Research Assistant/Associate - Critical

The newly formed research centre on Cloud security will seek to understand the different types of criminal behaviour that can be facilitated by the Cloud and then build systems that will allow the detection of such crimes and the collection of digital evidence to lead to the prosecution of Cloud-based criminals.
The centre represents an inter-disciplinary research endeavour that will leverage the strengths of Newcastle, Durham and Leeds Universities in areas of computing systems security, artificial intelligence / machine learning, data mining, psychology, criminology, criminal justice, law, ethics and also and data analytics. The role of the three advertised posts is to execute the machine learning agenda of the centre for Cloud security with focus on developing methods for modelling cloud behaviour, and for detecting/predicting instances of abnormal behaviour and cloud crime. This will involve using knowledge extraction and visualisation techniques to transform and explain these predictions to collect evidence for their possible prosecution.
You will require a PhD or equivalent (or close to completion) in Machine Learning, Data Analysis or related discipline, and outstanding research outputs in machine learning and its applications. Experience and track record of working in inter-disciplinary collaborations is also essential, along with strong software development skills.
These posts (3 are available) are fixed term for 36 months. For informal queries about these vacancies please contact thomas.gross-AT-ncl.ac.uk, jaume.bacardit-AT-newcastle.ac.uk or thomas.ploetz-AT-newcastle.ac.uk
Please note that previous applicants need not re-apply.
School of Computing Science: http://www.ncl.ac.uk/computing/
Open Lab: http://openlab.ncl.ac.uk
ICOS: http://ico2s.org
Secure and Resilient Systems: http://www.ncl.ac.uk/computing/research/groups/srs...
The School holds a bronze Athena SWAN award in addition to the University’s bronze Athena SWAN award in recognition of our good employment practices for women working in science, and the HR Excellence in Research award.