Jobs/ 10 new Lecturers (Assistant Professor)

Application deadline:
Sun, 10/01/2017
York, UK
University of York

The Department of Computer Science at the University of York, UK is recruiting 10 new Lecturers (US equivalent: Assistant Professor). These are permanent positions with an expectation of performing both world leading research and teaching.

The Computer Vision and Pattern Recognition (CVPR) research group at York particularly welcomes applicants working in areas related to computer vision, machine learning and pattern recognition. Besides a PhD in a relevant area, candidates should have a track record of publishing in the top venues in the area such as TPAMI, IJCV, CVPR, ICCV, ECCV, SIGGRAPH or NIPS.

Research in the department is focussed into four themes. The most relevant to the CVPR group is “Beyond Human Vision: novel approaches and algorithms for computer vision, pattern recognition and face analysis”, though the Analytics (including AI) theme and Image analysis within the Healthcare theme are also relevant.

CVPR research at York

Five academics at York work in areas related to vision:

Particular areas of interest include: physics-based vision, statistical learning, face modelling and analysis, structural pattern recognition, complex networks and, more recently, deep learning. We have two lab spaces, including a dark room equipped with a light stage, polarisation imaging equipment and a 3D laser scanner. We have private access to a small GPU-equipped server and shared access to much larger compute facilities.

Besides collaborating with the five academics already working in vision, there is also an opportunity to collaborate with other research groups in the department (such as AI, Games and HCI), other departments in the university (we have active collaborations with Psychology, Environment and the York NeuroImaging Centre), the Digital Creativity Labs ( and the Doctoral Training Centre in Intelligent Games and Game Intelligence (

Further general information about the university and city of York and details on how to apply can be found at:

Interested applicants are encouraged to discuss their application in the first instance with Edwin Hancock (, Richard Wilson ( and William Smith (

The closing date is 1 October 2017. General enquiries about the application process or more details of the posts should be addressed to