The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence. The Institute is named in honour of the scientist Alan Turing and its mission is to make great leaps in data science and artificial intelligence research in order to change the world for the better.
We are seeking to recruit a postdoctoral Research Associate to join a team of investigators and other research associates which includes the contacts listed below as well as Paul Fearnhead (Lancaster), Christophe Andrieu (Bristol), Arnaud Doucet (Oxford), Mark Girolami (Cambridge and Turing) and Mark Briers (Turing), Anthony Lee (Bristol and Turing), Chris Holmes (Oxford and Turing) and Alex Mijatovic (Warwick and Turing).
We are seeking applications specifically in the areas of the methodology and applications of Computational Statistics to Data Centric Engineering https://www.turing.ac.uk/research/research-programmes/data-centric-engineering. The successful applicant will be based at the Alan Turing Institute and be a member of the Data Centric Engineering Programme led by Mark Girolami.
You should have, or be close to completing, a PhD in Statistics or a related discipline. You will work directly with the investigators to undertake and support the research necessary to achieve the specific aims within this grant. This will include, for example, publishing in leading statistical/application journals, presentation of research at workshops and conferences, developing code implementing new statistical methods, and active involvement in project meetings. You will be experienced in one or more of the following areas: Statistics, Computational Statistics, Theory and methodology of Stochastic Algorithms, High-Performance Computing. You will have demonstrated the ability to develop new statistical methodology. We are particularly keen to encourage applicants with strong computational skills, and are looking to put together a team of researchers with skills that cover theoretical, methodological and applied statistics. A demonstrable ability to produce academic writing of the highest publishable quality is essential.
This full-time post is offered on a fixed-term contract for a period of 30 months starting in January 2021.
Informal enquiries may be addressed to Professor Mark Girolami (firstname.lastname@example.org) . Please note that applications sent directly to this email address will not be accepted.
We invite applications for a Postdoctoral Research Associate to join the new Computational Statistical Inference for Engineering and Security (CoSInES) project. This is a timely project developing new theory and methodology within Statistical Science and Scalable Computational Statistics, with particular focus on applications within the exciting new areas of Data-Centric Engineering and Defence and Security.
This £3M programme led by Gareth Roberts at Warwick is funded by the EPSRC, and brings together research groups from the Universities of Lancaster, Bristol, Oxford and Warwick. A major project partner will be the Alan Turing Institute https://www.turing.ac.uk, in particular its programmes on Data-Centric Engineering (DCE) and Defence and Security (D&S). More details of the CoSInES project can be found at http://www.cosines.org/.
There are tremendous demands for advanced statistical methodology to make scientific sense of the recent deluge of emerging data. Huge challenges in modelling, computation, and statistical algorithms have been created by diverse and important questions in virtually every area of human activity. This project aims to create a step change in the use of statistical methodology, motivated by challenges in modelling, computation, and statistical algorithms, for use in engineering and security.
The problems this project will tackle will be characterised by complex large datasets indexed in space and often continuously in time. New models will require not only spatial components, but also large network and time-series structure often requiring the solutions to stochastic (randomly distributed) differential equations.
Inference - drawing conclusions from data - will require a completely new generation of algorithms. Such algorithms will need to be tailored for particular computer architecture, and will require underpinning theory to show they scale. New theory developed on the computational and statistical robustness of approaches will be required to ensure the usefulness of the procedures developed.
The main focus of the research will be in developing and studying generic statistical methods which have applicability in a wide-range of applications.
The work will cover a range of different approaches:
The research will focus on the major application domain which aligns with the Turing research programme: Data-Centric Engineering. Partnership between the researchers and the Turing’s programmes will maximise the impact and speed of translation of the research being conducted. For Data-Centric Engineering, an example is the project ‘A digital twin of the world’s first 3D printed steel bridge’. The project is presenting enormous challenges to existing applied mathematical and statistical modelling of complex structures where even the bulk material properties are unknown and randomly distributed. A new generation of numerical inferential methods are therefore needed to support this progress.
DUTIES AND AREAS OF RESPONSIBILITY
Term and Conditions
This full-time post is offered on a fixed-term basis for 30 months starting in January 2021. The annual salary is £35,000-£41,000 (dependent on skills and experience) plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £32,000-£34,000 per annum.
If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV, covering letter and contact details for your referees. If you have questions about the role or would like to apply using a different format, please contact them on 0203 862 3575 or email email@example.com.
CLOSING DATE FOR APPLICATIONS: 15 November 2020
Equality Diversity and Inclusion
The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly. In accordance with the Equality Act, we welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation.
Reasonable adjustments are available to support candidates through the application and interview process.
Please note all offers of employment are subject to continuous eligibility to work in the UK and satisfactory pre-employment security screening which includes a DBS Check.