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Faculty on Machine Learning, AI, Optimization Jobs at Imperial College

Country : UK - United Kingdom

Website :


The Department of Computing at Imperial College London invites applications for a full-time, faculty member at the Lecturer/Senior Lecturer level (comparable to American tenure-track Assistant or Associate Professorships) who contribute to research and teaching, in particular in the areas of Machine Learning, AI, Optimization, Autonomous Systems.
Notwithstanding the above focus, exceptional candidates from any area of Computer Science are also encouraged to apply.
The Department of Computing is one of the largest Computing departments in the UK, and is at the forefront of academic research and teaching in Computer Science. Its research has been ranked in the top three in the UK in the Research Excellence Frameworkundertaken by the Higher Education funding Council for England in 2014. The Complete University Guide ranks the Department’s teaching as second in Computer Science. For further information on the Department visit
Imperial College London is a world-leading university whose reputation for excellence in teaching and research attracts students and staff of the highest international quality. The three Faculties: Engineering, Natural Sciences and Medicine, together with the Business School explore the interface between science, medicine, engineering and management.
We offer an attractive salary package (including pension schemes to which the employer makes significant contributions) as well as generous terms and conditions of service. In addition, we offer numerous benefits to our staff and students, including subsidized childcare on campus, flexible and family friendly working policies and opportunities for further professional development and sabbaticals.
You will have a PhD (or equivalent) in Computer Science or a relevant field. You should be able to demonstrate an ability to establish outstanding independent research, to contribute to undergraduate and postgraduate teaching programmes in the Department and to supervise PhD students.
Closing Date: 16 January 2017 (midnight GMT)
Application information:
Our preferred method of application is online via our website (please select “Job Search” then enter the job title or vacancy reference number EN20160416LE into “Keywords”). Please complete and upload an application form as directed.

Last modified: 2017-01-09 11:51:19