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Postdoctoral Research Assistant (4 Posts)
Whiteknights Reading UK

Job reference: SRF15063

Location: Whiteknights Reading UK

Closing date: 15/01/2017

Job live date: 12/12/2016

Salary: £29,301 to £32,004 per annum

Employment type: AR-Research

Department: School of Mathematical Physical & Computational Sciences

Division: Meteorology

Hours per week: 1.00 FTE

Employment Basis/Type: Fixed term - 3 years with possible extension

These 4 posts form the core group of scientists in the CUNDA project, together with PI Van Leeuwen. CUNDA (Causal relations Using Nonlinear Data Assimilation) is a 2.6M€ Advanced Investigator project funded by the European Research Council ERC. The team will investigate and develop new methods to infer cause-and-effect (causality) relations, first in low-dimensional systems but pushing to high-dimensional highly nonlinear geophysical systems, in a quantitative Bayesian framework. At the same time efficient fully nonlinear data-assimilation methods for such high dimensional systems need to be developed. These two strands come together by applying the causality inference to a state-of-the-art ocean model in which 25 years of satellite and in-situ observations have been assimilated. The ocean area of interest is the ocean around South Africa, where the Indian, Atlantic, and Southern Ocean meet in a highly turbulent way. We will address some of the major questions in oceanography on the coupling between the wind-driven and thermohaline circulation, and explore causality to understand the highly nonlinear interactions in this area. The projects needs highly motivated excellent researchers with expertise in one or more of the diverse areas of causality, nonlinear data assimilation, physical oceanography and numerical modelling. A part-time programmer will also be part of the project.


You will have:

  • PhD in quantitative science or maths
  • Experience in one or more of Fortran, C, Python, UNIX, MPI
  • Experience in one or more of Data assimilation, Causality quantification, Physical oceanography, High-dimensional geophysical modelling
  • Strong publication record in relation to experience and areas relevant to this post
  • The ability to work independently as well as in a team

Informal contact details

Contact role:

PI and supervisor

Contact name:

Prof Peter Jan van Leeuwen

Contact phone:


Contact email:


Interviews will be held on the 23 and 24 January 2017


The University is committed to having a diverse and inclusive workforce and we welcome applications for job-share, part-time and flexible working arrangements which will be considered in line with business needs.


The closing date for this job has now passed.


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