|Title: ERC-funded Postdoc Position: Life-Long Learning||Posted: March 10, 2018|
|Company/Institution: Institute of Science and Technology Austria (IST Austria)|
|Location: Vienna |
|Department: Computer Vision and Machine Learning group|
Description: 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 in computer vision or a related area of modern image analysis with a solid background in machine learning techniques, in particular
kernel methods, learning with structured inputs and outputs, and/or probabilistic approaches. A strong research record is required, documented by publications at first-tier conferences (CVPR, ICCV, ECCV) and journals (IJCV, PAMI).
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 three years with competitive salary. The starting dates are flexible. There is no fixed deadline, applications will be considered until the position is filled.
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 1000 employees and graduate students by 2026.
The language of the Institute is English.
Application Instructions: Applications should include
Please send complete applications as single PDF documents to Christoph Lampert .
- a resume,
- a statement of research experience and interests,
- a list of publications,
- academic transcripts, and
- the contact details of three references.