Fully funded Phd position in Geneva Machine Learning and Computer Vision
University of Geneva

Fully funded Phd position in Geneva Machine Learning and Computer Vision

Switzerland 16 Jun 2021

ABOUT THE INSTITUTION

Founded in 1559 by Jean Calvin, UNIGE is dedicated to thinking, teaching, dialogue and research. With 16000 students of more than 140 different nationalities, it is Switzerlands second largest univers
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OPPORTUNITY DETAILS

State University
Area
Host Country
Deadline
16 Jun 2021
Study level
Opportunity type
PhD
Specialities
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

The Stochastic Information Processing Group (SIP) (http://sip.unige.ch), University of Geneva, Switzerland, has an open PhD position in machine learning and computer vision.

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We offer:

The PhD position is funded from the Swiss National Science Foundation with the extension up to 5 years.

The successful applicants will be involved into a research project related to the development of machine learning and computer vision.

The project concerns fundamental research on the development of new machine learning methods for universal image processing using recent generative models. Additionally, the project covers the development of new machine learning methods based on variational information bottleneck framework and self-learning. An important component of the project is a close collaboration with industry and access to real data.

The SIP group has a broad network of international collaboration and has excellent possibilities to organize scientific exchange visits and training. The SIP group has also a close collaboration with CERN in the domain of machine learning and is a part of Swiss SKA initiative.

STARTING DATE

As soon as possible

APPLICATION PROCEDURE:

Applications should include a CV, recommendation letters (if any), diploma with grades, links to your publicly available projects, codes or publications (if any).

Pre-selected candidates will be invited for a skype/zoom interview.

CONTACT

E-mail: svolos@unige.ch

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