Visit All-Acad.com with more than 200,000 Jobs for Academics!
                    
Position: Postdoctoral Research Assistant - Causality
Institution: University of Reading
Department: School of Mathematical Physical & Computational Sciences
Location: Reading, Berkshire, United Kingdom
Duties: The post will be part of a team of 7 scientists working on the European Research Council Advanced Investigator Grant CUNDA, that will develop and combine causality and nonlinear data assimilation to infer cause and effect relation in the highly turbulent ocean area around South Africa. Specifically, the post will be responsible for developing causality into a quantitative analysis tool by putting it into a Bayesian framework
Requirements: Either Fortran90/C, or Python/Matlab. PhD in quantitative science or mathematics. Basic knowledge of causality tools. Bayesian analysis
   
Text: Job Reference : SRF19357 -R Location : Whiteknights Reading UK Closing Date : 25/06/2018 Live Date : 31/05/2018 Salary : £29,301 to £38,183 per annum Employment Type : AR-Research School / Function : School of Mathematical Physical & Computational Sciences Department : Hours Per week : 1.00FTE Contract Duration : Full-time,Fixed-term The post will be part of a team of 7 scientists working on the European Research Council Advanced Investigator Grant CUNDA, that will develop and combine causality and nonlinear data assimilation to infer cause and effect relation in the highly turbulent ocean area around South Africa. Specifically, the post will be responsible for developing causality into a quantitative analysis tool by putting it into a Bayesian framework. You will have: Drive the development of causality as a quantitative analysis tool. Explore this both for timeseries and for numerical model output. Assist programmer with coding existing newly developed causality strength measures. Assist with analysing the data-assimilation results and apply causality tools to them. Be an active and productive member of a strong team aiming to deliver the best possible science Publish high-quality papers in high-quality journals Informal contact details Contact role: Supervisor Contact name: Prof P.J. van Leeuwen Contact phone: 0118 3785578 Contact email: p.j.vanleeuwen@reading.ac.uk Interviews to take place 2-5 July 2018 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. SRF19357 Job Description and Person Specifications ;
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.