Research Associate in Mathematics (Imperial College of London Department of Mathematics)

Research Associate in Mathematics Job summary Applications are invited for a Research Associate position in the Department of Mathematics at Imperial College London. The position is funded by the European Research Council. You will be working on the Stochastic Transport in Upper Ocean Dynamics (STUOD) ERC Synergy Grant 2020. The STUOD project aims to deliver new capabilities for assessing variability and uncertainty in upper ocean dynamics. Job listing information Reference NAT01433 Date posted 9 May 2023 Closing date 9 July 2023 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 Applications are invited for a Research Associate position in the Department of Mathematics at Imperial College London. The position is funded by the European Research Council. You will be working on the Stochastic Transport in Upper Ocean Dynamics (STUOD) ERC Synergy Grant 2020. The STUOD project aims to deliver new capabilities for assessing variability and uncertainty in upper ocean dynamics. Duties and responsibilities You will take the lead on developing numerical experiments to test new theories related to the STOUD project. In addition, you will be involved in the theoretical development of variational models of ocean dynamics and rough paths. You will also have the opportunity to develop an independent research project related to the topic of this grant. Essential requirements You should possess: Hold a PhD (or equivalent) in Nonlinear Filtering and/or Data Assimilation Expertise in Stochastic Partial Differential Equations Experience writing research papers in Stochastic Filtering / Data Assimilation Knowledge of Data Assimilation techniques A track record of independent research in Stochastic Analysis/Data Assimilation Experience of giving talks at internationally recognised conferences and workshops A strong interest and knowledge of Stochastic Geophysical Fluid Dynamics Expertise in Machine Learning Techniques Experience with programming in Firedrake Excellent written (English) communication skills and the ability to write clearly and succinctly for publication Excellent verbal (English) communication skills including the ability to deal with a wide range of people, and to communicate complex information clearly Strong computational skills Ability to identify, develop and apply concepts, techniques and methods in new contexts Ability to keep accurate records of research results and activity, help with reporting Ability to exercise initiative and judgement in carrying out research tasks Ability to conduct a detailed review of recent literature Creative and open approach to problem-solving Ability to organise own work independently Ability to prioritise own work in response to deadlines Ability to work effectively with a team of researchers and across disciplines High level analytical capability Ability to assess resource requirements and deploy them effectively Ability to encourage research culture in others Ability to deliver high quality scientific talks Ability to direct the work of a small research team and motivate others to produce a high standard of work Ability to motivate and guide the work of others Willingness to work as part of a team, to be open-minded and cooperative and to align individual work with the overall direction of project. Further information The position is full time and fixed term for 24 months. You will be based at South Kensington Campus. The expected start date is 1^st October 2023. Please note that the maximum salary on appointment is £43,093 per annum. * *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.* For any specific queries regarding the post please contact Professor Dan Crisan (d.crisan@imperial.ac.uk) The College is currently trialling a Work Location Framework until early 2023. Hybrid working may be considered for this role and the role holder may be expected to work 60% or more of their time onsite, with 40% the minimum time spent onsite. The opportunity for hybrid working will be discussed at interview. 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/ The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes which are ultimately aimed towards finding new treatments and making scientific and medical advances, and where there are no satisfactory or reasonably practical alternatives to their use. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. Find out more about animal research at Imperial. Documents JD - Research Associate in STUOD - Synergy Grant 2020.pdf If you apply for this position please say you saw it on Engineeroxy

Research Associate in Mathematics

Job summary

Applications are invited for a Research Associate position in the Department of Mathematics at Imperial College London. The position is funded by the European Research Council. You will be working on the Stochastic Transport in Upper Ocean Dynamics (STUOD) ERC Synergy Grant 2020. The STUOD project aims to deliver new capabilities for assessing variability and uncertainty in upper ocean dynamics.

Job listing information

Reference NAT01433
Date posted 9 May 2023
Closing date 9 July 2023

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

Duties and responsibilities

You will take the lead on developing numerical experiments to test new theories related to the STOUD project. In addition, you will be involved in the theoretical development of variational models of ocean dynamics and rough paths. You will also have the opportunity to develop an independent research project related to the topic of this grant.

Essential requirements

You should possess:

Hold a PhD (or equivalent) in Nonlinear Filtering and/or Data Assimilation
Expertise in Stochastic Partial Differential Equations
Experience writing research papers in Stochastic Filtering / Data Assimilation
Knowledge of Data Assimilation techniques
A track record of independent research in Stochastic Analysis/Data Assimilation
Experience of giving talks at internationally recognised conferences and workshops
A strong interest and knowledge of Stochastic Geophysical Fluid Dynamics
Expertise in Machine Learning Techniques
Experience with programming in Firedrake
Excellent written (English) communication skills and the ability to write clearly and succinctly for publication
Excellent verbal (English) communication skills including the ability to deal with a wide range of people, and to communicate complex information clearly
Strong computational skills
Ability to identify, develop and apply concepts, techniques and methods in new contexts
Ability to keep accurate records of research results and activity, help with reporting
Ability to exercise initiative and judgement in carrying out research tasks
Ability to conduct a detailed review of recent literature
Creative and open approach to problem-solving
Ability to organise own work independently
Ability to prioritise own work in response to deadlines
Ability to work effectively with a team of researchers and across disciplines
High level analytical capability
Ability to assess resource requirements and deploy them effectively
Ability to encourage research culture in others
Ability to deliver high quality scientific talks
Ability to direct the work of a small research team and motivate others to produce a high standard of work
Ability to motivate and guide the work of others
Willingness to work as part of a team, to be open-minded and cooperative and to align individual work with the overall direction of project.

Further information

The position is full time and fixed term for 24 months. You will be based at South Kensington Campus. The expected start date is 1^st October 2023.

Please note that the maximum salary on appointment is £43,093 per annum.

* 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.

For any specific queries regarding the post please contact Professor Dan Crisan (d.crisan@imperial.ac.uk)

The College is currently trialling a Work Location Framework until early 2023. Hybrid working may be considered for this role and the role holder may be expected to work 60% or more of their time onsite, with 40% the minimum time spent onsite. The opportunity for hybrid working will be discussed at interview.

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/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes which are ultimately aimed towards finding new treatments and making scientific and medical advances, and where there are no satisfactory or reasonably practical alternatives to their use. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. Find out more about animal research at Imperial.