University Lecturer In Engineering Science::Information Engineering::Machine Learning
The Department of Engineering Science, University of Oxford, UK, proposes to appoint a University Lecturer in Engineering Science in the general area of Information Engineering/Machine Learning from 1st January 2013 or as soon as possible thereafter.
Although no strict restriction is placed on the specialised area of research, candidates with an interest in machine learning and its application to big-data, computer vision, robotics or signal processing are especially welcome. The department is looking to appoint an individual whose research activity will expand or complement existing strengths in machine vision, surveillance, statistical signal processing, machine learning, sensing, autonomy and robotics.
The successful candidate will work at the Department of Engineering Science and will be offered a Non-Tutorial Fellowship at Kellogg College under arrangements described in the further particulars. The appointment will be initially for five years at which point, upon completion of a successful review, the post holder will be eligible for reappointment to the retiring age. The successful candidate will have a strong background in Information Engineering, including a doctorate.
Candidates should have a proven research track record witnessed by peer reviewed publications and collaborations and relevant teaching experience.
They will be expected to contribute to the Information Engineering research group obtaining external funding to enable development of excellent independent research. They will be expected to contribute to the teaching of undergraduate courses in the Department of Engineering Science, which may include lectures, tutorials and practical classes, and the supervision of undergraduate design and project work, and pastoral care of graduate students in College.
Further particulars, containing full details of the application procedure and duties, are to be found at http://www.eng.ox.ac.uk/about-us/jobs/df12kel The closing date is noon, 20 July 2012.
Prof. Paul Newman
BP Professor of Information Engineering
Dept Engineering Science
University of Oxford