CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Condense Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Sender:
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Date:
Mon, 26 Nov 2018 08:52:58 +0100
Reply-To:
Vitomir Štruc <[log in to unmask]>
Message-ID:
Subject:
MIME-Version:
1.0
X-cc:
Peter Peer <[log in to unmask]>
Content-Transfer-Encoding:
quoted-printable
Content-Type:
text/plain; charset=utf-8; format=flowed
From:
Vitomir Štruc <[log in to unmask]>
Parts/Attachments:
text/plain (68 lines)
** Apologies for cross-posting **

OPEN RESEARCH POSITION in DEEP LEARNING FOR COMPUTER VISION
An opening is available for a RESEARCH POSITION at the University of 
Ljubljana in the area of deep learning for computer vision. The opening 
is available within a national research project funded by the Slovenian 
Research Agency (ARRS). The goal of the project is to develop deep 
learning models able to infer volumetric part-based models from visual 
data, e.g., depth images, point clouds, intensity images, etc.
The appointment is from January 1st, 2019 (may be delayed a few (1-3) 
months if needed) until June 30th, 2020 with a possible extension.

If the candidate does not hold a PhD degree, enrollment into the 
Doctoral School of the University of Ljubljana is also possible.
Project web-site: http://lrv.fri.uni-lj.si/sqnn/

** Work description **
The candidate is expected to:
•    Conduct research in the scope of a fundamental ARRS project
•    Develop deep learning solutions for the recovery volumetric models 
from visual data
•    Publish results in peer reviewed vision-oriented journals and 
conferences
•    Collaborate with students and research staff on related projects

** Expected qualifications **
•    MSc or PhD degree in computer science or related fields
•    Outstanding programming skills, e.g., Python, Matlab, C++
•    Experience with deep learning frameworks, e.g., Keras, PyTorch, Caffe
•    Familiarity with computer vision tools and libraries, e.g., OpenCV, 
VLFeat
•    Good track record – publications in SCI indexed journals and 
top-tier conferences
•    Excellent oral and written communication skills (in English)

** How to apply **
Interested candidates should send a CV with a detailed description of 
skills and research experience and a cover letter with the e-mail 
subject [ARRS SQ: Research application] to Assoc. Prof. Peter Peer 
([log in to unmask]) and Assoc. Prof. Vitomir Struc 
([log in to unmask]). Review of applications will continue until 
the position is filled. Feel free to contact us if you have any questions.

-- 
Assoc. Prof. Vitomir Štruc, PhD
Laboratory for Machine Intelligence
Faculty of Electrical Engineering
University of Ljubljana
Slovenia
Tel: +386 1 4768 839
Fax: +386 1 4768 316
URL: luks.fe.uni-lj.si/nluks/people/vitomir-struc/


Finance Chair: Automatic Face and Gesture Recognition 2019

Guest editor: Image and Vision Computing SI: Biometrics in the Wild

    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2