Lecturer/Senior Lecturer/Reader/Professor in Data Science and Intelligent Autonomous Systems

Queen's University Belfast - Global Research Institute of Electronics, Communications and Information Technology (ECIT)

School of Electronics, Electrical Engineering and Computer Science (EEECS)

We seek highly qualified candidates who can build and grow innovative, mission-led research programmes to make significant contributions in tackling real-world problems, including Global Challenges highlighted by Queen’s, by identifying and enabling new forms of interdisciplinary research and education. This recruitment is central to our ambitious expansion plans allowing us to deliver against Queen’s Vision2020 
and beyond.

You will join the Centre for Data Science and Scalable Computing (DSSC) in the Global Research Institute of Electronics, Communications and Information Technology (ECIT). We focus on addressing foundational and practical challenges associated with information explosion and currently support 60 research staff and PhD students, including 17 faculty members who lead their own research teams, working with over 60 industrial and international academic collaborators.

We seek candidates with an excellent record of achievements and significant potential for future academic leadership in the areas Data Science and Intelligent Autonomous systems with emphasis on Data Analytics (including graph mining and network analysis, streaming data analytics); Data Management (including heterogeneous, spatial-temporal data extraction, integration, querying); and Data-driven Intelligent Autonomous Systems (including information fusion, decision making, multi-agent systems and online planning). We are seeking candidates with proven track records on any of the listed topics, and also those at the senior level, with demonstrable experience in leading initiatives on developing data driven intelligent autonomous systems that integrate real-time data analytics with autonomous system technologies.

You will inspire students and facilitate motivational learning, supported by world-class teaching and research facilities, and will work with engineering and commercial teams to translate your research to real-world impact.

ECIT is one of the newly-created Global Research Institutes (GRIs) at Queen’s, representing world-class research at the University, and is a priority area for growth and investment to enhance our strong international research reputation and outstanding achievements in research translation and economic impact.

Queen’s ranks in the top 1% of Universities worldwide and first in the UK for intellectual property commercialisation. Dedicated to achieving excellence in research and innovation, and to advancing initiatives which positively impact society, Queen’s is also a member of the Russell Group of 24 leading UK research-intensive universities and is 4th in the UK for Electronics and Electrical Engineering.

Queen’s is well established as a leading university for promoting good employment practice, offering excellent terms and conditions, a substantial starting package, a wide range of benefits and facilities, and a family friendly working environment. The School holds an Investors in People accreditation, a Health and Wellbeing Good Practice Award, and a Silver Athena SWAN Award.

Informal enquiries may be directed to Professor Dimitrios S. Nikolopoulos, Head of School of EEECS, email: eeecs-hos@qub.ac.uk

Anticipated interview date: February 2017

Salary scales: Lecturer: £34,956 - £51,260 per annum (including contribution points)

Senior Lecturer/Reader: £49,772 - £63,008 per annum (including contribution points)

Professors will be appointed in line with normal professorial ranges.

Apply online at www.qub.ac.uk/jobs. For further information or assistance contact the Personnel Department, Queen’s University Belfast, 
BT7 1NN. Telephone (028) 9097 3044 or email 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 women as females are underrepresented within this area.