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Position: Research Associate in project on the Stochastic Parameterization of Ocean Turbulence for Observational Networks (SPOT-ON), ONR Grant 2022
Institution: Imperial College London
Location: London, United Kingdom
Duties: You will be involved in the theoretical development of variational models of ocean dynamics and rough paths and will work with data from realistic and idealized simulations to implement and test the new theoretical (stochastic) approach to representing unresolved dynamics. You will also collaborate with other team members, numerous PhD students, and the aforementioned network of collaborators in developing research advances related to the goals of this grant
Requirements: Hold a PhD (or equivalent) in Nonlinear Science, especially in Geophysical Fluid Dynamics (GFD) or a closely related discipline; A broad and strong background in the Derivation, Analysis and Computational Simulation of Mathematical Models in Nonlinear Science, especially in GFD for physical oceanography; Sufficient interest and knowledge of Stochastic GFD to competently explain how Kelvin’s circulation theorem relates to smooth invertible transformations, Lie derivatives, stochastic variational principles and computational methods for SPOT-ON
   
Text: Research Associate in project on the Stochastic Parameterization of Ocean Turbulence for Observational Networks (SPOT-ON), ONR Grant 2022 Apply now Save this job Job summary Applicants are invited for a Research Associate position in the Department of Mathematics at Imperial College London (ICL). The position is funded by a US Office of Naval Research and can be extended to 36 months. The project involves an interdisciplinary effort bringing together stochastic mathematical modelling and data analysis, geophysical fluid dynamics, and novel ocean modelling with the goal of furthering our understanding and... Job listing information Reference NAT01264 Date posted 13 September 2022 Closing date 13 November 2022 Key information about the role Location South Kensington Campus - Hybrid Position type Full time, fixed term Salary £43,093 - £50,834 plus benefits Department Department of Mathematics Category Researcher / Non Clinical Researcher Job description Job summary Applicants are invited for a Research Associate position in the Department of Mathematics at Imperial College London (ICL). The position is funded by a US Office of Naval Research and can be extended to 36 months. The project involves an interdisciplinary effort bringing together stochastic mathematical modelling and data analysis, geophysical fluid dynamics, and novel ocean modelling with the goal of furthering our understanding and parameterization of unresolved dynamics (submesoscales, internal waves, etc) in operational ocean/climate models. The project also has a strong observational flavour both in terms of project definition and the desirable outcomes. Duties and responsibilities You will be involved in the theoretical development of variational models of ocean dynamics and rough paths and will work with data from realistic and idealized simulations to implement and test the new theoretical (stochastic) approach to representing unresolved dynamics. You will also collaborate with other team members, numerous PhD students, and the aforementioned network of collaborators in developing research advances related to the goals of this grant. Essential requirements Hold a PhD (or equivalent) in Nonlinear Science, especially in Geophysical Fluid Dynamics (GFD) or a closely related discipline A broad and strong background in the Derivation, Analysis and Computational Simulation of Mathematical Models in Nonlinear Science, especially in GFD for physical oceanography Sufficient interest and knowledge of Stochastic GFD to competently explain how Kelvin’s circulation theorem relates to smooth invertible transformations, Lie derivatives, stochastic variational principles and computational methods for SPOT-ON Expertise and refereed publications in Physical Oceanography relevant to SPOT-ON Expertise and refereed publications on Stochastic Partial Differential Equations (SPDE) A track record of independent research in SPDE modelling and computational simulation Experience with programming in Firedrake Experience in giving talks at internationally recognised conferences and workshops Experience with applications of Machine Learning tools Ability to keep accurate records of research results and activity, help with reporting Ability to work effectively with a team of researchers and across disciplines Ability to direct the work of a small research team and motivate others to produce a high standard of work Further information Full details of the role can be found on the Job Description. *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £38,194- £41,388 per annum. This is a full time and fixed term role for 24 months. Please note that the maximum salary on appointment can be £43,093. For any specific queries regarding the post please contact Professor Darryl Holm, ( d.holm@imperial.ac.uk ) The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/ Documents Job Description.pdf About Imperial College London Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world. You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City. We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces. It’s our mission to achieve enduring excellence in all that we do for the benefit of society - and we are looking for the most talented people to help us get there. Additional information Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities. Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework . Our values are: Respect Collaboration Excellence Integrity Innovation In addition to the above, employees are required to observe and comply with all College policies and regulations. We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion. For technical issues when applying online please email support.jobs@imperial.ac.uk .
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