Vacancies
From time to time vacancies arise within the department. Posts will be advertised on this page as and when they arise.
Research Associate in Statistics (NCSML)
The Research Associate will administer and organise the EPSRC funded project: Network on Computational Statistics and Machine Learning, led by Professor Mark Girolami. The aim of this network is to establish the UK as the world leading authority in the joint area of Computational Statistics and Machine Learning by advancing communication, interchange and collaboration within the UK between the disciplines of Computational Statistics and Machine Learning.
Candidates should hold a PhD (or equivalent qualification) in Statistics or Computer Science and have experience of designing websites and editing web graphics. It is essential that the successful candidate will possess excellent organisational and communication skills.
This part-time post is available immediately and is initially funded for 36 months.
Closing date: 28 May 2013
Research Assistant in Statistics (ASSET)
The Research Assistant will work with Professor Mark Girolami on the EU FP7 funded project: ASSET: Analysing and Striking the Sensitivities of Embryonal Tumours. ASSET is a 14 partner collaborative European project in the theme "tackling human diseases through systems biology approaches". Using a combination of state-of-the-art genomics, proteomics and mathematical modelling, ASSET's major goal is to identify mechanistically understood network vulnerabilities that can be exploited for new approaches to the diagnosis and treatment of highly aggressive and devastating major paediatric tumours.
Candidates should hold a MSc (or equivalent qualification) in Computational Statistics and have experience of the use and development of sophisticated state-of-the-art MCMC methods based on Riemann manifold Langevin and Hamiltonian methods. It is essential that the successful candidate will possess strong programming skills in Matlab and C and excellent communication skills.
This part-time post is available from 1 June 2013 and is initially funded until 31 March 2015.
Closing date: 28 May 2013
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Page last modified on 14 may 13 17:49
