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 invite applications for one full-time or multiple part-time postdoctoral research associate(s) to join the Unparameterised multi-modal data, high order signatures, and the mathematics of data science (DataSıg) team. Through collaboration between leading mathematicians and domain scientists, the DataSıg programme has created a wide array of computational tools for the analysis of complex multimodal data streams. These tools leverage the power of deep learning alongside the well-understood mathematics of rough path theory, and have shown state-of-the-art performance for irregularly sampled multivariate time series problems (i.e. messy data). In particular, rough path theory has led to recent advances in data compression, kernel methods, neural differential equations and stochastic analysis.
The programme, led by Professor Terry Lyons FRS, is funded by the EPSRC and brings together research groups from Imperial College London, UCL and the University of Oxford with a hub at the Alan Turing Institute https://www.turing.ac.uk. More details of the DataSıg project can be found at https://www.datasig.ac.uk.
The main focus of the DataSıg programme is to develop the theoretical and computational aspects of rough path techniques and to demonstrate their effectiveness in a wide range of applications. This covers a range of different research directions:
The most recent applied challenge associated with the DataSıg programme is Project Odysseus – a collaborative venture within the Alan Turing Institute, led by Dr Theo Damoulas, which seeks to better understand human mobility within London. This project has a broad range of objectives including:
Project Odysseus builds upon existing infrastructure, such as the live traffic camera feeds successfully used in the project ‘Near Real-Time Social Distancing in London’ to estimate social distancing adherence. In addition, the team has delivered tools to local authorities that make these large-scale traffic datasets accessible in real-time. However due to the challenges inherent in video and spatial time series data, a new generation of inferential methods are needed to support this progress.
We anticipate that the techniques and methodologies developed in Project Odysseus will be applicable to future projects in the areas of urban science that align with the Turing research programme on Data-Centric Engineering.
We are seeking to recruit either one full-time or multiple part-time postdoctoral researcher(s) to join the DataSıg team; working with the principal investigator Terry Lyons (Oxford and Turing) and co-investigators, Harald Oberhauser (Oxford), Thomas Cass (Imperial) and Hao Ni (UCL). The successful candidate(s) will be based at the Alan Turing Institute in London.
The project will involve working closely with members of the DataSıg team to further develop rough path techniques as they relate to data science and to identify areas of opportunity within the “Human Mobility” applied challenge. The latter research direction will be made possible through a partnership with the Alan Turing Institute’s Data-Centric Engineering programme and contributes to Project Odysseus, which aims to better understand mobility, transportation and traffic activity over the city of London. A particular focus of this project is spatiotemporal data (that is, time series data with a spatial component).
DUTIES AND AREAS OF RESPONSIBILITY
The successful candidate will work closely with project investigators based at the Alan Turing Institute with the aim:
Please see Job Description attachment for a full breakdown of our Person Specification.
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 3340, or email firstname.lastname@example.org.
CLOSING DATE FOR APPLICATIONS: Sunday 08 August 2021 at 23:59.
TERMS AND CONDITIONS
This full-time post is offered on a fixed-term basis for two years with an ideal start date of 01 September 2021. The annual salary is £37,000-£42,000 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 at a salary of £34,500 per annum.
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 to the interview process will be made for any candidates with a disability.
Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check.
Full details on the pre-employment screening process can be requested from HR@turing.ac.uk.