[visionlist] PhD Positions in Image/Video Domain Translation, Restoration and Enhancement, Learned Compression @ ETH Zurich

Radu Timofte timofte.radu at gmail.com
Mon Oct 29 08:51:35 -05 2018

*Open PhD Student Positions in Domain Translation, Restoration and
Enhancement, and Learned Compression at ETH Zurich*

The Computer Vision Laboratory <http://www.vision.ee.ethz.ch/en/> from ETH
Zurich <https://www.ethz.ch/en/the-eth-zurich/portrait.html>, led by Prof.
Luc Van Gool, has open PhD student positions in image/video domain
translation, image/video restoration and enhancement, and learned
image/video compression.

At ETH Zurich, students <https://www.ethz.ch/en/studies.html#par_textimage>
discover an ideal environment for independent thinking, researchers
<https://www.ethz.ch/en/research.html#par_textimage> a climate which
inspires top performance. Situated in the heart of Europe, yet forging
connections all over the world, ETH Zurich is pioneering effective solutions
<https://www.ethz.ch/en/industry-and-society.html#par_twocolumn_0> to the
global challenges of today and tomorrow.
Computer Vision Laboratory <http://www.vision.ee.ethz.ch/en/> and ETH in
general are an exciting environment for research. Zurich typically ranks
1st or 2nd on the world list of nicest cities to live in.
Members of the lab already won best paper awards at top conferences (ICCV,
CVPR, ACCV, ICRA, ....), founded successful spinoffs, and/or collaborated
with industry.
Computer Vision Laboratory <http://www.vision.ee.ethz.ch/en/> is a highly
international team, with people from about 15 countries.

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

*Research Topics*:

   - deep learning
   - generative models (GANs, VAEs)
   - computational photography
   - image/video domain translation
   - learned image/video compression
   - image/video enhancement
   - supervised learning
   - unsupervised learning
   - multi-task learning
   - active learning
   - reinforcement learning
   - conditional modeling
   - context modeling
   - motion prediction

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 PhD candidate will also collaborate with industry.


   - 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.

The positions are open immediately, fully funded, the salaries of the
doctoral students are at the level of 70'300 CHF (1st year), 75'300 CHF
(2nd year), 80'320 CHF (3rd year).

Interested applicants should email asap their PDF documents (including CV,
diplomas, transcripts of records) to Radu Timofte,
radu.timofte at vision.ee.ethz.ch
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