2 Year Postdoctoral Research Position in Stochastic Closures for Weather and Climate Modelling

Vacancy Reference: 




Salary Range: 

Starting Salary £29,099 - £30,870

Discretionary Scale: 

Appointment Term: 

24 months

Closing Date: 

Thursday, June 30, 2011 (All day)

We invite applications for a Postdoctoral research position, funded by the King Abdullah University of Science and Technology (KAUST) Global Research Partnership (GRP), to work with Dr Chris Farmer at the Oxford Centre for Collaborative Applied Mathematics (OCCAM). This position is available from 1 October 2011, or as soon as possible thereafter, and is for a duration of two years.

OCCAM has been established with substantial funding from the KAUST GRP. The Centre, which is part of the Mathematical Institute, is allied to a global network of mathematicians. Aiming to meet the ever-increasing global demand for quantitative understanding of complex scientific phenomena, OCCAM has been built on the strength of four pre-existing groups of applied and computational mathematicians working in Oxford: the Oxford Centre for Industrial and Applied Mathematics (OCIAM), the Centre for Mathematical Biology, the Numerical Analysis Group and the Computational Biology Group. It has a symbiotic relationship with other scientific communities which have a need for problem-solving mathematics both within the University of Oxford and beyond.

Practical methods for simulating weather and climate make it necessary to account for unresolved scales and processes in simulation through the use of some form of sub-grid modelling. This is usually referred to as a 'closure' in fluid dynamics and theoretical physics, and as a 'parameterisation' in meteorology and climate science. This project will investigate closures incorporating stochastic processes, which lead to stochastic partial differential equation models.

We will develop a method for designing the structural form of stochastic closures which will be tested on benchmark problems and analysed using methods from numerical analysis and applied mathematics. Data-driven closure methods using probability density functionals will be a key topic of investigation. This research also involves inverse problems and scientific computing.

The project involves collaboration with Prof Tim Palmer FRS in the Atmospheric, Oceanic and Planetary Physics (AOPP) Department at Oxford, Dr Irene Moroz in the Oxford Centre for Industrial Applied Mathematics (OCIAM), Dr Ibrahim Hoteit (KAUST), Prof Gera Stenchikov (KAUST) and Dr Frank Kwasniok (Exeter). The collaboration will involve at least one extended visit by the candidate to KAUST.

The successful candidate will be expected to have a PhD awarded, or a Masters degree and PhD submitted, at the time of taking up the post in mathematics or a related discipline, demonstrate expertise in applied mathematics and scientific computing, have excellent communication skills and a good publication record judged by the stage of his/her career.

Applicants should read the job description document before writing their application.  You will be required to upload a supporting statement setting out how you meet the selection criteria, a curriculum vitae, a list of publications, details of teaching experience, a statement of research interests, and the names and contact details of two referees as part of your online application.  In addition candidates should arrange for the two letters of reference to be sent directly to the Administrative Assistant, Mathematical Institute, 24-29 St Giles’, Oxford OX1 3LB, email: vacancies@maths.ox.ac.uk, by the closing date (a letter by email is sufficient).

Please direct informal enquiries to the Administrative Assistant (email:  vacancies@maths.ox.ac.uk), quoting vacancy reference 100388.

Applications for this vacancy are to be made online.  To apply for this role and for further details, including a job description and selection criteria, please click on the link below


Only applications received before 12:00 noon UK time on Thursday 30 June can be considered.

Committed to equality and valuing diversity

Job Description: