Additional information: permanent contract for 37 hours per week (full time)
We are looking for an exceptional individual with vision and enthusiasm and a proven track record of research in Data Science related areas. As an Associate Professor in Data Science, you will lead the growth of research for the Department of Computing and Technology in this field. Applications are welcome from across the spectrum of computational intelligence, machine learning, or computational statistics. You will undertake a substantive programme of research at the highest international standard. The application of your research could be related to biological, physical, health, social, information sciences, engineering and business.
As a successful applicant you will contribute to the existing strength of the Department of Computing & Technology. The Department of Computing and Technology is a hugely popular department with students and a reputation for delivering industrially relevant courses, including a range of Degree Apprenticeships. You will continue to develop this profile after you join the department. The department has research strengths in Interactive Systems, Computational Intelligence, Cognitive Robotics, Data Analytics, Cybersecurity, Internet of Things and Smart Infrastructures, with active research groups breaking new ground in these fields.
Nottingham Trent University is proud to have been rated Gold under the UK government’s Teaching Excellence Framework. It was also named as 2017 ‘University of the Year’ by the Times Higher Education Supplement and ‘Modern University of the Year’ by the Times and Sunday Times Good University Guide 2018. Very recently, the university has won inaugural The Guardian University of the Year awards 2019. The University is renowned for leading edge research and strong links with industry.
The University is making multi-million pound investments in both buildings and equipment at the Clifton campus, an award-winning “green” campus. The newly opened ISTeC building has state of the art facilities for computer science, including high performance computing, robotics, mobile computing, and Graphics/Games, as well as containing isolated network laboratories. A second building, due for completion in 2019, will support interdisciplinary activities across computer science, engineering and business to address the challenges of Industry 4.0.
If you are interested in this opportunity, please submit a single document to include: a covering letter; a full CV; and professional statements such as a teaching statement and a research statement, with the aim of demonstrating how you meet the requirements of the Person Specification. If the 1MB file size restriction makes this difficult or impossible, please email all your supporting documentation to CSTHR@ntu.ac.uk.
Please review the online information about the post on www.ntu.ac.uk/vacancies. If you have any specific queries in relation to this position that the online information does not cover, then please contact:
Applications from candidates who require sponsorship to work in the UK will be considered alongside other applications. For further information on this please visit the UK Visas and Immigration website.