[visionlist] Call for applications: PostDoc position funded by the SMASH MSCA Program
vitomir.struc at fe.uni-lj.si
Mon Feb 27 08:59:13 -04 2023
Call for applications:
PostDoc position funded by the SMASH MSCA Program
The Faculty of Computer and Information Sciences, University of
Ljubljana, Slovenia is looking for a strong candidate to join the
Computer Vision Laboratory as a Post-Doctoral fellow to work with Prof.
Dr. Peter Peer. Specifically, in problems related to deep learning in
computer vision and biometrics applicable to the fields of linguistics
and/or precision medicine. The work will be done jointly with the
Laboratory for Machine Intelligence (Prof. Dr. Vitomir Štruc).
This opening is in response to the 2023 SMASH (machine learning for
science and humanities) MSCA postdoctoral program, which aims to sponsor
high-quality postdoctoral projects in a few selected universities. More
details may be found on https://smash.ung.si/. One selected candidate
will be nominated for the SMASH PostDoc funding scheme and upon
successfully securing funds will be enrolled in the program. The program
includes a two-year position with a highly competitive salary.
Interested candidates in joining the program are invited to send the
following application documents as one PDF file
to peter.peer at fri.uni-lj.si by March 13 2023:
• Cover letter / letter of motivation briefly describing the
motivation for the application.
• Detailed CV highlighting any experience in image/video processing,
computer vision, biometrics, and deep learning including prior
• The names and contact details of at least two referees willing to
provide support letters.
Female candidates and candidates from other underrepresented groups in
Computer Science and Electrical Engineering are especially encouraged to
apply. For any questions, please contact the academic supervisor:
Prof. Dr. Peter Peer
Head of the Computer Vision Laboratory
Faculty of Computer and Information Sciences, University of Ljubljana,
peter.peer at fri.uni-lj.si
#postdoc #deeplearning #computervision #biometrics #machinelearning
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