Two Postdoc Positions in Computer Vision and Machine Learning

Two Postdoc Positions in Computer Vision and Machine Learning

Posted by Rebecca Martin on Wed, 15/12/2010 - 13:06

Two postdoc position in Computer Vision and Machine Learning are available immediately at
the Institute of Science and Technology Austria (IST Austria) in the group of Christoph
Lampert.

Applicants should hold a PhD and have experience in machine learning, optimization and/or computer vision. Prior knowledge of discriminative machine learning techniques (in particular
kernel methods, structured output learning, and/or probabilistic approaches) will be an
advantage, a strong analytical background is a must. We are looking a for highly motivated
and creative individuals who enjoy working in an excellent research environment including
adequate funding for equipment and conference travel. The successful candidates will have no
mandatory teaching or adminstrative duties, but they should be motivated to take an active
role in the further development of the newly established research group. Good
communication skills and fluency in English are required. German language skills not
required.

Conditions of employment: The post-doctoral positions is provided for one or two years with
the possibility for extension. Salaries are very competitive. The starting dates are flexible.
There is no fixed deadline, applications will be considered until the positions are filled.

Application procedure: Formal applications should include CV, a statement of research
experience and interests, list of publications, academic transscripts, as well as the contact
details of three references. Please send applications as single PDF document to Prof.
Christoph Lampert chl(at)ist.ac.at.

About the institute: IST Austria (www.ist.ac.at) is a new institute that opened its campus near
Vienna in 2009. It is dedicated to basic research in the natural sciences and related disciplines
(http://www.ist.ac.at/research). Established by the Austria Government, IST Austria has
substantial funding, allowing for over 500 employees and graduate students by 2016. The
language of the Institute is English.