Research Associate in Monitoring Complex Systems with Rare High Consequence Events: Cyber-Security Workstream
Mathematics and Statistics,Statistics,Computer Science,Computer Science,Information Systems
Short info about job
Company: Imperial College London
Department: Department of Mathematics
Salary: £36,800 to £44,220 per annum
Hours: Full Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1376 8170501
Fax: +44-1225 9054626
Detail information about job Research Associate in Monitoring Complex Systems with Rare High Consequence Events: Cyber-Security Workstream. Terms and conditions vacancy
South Kensington Campus and The Alan Turing Institute
Salary*: £36,800 - £44,220 per annum
Fixed Term: 3 years with the possibility of extension
Starting Date: Negotiable by 1 January 2018.
The Statistics section is seeking a Research Associate to work in the area of Data-Centric Engineering. The position is funded through the Lloyd’s Register Foundation – Alan Turing Institute Programme on Data-Centric Engineering. The Research Associate will work directly with Dr Nick Heard and Prof Niall Adams, and will join a vibrant Statistics Section at Imperial College London as well as the Data Centric Engineering team at the Alan Turing Institute. The position will be physically based at the Alan Turing Institute, headquartered at the British Library, London.
The Statistics Section of the Department is consistently rated one of the top in the country for research. We have 18 permanent faculty and research expertise in diverse areas including: Signal Processing, Statistical Theory, Applied Probability, Bayesian Methods and Computation, Machine Learning, Big Data and Astrostatistics. Currently we have over 40 PhD students and RAs in the Section who contribute to a young and dynamic environment. We believe we offer a world class training environment for post-doctoral researchers.
The project is for the cyber-security stream of the Grand Challenge on Monitoring Complex Systems with Rare High Consequence Events and aims to develop statistical methodologies and mathematical methods for monitoring computer networks for rare events, with application domains ranging from enterprise networks to the internet of things, and detecting extreme events corresponding to cyber-attacks.
You must have a PhD degree, or an equivalent level of professional qualifications and/or experience, in Statistics. You will have working experience in one or more of: statistical modelling, data science, Bayesian statistics or cyber-security. A background and proven knowledge of data processing and analysis, computational statistics, Bayesian nonparametric models and Bayesian inference methods are essential. You will also have a record of achievement, including publications, in a relevant research field that is commensurate with your experience.
In addition, you will have the demonstrated ability for independent research, and be able to work effectively as part of a team, the ability to develop and apply new concepts, and have a creative approach to problem solving. You must be able to demonstrate excellent verbal and written communication skills and write clearly and succinctly for publications. You must have the ability to interact effectively with a wide range of people, and to learn and teach new skills. .
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £32,380 to £34,040 per annum.
For additional information please contact Dr Nick Heard: email@example.com
Our preferred method of application is online via our website: http://www.imperial.ac.uk/employment (Please select “Job Search”, then enter the job title or vacancy reference number NS2017148LH into “Keywords”). Please complete and upload an application form as directed, also providing a CV and a list of publications, and the names of three referees.
Should you have any queries regarding the application process, please contact Mr. Thomas Brain, Research Liaison Officer, Email: firstname.lastname@example.org
Imperial Managers lead by example.
Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.