Research Fellow (Multi-Agent Systems for Large-Scale Evolving SCADA) Ref: 12/102174

Centre for Secure Information Technologies (CSIT)

The next generation of SCADA (Supervisory Control and Data Acquisition) systems must develop a set of autonomous and intelligent capabilities to address a number of pressing requirements.  Problems presented by increasing process complexity, advances in sensor technologies, the increasing demand for integration with other enterprise solutions, increasingly inadequate security protection and a higher required standard of fault tolerance must all be solved.

To provide solutions to these problems the proposed research focuses on the development of a novel Multi-Agent System (MAS) architecture supporting SCADA systems, built on research on MAS carried out at IIIA in Barcelona.  This architecture is to be integrated with an advanced event reasoning framework that has been partially developed at Queen's University Belfast which will fully exploit sensor data and domain knowledge, including treatment of inherent uncertainties, incompleteness and inconsistency to autonomously infer system state and crucially to inform human and autonomous decision makers in the system.  Security issues related to multi-agent systems for large scale control problems will also be investigated and such technologies to be integrated into next generation MASs.

The Research Fellow appointed will conduct advanced research in the following areas (subject to changes): (i) developing sensor information fusion strategies under uncertainty and inconsistency in a multi-agent framework; (ii) developing (discrete and continuous) event models and prediction approaches for autonomous planning and execution in MASs; (iii) developing decision support strategies to provide real-time situation awareness updates to autonomous components and security personnel; (iv) designing simulations for evaluating theoretical findings.  This research fellow will work closely with another researcher fellow appointed to the project and working on MASs, BDI models, revision and planning issues in MASs.

Anticipated interview date: Wednesday 19 September 2012

Starting Salary:             £30,122 per annum
Closing date:     Monday 3 September 2012

Please visit our website for further information and to apply online – www.qub.ac.uk/jobs or alternatively contact the Personnel Department, Queen's University Belfast, BT7 1NN.  Telephone (028) 90973044 FAX: (028) 90971040 or e-mail on personnel@qub.ac.uk

The University is committed to equality of opportunity and to selection on merit.  It therefore welcomes applications from all sections of society and particularly welcomes applications from people with a disability.