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RESEARCH FELLOW , EEECS

Ref: 18/106796
Closing date: 23-10-2018

Salary: £33,199 - £39,610 per annum (potential to progress to £43,266 per annum through sustained exceptional contribution)

Job description:

The School of Electronics, Electrical Engineering and Computer Science is advertising two research posts in the area of programming languages, run-times and operating systems for data-intensive applications.These posts are jointly funded by three Horizon 2020 projects: VINEYARD, UniServer and OPRECOMP. These projects investigate techniques and policies, implemented in operating systems, programming languages and runtime systems, that control the trade-off between performance and energy-efficiency. The post holders will be members of the Queen's Global Research Institute on Electronics, Communication and Information Technology (ECIT). They will join a vibrant research group of 25 researchers at all career stages, underpinned by a GBP 10m research grant portfolio and a state of the art computing systems research facility. The post holders will have access to world class teaching and research facilities and opportunities to work with vibrant engineering and commercial teams to translate their research to impact. 

 

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RESEARCH FELLOW, MACHINE LEARNING

Ref: 18/106797
Closing date: 16-10-2018

Salary: £33,199 - £39,610 per annum (potential to progress to £43,266 per annum through sustained exceptional contribution)

Job description:

This Research Associate position provides a unique opportunity to address the problem of task-specific sensor management and fusion using deep reinforcement learning (DRL). The project is hosted by the Centre for Data Science and Scalable Computing (DSSC) in the Institute of Electronics, Communications and Information Technology (ECIT), at Queen's University Belfast. There is a need to transfer and fuse knowledge across sensors and modalities in response to complex defence-specific tasks that cannot be simply derived from data and labels. For example, when striving for local situation awareness in urban scenarios there are multiple user requirements that change in response to available human intelligence, e.g. which targets to search for and how quickly, length of mission, and time of day or night. We must thus vary knowledge transfer and sensor fusion strategy with current mission and available resources.
 

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RESEARCH FELLOW - SECURITY ANALYTICS

Ref: 18/106833
Closing date: 29-10-2018

Salary: £32,548 - £38,833 per annum (potential to progress to £42,418 per annum through sustained exceptional contribution)

Job description:

Security analytics involves the development of novel artificial intelligence techniques applied to security analytics. Applications include malware detection on Android platforms, software vulnerability recognition, network intrusion detection, and advanced persistent threat. The purpose of this job requires the successful applicant to be an active member of the Security Intelligence research team in CSIT.  For them to assist in the planning and delivery of the application of machine learning techniques to security analytics and in the development of research proposals in the area of security analytics.  Thereby, helping ensure the overall research objectives of CSIT are met.   
 

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