Professor in Artificial Intelligence
Queen’s University Belfast
Professor in Artificial Intelligence
Institute of Electronics, Communications and Information Technology (ECIT)School of Electronics, Electrical Engineering and Computer Science
The Chair of AI will be both an academic leader within the Queen’s University School of Electronics, Electrical Engineering and Computer Science (EEECS) and be a Principal Member within the Global Research Institute of Electronics, Communications and Information Technology (ECIT).
The mission of ECIT is to expand the possibilities of a future digital society, and accelerate economic growth through research and innovation. As one of only four Global Research Institutes at Queen’s, we have significant plans for growth and ambitions to further develop as a world leader in research and innovation in the complementary fields of cyber security, wireless technologies, scalable computing and data science.
Established in 2004, ECIT is the research anchor on Catalyst Inc. (www.catalyst-inc.org/), (formerly the Northern Ireland Science Park), an innovation campus, which is home to almost 200 high tech companies employing 3,000 engineers and knowledge economy workers. In ECIT some 200 staff work in a highly collegial and collaborative research environment which supports and rewards those who deliver outstanding research.
To deliver against an ambitious plan to initiate new world-leading research programmes in ECIT and grow ECIT’s research income to £11million pa, the Chair in AI will work closely with the ECIT Director to promote the institutes research culture and ambitions and contribute to ECIT’s innovation agenda. A key focus of this position is to lead foundational research in core areas such as AI knowledge representation, reasoning, learning, planning and decision making. In addition, the Chair in AI will have the international esteem to inspire confidence, and lead and develop teams of exceptional academics, to propose high risk and high impact projects that address global challenges.
As a Professor in the School, the Chair in AI will provide leadership in curriculum development and deliver dynamic undergraduate and post graduate programmes utilising innovative teaching and learning methods that inspire the next generation of digital industry leaders. As a member of the School‘s Academic Management Forum the Chair in AI will initiate, influence and lead strategic initiatives within the Institute, School, Faculty and across the University. The successful applicant will be building on a developed international profile, and can promote Computer Science and Software Engineering education at Queen’s to become a recognised global centre of excellence.
This is an exceptional opportunity for a senior academic to create an enduring legacy.
Further information about the post can be found at http://go.qub.ac.uk/ProfArtificialIntelligence
Further information about the Centre can be found at www.ecit.qub.ac.uk
Informal enquires may be directed to Professor Dimitrios Nikolopoulos, email: firstname.lastname@example.org
Anticipated interview date: Thursday 26 April 2018
Salary: Professor Salary will be determined in accordance with the Professorial ranges as applied within the University.
Closing date: Wednesday 21 March 2018
For full criteria and to apply online, visit www.qub.ac.uk/jobs. For further information or assistance contact Human Resources, Queen’s University Belfast, BT7 1NN. Telephone (028) 9097 3044 or email on HR@qub.ac.uk
The University is committed to equality of opportunity and to selection on merit. It welcomes applications from all suitably qualified persons. However, as people with disabilities and females are currently under-represented within the Professoriate, it would particularly welcome applications from these groups.
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