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.

The ASG programme at the Alan Turing Institute at Turing is looking to build on existing research success at the intersection of machine learning, statistics and mathematics that underpins the transformative role the AI has on economy and society at large.

While the adoption of machine learning and artificial intelligence methods is opening the door to more robust data-driven decision processes, the majority of critical applications of AI requires a shift from a single agent perspective to multi-agent systems. Consequently, there is a need to study large population systems of interacting agents, that make multiple decisions in a shared (often adversarial) environment. The focus of the project is on the theoretical foundation and design of mathematically principled algorithms of such multi-agent systems. The successful candidate should show considerable promise in research in at least one of the following areas: Reinforcement Learning, Bayesian Inference and Probabilistic Machine Learning, Uncertainty quantification and Data Assimilation Methods for online calibration of time-dependent models, Mathematical Modelling of collective behaviour of interacting systems, Computational Optimal Transport, Mean-field Game Theory or Stochastic Control.

The post offers the applicant an exciting opportunity to pursue world-class research and to develop their career. The ideal candidate will have a demonstrated ability to work in a highly collaborative manner and be enthusiastic about engaging widely across disciplinary boundaries and with industry, government and the third sector.

ROLE PURPOSE

This project will be run within the SPF-funded programme on AI for Science and Government, based at The Alan Turing Institute. This programmes are focussed on research in data science, with accompanying translational activities to ensure impact in the fields applied science, engineering, urban analytics governance, as well as education and training components, in keeping with the vision, mission and charitable aims of the Turing Institute. The role will also be associated with the Lloyds’ Registry Foundation funded programme on Data-Centric Engineeering within the Alan Turing Institute.

This post is an appointment to the Foundations of Ecosystems of Digital Twins group within the programme on AI for Science and Government at the Alan Turing Institute. You will join a team of researchers affiliated with the Alan Turing Institute working on projects involving the development of theory and methodology related to the modelling, calibration and control of complex models. The applicant will be expected to manage collaborations with other researchers within the ASG programme, as well as with the Data Centric Engineering Programme at the Turing and engage with relevant stakeholders from government bodies and industry.

Informal enquiries may be addressed to Ms Katy Henderson ([email protected]). Please note that applications sent directly to this email address will not be accepted.

DUTIES AND AREAS OF RESPONSIBILITY

The research associates will work closely with the project investigators based at Turing Institute with the aim:

• To establish a sound research base within the Alan Turing Institute in order to pursue individual and collaborative research of outstanding quality, consistent with making a full active research contribution in line with the research strategy outlined by the PIs.
• To write or contribute to publications or disseminate research findings using other appropriate media.
• To attend and present research findings and papers at academic and professional conferences, and to contribute to the external visibility of the Institute.
• To ensure compliance with secure handling of data and health and safety in all aspects of work.
• To participate in and develop internal and external partnerships, for example to identify sources of funding, generate income, obtain projects, or build relationships for future activities.

Essential

• Research Associate level: PhD in Mathematics, Statistics, Economics, Engineering, Operations Research, Computer Science or closely related discipline.
• Research Assistant level: Near completion of a PhD or equivalent level of professional qualification in Mathematics, Statistics, Economics, Engineering, Operations Research, Computer Science or closely related discipline.
• A solid background in one or more of the following: Probability Theory, Stochastic Analysis and Control, Bayesian Inference and Probabilistic Machine Learning, mathematical Modelling of collective behaviour of interacting systems and rigorous agent based modelling.
• Track record of the ability to initiate, develop and deliver high quality research aligned with the research strategy indicated by the PI and any industrial stakeholders and to publish in peer reviewed journals and conferences.
• The ability to initiate, plan, organise, implement and deliver programmes of work to tight deadlines.
• Good effective communication (oral and written) skills, presentation and training skills.
• Good interpersonal skills.
• Teaching may be required as part of the role.

Desirable

• Experience in design, development and implementation of research software libraries, ideally using one of the following: Python, R, Julia and their associated frameworks.
• A developing track record in producing high quality academic publications.
• Ability to write research reports and papers in styles accessible to both academic and lay audiences.
• The ability to work in a team and interact professionally within a team of researchers and PhD students.

Other Requirements

• Commitment to meeting deadlines
• Flexible attitude towards work
• Commitment to EDI principles and to the Organisation values

APPLICATION PROCEDURE

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 [email protected].

CLOSING DATE FOR APPLICATIONS: 13 December 2020 at 23:59.

TERMS AND CONDITIONS

This full-time post is offered on a 2 year fixed-term basis starting 1 January 2021. The annual salary is £35,000-£41,000 (depending on 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.

This job description is written at a specific time and is subject to change as the demands of the Institute and the role develop. The role requires flexibility and adaptability and the post holder needs to be aware that they may be asked to perform tasks and be given responsibilities not detailed in this job description.

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 can also be made for any candidates with a disability.

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.

Full details on the pre-employment screening process can be requested from [email protected].