Connectionists: Open Positions for PhD Students and PostDocs in Computer Vision and Machine Learning

[Radu Timofte]

PostDoc and PhD Student Open Positions in

Computer Vision, Image Processing, and Machine Learning
(Apologies for cross-postings.)

The Computer Vision Laboratory led by Prof.Dr. Radu Timofte, from the newly
established Center for Artificial Intelligence and Data Science
<https://www.uni-wuerzburg.de/caidas/home/>, University of Wurzburg, is
looking for outstanding candidates to fill several computer vision and
machine learning fully-funded postdoc and PhD student positions
<http://people.ee.ethz.ch/~timofter/jobs/OpenPositionsJMU.pdf>.

Julius Maximilians University of Würzburg (JMU), founded in 1402, is one of
the leading institutions of higher education in Germany and well-known on
the international stage for delivering research excellence with a global
impact. The University of Würzburg is proud to be the home of outstanding
researchers and fourteen Nobel Prize Laureates. Würzburg is a vibrant city
in Bavaria, Germany’s economically strongest state and home base to many
international companies. We look forward to welcoming you to the University
of Würzburg!

Computer Vision Laboratory and University of Würzburg in general are an
exciting environment for research, for independent thinking. Prof. Radu
Timofte’s team is highly international, with people from about 12
countries, and the members have already won awards at top conferences
(ICCV, CVPR, ICRA, NIPS, ...), founded successful spinoffs, and/or
collaborated with industry. Prof. Radu Timofte is a 2022 winner of the
prestigious Humboldt Professorship for Artificial Intelligence Award.
<https://www.humboldt-foundation.de/en/explore/newsroom/press-releases/top-international-scientists-to-strengthen-research-work-in-germany>
Prof. Radu Timofte also leads the Augmented Perception Group
<https://people.ee.ethz.ch/~timofter/> at ETH Zurich.

Depending on the position, the successful candidate will focus on a subset
of the following

Research Topics:

• deep learning

• computational photography

• domain translation

• learned image/video compression

• image/video super-resolution

• learning paradigms

• image/video understanding

• augmented and mixed reality

• edge inference and mobile AI

The tasks will involve designing, developing, and testing novel ideas in
cutting-edge research, as well as coordinating and conducting data
collection for their evaluation.

The successful candidate will conduct research on deep learning machines
and a new cluster with hundreds of GPUs.

The successful candidate will also collaborate with industry.

Profile

• Master's degree in computer science, electrical engineering, physics or
applied mathematics/ statistics.

• Good programming knowledge and experience with Python / C++ / MATLAB.

• Interest, prior knowledge and experience in one or more of the following
is a plus: computer vision, deep learning, machine learning, image
processing.

• Enthusiasm for leading-edge research, team spirit, and capability of
independent problem-solving.

• Fluent written and spoken English is a must.

• Postdoc applicants are expected to have a strong track of published
research, including top, high impact, journal (such as PAMI, IJCV, TIP,
NEUCOM, JMLR, CVIU) or conference (such as ICCV, CVPR, ECCV, ICRA, NeurIPS,
ICLR) papers.

Timeline

The positions are open immediately, fully funded, the salaries of the
doctoral students and postdocs are competitive on the German scales TV-L
E13 and E14, up to 60k euros per year, before tax.

Typically a PhD takes ~4 years to complete and a PostDoc position is for at
least 1 year.

Applications will be reviewed on a rolling basis until all positions are
filled.



Application

Interested applicants should email asap their PDF documents (including CV,
diplomas, transcripts of records, referees / recommendation letters, etc.)
to Prof.Dr. Radu Timofte, radu.timofte at uni-wuerzburg.de or
radu.timofte at vision.ee.ethz.ch
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