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