Research Fellow / Assistant, School of Electronics, Electrical Engineering and Computer Science
To be an active member of a large research project/team working with AllState NI on novel data mining techniques for insurance fraud detection. The post-holder is expected to lead, plan and deliver research activities focused on developing an integrated anomaly detection system to identify fraudulent insurance claims and point-of-sale frauds from multiple, heterogeneous data sources.
- Undertake high quality research and development in the areas of fraud detection utilizing data from multiple, heterogeneous data sources for real-time fraud identification and prevention.
- To attend and participate in technical and managerial meetings, as requested.
- To collaborate with data scientists and software engineers from AllState as required.
- Present regular progress reports on research to members of the research group or to external audiences to disseminate and publicise research findings.
- Contribute to developing the international reputation of EEECS, CSIT and the KDE research cluster through presentations, attendance at trade-shows and visiting major companies and research centres world-wide (may involve overseas travel).
- Prepare, often in consultation with supervisor, material for publication in leading national and international journals and presentations at leading international conferences.
- Assist grant holder in the preparation of funding proposals and applications to external bodies.
- Carry out routine administrative tasks associated with the research project/s to ensure that project/s are completed on time and within budget. These might include organisation of project meetings and documentation, financial control, risk assessment of research activities.
- Carry out occasional undergraduate supervision, demonstrating or lecturing duties within the post holder’s area of expertise and under the direct guidance of a member of academic staff. Read academic papers, journals and textbooks to keep abreast of developments in own specialism and related disciplines.
- Any other duties that may reasonably be requested by management.
Planning and Organising:
- Plan for specific aspects of research programmes. Timescales range from 1-6 months in advance and contribute to research group planning.
- Plan for the use of research resources, laboratories and workshops where appropriate.
- Plan own day-to day activity within framework of the agreed research programme.
- Plan up to a year in advance to meet deadlines for journal publications and to prepare presentations and papers for conferences.
- Coordinate and liaise with other members of the research group over work progress.
Resource Management Responsibilities:
- Ensure research resources are used in an effective and efficient manner.
- Provide guidance as required to support staff and any students who may be assisting with research.
Internal and External Relationships:
- Liaise on a regular basis with colleagues and students.
- Build internal contacts and participate in internal networks for the exchange of information and to form relationships for future collaboration.
- Join external networks to share information and ideas.
- Contribute to the School’s outreach programme by establishing links with local community groups, industries etc.
- For Research Fellow: Hold or about to obtain a relevant PhD.
- For Research Assistant: Studying for a PhD at a senior year in Computer Science or a related subject.
- At least two years of recent research experience in a relevant discipline, either in an academic or industrial environment (PhD research periods will be accepted).
- Demonstrable expertise, through a recent research project (including a PhD project) in either Data mining/graph mining or
- Graph databases.
- Ability to contribute to broader management and administrative processes.
- Contribute to the School’s outreach programme by links with industry, community groups etc.
- Sufficient breadth and depth of specialist knowledge in the discipline and of research methods and techniques to work within established research programmes.
- Ability to communicate complex information clearly.
- Ability to build contacts and participate in internal and external networks.
- Demonstrable intellectual ability. Ability to assess and organise resources.
- Must be prepared to work closely with industrial collaborators.
- Be prepared to undertake applied research.
- Willingness to attend meetings and conferences nationally and internationally as requested, i.e. must be prepared to travel.
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