THE ALAN TURING INSTITUTE

Research Associate in Complex Networks – CHANCE Project 

Location
London (GB)
Posted
09 Aug 2017
End of advertisement period
18 Sep 2017
Contract Type
Fixed Term
Hours
Full Time

Research Associate in Complex Networks – CHANCE Project  

The Research Associate (RA) will lead the implementation/development of network science algorithms and systems code for the CHANCE project.

JOB TITLE  Research Associate
LOCATION  British Library, London
SALARY  £35,000 per annum (negotiable dependent on skills & experience)
HOURS  Full time
CONTRACT TYPE  Fixed-term
CLOSES   18th September 2017 

THE ALAN TURING INSTITUTE

Launched in November 2015, the Alan Turing Institute is the national institute for data science. Our mission is to make great leaps in data science research to change the world for the better.

The Institute is headquartered at The British Library, and brings together researchers from a range of disciplines – mathematics, statistics, computing, engineering and social sciences, – from five leading universities and industry partners.

THE ROLE

The goal of the CHANCE (Coupled Human and Natural Critical Ecosystems) project is to develop fundamentally new data science approaches to modeling large-scale networks. Leading researchers that are making advances in complex networks, graph theory, and control theory are welcomed to apply.

Recent advances in network science have enabled researchers to understand the resilience of large-scale topological systems and develop algorithms to improve their robustness in presence of different classes of failures and perturbations. The CHANCE project will enhance our understanding of large-scale complex systems and create a platform to translate fundamental research into real-world impact.

The 3-year project is funded by the Lloyd’s Register Foundation (LRF) and part of the Program for Data-Centric Engineering (DCE). As concrete case studies, the project will focus on coupled critical infrastructures (CI) that span both urban cores and rural peripheries. A targeted outcome of the project will be to create a data-driven modeling framework that can support and inform stakeholders in many different ways including (i) quantifying and understanding the stability of critical systems (ii) prioritizing resilient investments, (iii) developing resilient adaptive algorithms for cyber-physical systems, and (iv) educating and informing the public about risk, uncertainty, and resilience.

These exciting collaborations between network science and engineering will take place at the Turing and in conjunction with the partner universities of University of Warwick, UCL, and Imperial College. At the Turing, access to both a large number of research experts, useful data sets on CI networks, and cloud computer facilities is available.

The Research Associate (RA) will lead the development of network science inspired control algorithms for the CHANCE project. The RA will work closely with investigators and other RAs at the partner universities to validate new models for network resilience. The CHANCE project will work closely with a number of industrial partners to create representative network science models.

The RA will also work with others to perform performance evaluation and comparison with other approaches, and in the preparation of conference and journal papers reporting on the results; to contribute to the ideas in the ongoing project, including looking at potential longer term impact development; and to plan the integration of any new ideas with emerging grant proposals. The position is suitable to candidates who have completed a PhD degree in a relevant field such as: data science, network science, networked systems, control engineering, and/or applied mathematics.

You can find out more about the CHANCE project at:
https://www.turing.ac.uk/research_projects/chance-coupled-human-natural-critical-ecosystems/
Informal inquiries are welcomed, please contact Dr. Weisi Guo: wguo@turing.ac.uk 

You can find out more about the Data centric engineering project at: https://www.turing.ac.uk/research_projects/programme-data-centric-engineering/ 
Informal inquiries are welcomed.

HOW TO APPLY

This is an exciting opportunity to join a diverse, growing organisation with a strong team of individuals at the helm. There is a generous benefits package including Health Care, enrolment into a generous pension scheme, Cycle2work and childcare vouchers. The Institute also offers 30 days’ holiday per year exclusive of bank holidays.

Further information about the role, duties and responsibilities can be found on the Turing website and person specification: RA Chance.

If you consider that you meet the criteria set out in the person specification and would like to apply for the role, please email your CV and cover letter to jobs@turing.ac.uk. 

If you have any queries or would like to discuss the role further, please HR Team on 0203 862 3375 or email HR@turing.ac.uk. 

Applicants who would like to receive this advert in an alternative format or who are unable to apply online should contact us by telephone.

CLOSING DATE FOR APPLICATIONS: 18th September 2017 

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 status, pregnancy, religion or belief or sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability.

Please note all offers of employment a subject to successful security screening and continuous eligibility to work in the UK.