Postdoc Position in Computer Vision and Machine Learning
Contact: Christoph Lampert
A postdoc position in Computer Vision and Machine Learning is 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 computer vision,
machine learning and optimization methods. Prior knowledge of modern
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 individual who enjoys working in an excellent
research environment including adequate funding for equipment and
conference travel. The successful candidate will have no mandatory
teaching or administrative duties, but he or she 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 are optional.
Conditions of employment: The post-doctoral position is provided for up
to two years with very competitive salary. The starting dates are
flexible. There is no fixed deadline, applications will be considered
until the position is filled, as announced on
Application procedure: Formal applications should include CV, a
statement of research experience and interests, list of publications,
academic transcripts, as well as the contact details of three
references. Please send applications as single PDF document to Prof.
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
(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. IST
Austria is committed to equality and diversity. In particular female
applicants are encouraged to apply.