|Title: Postdoctoral Research Assistant in Computer Vision ||Posted: November 4, 2014|
|Company/Institution: University of Oxford|
|Location: Central Oxford, UK|
|Department: Department of Engineering Science|
Description: Grade 7 GBP 30,434 - GBP 37,394 p.a.
We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group at the Department of Engineering Science (central Oxford). The post is funded by IARPA under the Janus programme and is fixed-term for 24 months.
The objective of the project is to develop visual descriptors and learning algorithms for recognising faces in image datasets and videos. It is a collaborative project with several research groups in the US. The methods to be used will involve strong and weak supervision of learning models such as Convolutional Neural Networks. Of particular interest is face recognition `in the wild' - where the face may have non-frontal pose, and the illumination is not controlled.
You will be responsible for development and implementation of novel computer vision and learning algorithms to automate face recognition in images and video. You will also develop software infrastructure for viewing and searching the resulting classifications and detections.
You should possess or be close to completion of a PhD/DPhil in Computer Vision or Machine Learning, and have a proven background in recognition in images or videos. Good communication skills both written and verbally are essential. Ability to program in Matlab and C++ is desirable.
Informal enquiries may be addressed to Andrew Zisserman using the email address below.
Only applications received before 12.00 midday on Friday 5 December 2014 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
The department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in science, engineering and technology.
Application Instructions: You must apply online by visiting www.eng.ox.ac.uk/work-here before the closing date or your application will not be considered.