferred method of application is online via our website: (please select “job search” then enter the job title or vacancy reference number EN20130266TT into “keywords”).  Please complete and upload an application form as directed.

Applications must include:

  • A college application form
  • A full CV including: University degrees and dates, past and present posts, a list of publications, presentations, and other research-related achievements
  • A 2-page statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
  • At least 3 letters of reference.

For any queries regarding the application process please contact Joanne Day by email

Closing date: 8th September 2013 (applications will be accepted until the position is filled)

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