Sweden : PhD students in Computer Vision

KTH, The School of Computer Science and Communication (CSC) seeks at least one PhD student in Computer Vision in the special field of object and scene recognition.

KTH is the largest technical university in Sweden. Education and research cover a broad spectrum within natural sciences and engineering, as well as architecture, industrial engineering and management, urban planning, work science and environmental engineering. There are circa 12,000 full-year undergraduate students, 1,400 postgraduate students and 3,100 employees.

CSC is one of Sweden’s most advanced and successful research and education institutions in Information Technology at KTH and Stockholm University. The activities of the school focus on higher education and research within the traditional core areas of numerical analysis and computer science; from theory building and analysis of mathematical models to algorithm construction, implementation and simulation. Other core areas of growing importance are technology and methods for the support of human communication and computer mediated cooperation over distances in time and space. The applied research includes scientific computing, computer science, computer vision, robotics, neural networks, human-computer interaction, media technology and graphic arts, and communication through speech, language and music. For more information see:

• www.kth.se/csc

go to"CSC International Website".

Project

The candidate(s) will join a collaborative project devoted to the processing of images captured from vision sensors, such as mobile cameras or specially designed devices, worn by individuals for extended periods of time. The project's aim is to develop algorithms to perform automatic visual recognition on this data. It is anticipated that these algorithms will exploit machine learning techniques trained using a combination of labelled and non-labelled example data. Initially, work will focus on addressing basic problems within visual recognition, but at a later stage emphasis will shift to processing large amounts of data collected from the continuously worn sensors. The latter task will include the study of large scale visual memory organization and its relation to recognition with the aim of providing memory support for the wearer of the sensor.

This is a four-year, time-limited position and normally includes 20% departmental duties, usually teaching. Research students must be registered at KTH. The salary follows the guidelines provided by KTH. The starting date is open for discussion, though ideally we would like the successful candidate to start as soon as possible.

Qualifications

A suitable background for this position would be a Master of Science in Computer Science, applied mathematics, electrical engineering or physics.

Applicants must be strongly motivated for doctoral studies, possess the ability to work independently and perform critical analysis as well as possessing good levels of cooperative and communicative abilities.

To address its varied work, KTH aims to employ a diversity of talent and thus welcomes applicants who will add to the variety of the University, especially as concerns its gender structure.

Employment

Form of employment: Time-limited
Start date: According to agreement

Application

Applications via email to:

• kerlag@csc.kth.se

Write reference number in the email subject. (CV, etc should be sent as an attachment preferably pdf-files.)

Alternatively applications by ordinary post to be sent to:
CSC att. Kerstin Lagerstedt, KTH, Lindstedtsvägen 3, plan 4, SE-100 44 Stockholm, Sweden.

Application shall include the following documents:
1. Curriculum vitae
2. Transcripts from university/university college
3. Brief description of why the applicant wishes to become a doctoral student

Contact(s)

Queries concerning PhD studies at KTH can be directed to:
Eva-Lena Åkerman, Staff Manager
Phone: +46 8 790 91 06

• ela@csc.kth.se

Queries concerning the project content can be directed to:
Stefan Carlsson, Professor
Phone: +46 8 790 84 32

• stefanc@csc.kth.se

Further Information

Application Deadline : 20 January 2010

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Posted on 2010-01-06 08:17:52

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The announced deadline for above scholarship is expired and new applications may no longer be accepted. The notice is available for reference purpose only.

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