WWTF - Vienna Research Groups for Young Investigators 2017: Applied Harmonic Analysis in Data Science

Applied harmonic analysis in data science as represented within our numerical harmonic analysis group relates to signal and image analysis problems with a special focus on mathematical learning methodologies. We are interested in creating and refining tools from harmonic analysis,
usually relating to decompositions and approximations, in order to better understand, develop, and improve machine learning techniques. Currently, there are active research ties to partners from the Austrian institute for Artificial Intelligence, the Department of Ophthalmology, the Acoustics Research Institute, and the Department of Environmental Geosciences.

Scientific contact:

M.Dörfler, M.Ehler, P.Grohs
monika.doerfler@univie.ac.at, martin.ehler@univie.ac.at, philipp.grohs@univie.ac.at
https://homepage.univie.ac.at/martin.ehler
http://homepage.univie.ac.at/monika.doerfler
http://mat.univie.ac.at/~grohs

Position:

Applications are being invited for outstanding early-career scientists (2-8 years post PhD), interested in building up their first independent research group in the field of "Mathematics" at the University of Vienna.

The aim of this announcement is to source exceptional candidates, who, once selected, will then go on to submit an application together with an experienced scientist at the University of Vienna, to the current call for young investigators by the Vienna Science and Technology Fund (WWTF): https://www.wwtf.at/upload/VRG17_web.pdf.

In the case of a successful funding decision, the research group will be financed for 6-8 years, with up to 1.6 million EUR being provided by the WWTF, supplemented by an additional contribution from the University itself. After a successful interim evaluation, the University of Vienna will offer the group leader a tenure-track position.

Requirements:

Applicants should have exceptional promise, or a proven record of research achievement, within the field of mathematics. They should also provide strong evidence of their potential to make a significant contribution to substantial state-of-the-art scientific research questions in this particular research field. Female applicants are explicitly encouraged to apply.

Application procedure:

Interested PostDoc candidates should get in touch with the scientific contact.
Please send your CV with publication list, list of research projects, teaching activities (evaluations, if available) and supervised PhD students to projektservice.mathematik@univie.ac.at by no later than 30th April 2017.

Organisation: 
Job location: 
Oskar-Morgenstern-Platz 1
A-1090 Vienna
Austria
Contact and application information
Deadline: 
Sunday, April 30, 2017
Contact name: 
projektSERVICE-Mathematics
Categorisation
Category: 
Tenure Track