Jobs

BMVC attracts PhD students, postdocs and staff from all over the UK and beyond. If you would like to advertise a studentship, internship or job, please contact the committee, bmvc2008@comp.leeds.ac.uk.

Current Listings

JOB: Lecturer - Oxford Brookes University, UK

Applications are invited for the post of lecturer to work in computer vision and machine learning in the Department of Computing at Oxford Brookes. The post is funded under an Oxford Brookes early career development initiative with the aim being to foster basic research. As such the position holds a very light teaching load for the first three years, and would be suitable for a recent PhD or to someone just about to complete. The candidate would be expected to produce world leading research, supervise graduate students and apply for research funding; the pay is around £26-27K.

The Computer Vision group in the Department of Computing was formed in 2005 by Philip Torr and William Clocksin, and is led by Philip Torr. It comprises 8 graduate students and 4 research fellows. The aim of the group is to engage in state of the art research into the mathematical theory of computer vision and artificial intelligence, but to keep the mathematical research relevant to the needs of society. Our research is focused on Bayesian methods, in particular the study of the mathematics underlying Markov Random Fields, combinatorial optimization and Bayesian nets.

The applications come in many forms, and we are involved with several major companies and organizations. With Sony we are working on human computer interaction (via a camera, the "EyeToy") for the Play Stations 2 and 3, with Sharp we are working on generation of content for 3D displays, with Oxford Metrics Group we are working on computer understanding of films (e.g. what is the shape of objects in the scene etc) in order to make better special effects; we also work on motion capture of humans (and animals) in order to drive computer generated avatars. We work on medical image analysis and on surveillance. We also do collaborative work with Microsoft Research, London, Cambridge and Oxford Universities.

For more details email your CV to philiptorr@brookes.ac.uk, and apply direct online at https://edm.brookes.ac.uk/hr/hr/vacancies.do.

Deadline: 12 May 2008.

JOB: Post Doctoral Research Fellow for Computer Vision in Bioimaging, A*STAR, Singapore

The group of Computer Vision and Pattern Discovery for Bioimages focuses on applying advanced computer vision, machine learning and mathematical models to elucidate the complex behavior of biological systems. The group analyses images from wide-field and confocal microscopes, including image data sets from high-throughput screens. The trend towards quantitative biology has spawned new areas of research, especially in the area of digital imaging where thousands of images are acquired automatically through robotic systems of chemical and cell assays handling. These images are then analyzed and used to create new biological hypotheses that are further validated using other experimental means. The group's contributions to high throughput, high content imaging are to provide accurate and fast computational methods for the data mining of large image data sets.

The candidate is expected to produce cutting edge research that contributes to the progress of life sciences through new computer vision methodologies, candidates with the following skills are preferred:

Applicants may email your CV to leehk@bii.a-star.edu.sg.

Visit http://www.bii.a-star.edu.sg/research/iig/iig.php for more information.

PhD Studentship: 3D Shape and Volumetric Radiance Estimation of Non-opaque Objects from Multiview Images, INRIA, France

Multi-view stereovision consists in recovering the three-dimensional shape of an object or a scene from several images of it. Nowadays, multi-view stereovision algorithms allow more or less to recover opaque objects. Despite the recent advances in opaque surface modeling, the modeling of translucent, semi-transparent or transparent objects has not yet received a very widespread attention. Also, successful methods aiming for opaque surface recovery definitively fail to deal with translucent/transparent surfaces.

This thesis will concern the area of 3D modelling of non-opaque objects. Several goals are considered:

The project will be carried out in the PERCEPTION group at INRIA Grenoble Rhône-Alpes, under the supervision of Dr. Peter Sturm and Dr. Emmanuel Prados:

For more details, see: http://perception.inrialpes.fr/offer.php3?id_offer=41

Deadline: 14 May 2008.

JOB: Software Developer, Image Analysis Ltd, Leeds, UK

Image Analysis Ltd (www.image-analysis.org) is a start-up company involved in development, marketing and sales of image analysis software solutions for the global Medical Device Industries, with a strong emphasis on tools that measure anatomical change in diseases such as rheumatoid arthritis and cancer. We are now looking for a software developer, with a background in analysis, mathematics, computer science or engineering, to complement our R&D team.

The role will be primarily to analyse, research, design and implement new image analysis algorithms and applications, and to support existing applications by using and extending our core software platform.

Essential candidate requirements:

Location: Leeds, UK.

Salary: from £22K (depending on qualifications) + annual bonus + share options

Email your CV with cover letter to info@imageanalysis.org.uk.

JOB: Researcher, Pixsta, London, UK

Pixsta, a London-based visual search startup, is looking for exceptional researchers with an interest in automated image understanding to join its research team. You will recently have obtained a PhD in the areas of signal processing, computer vision and/or machine learning. We are particularly interested in applications from candidates with additional research experience in niche subjects such as relational data mining or description logic. A strong background in mathematics is essential, as is a record of relevant and high-quality publications. Some of the problems we study are of immediate commercial relevance, but there is ample scope to be visionary and experimental. We encourage everyone to continue to play an active part in the research community through publications and reviewing activities. The team is based in our main office in Notting Hill, London. Please check out www.pixsta.com for more details about us.

To apply, send your CV and cover letter to Daniel Heesch (daniel@pixsta.com)