The Stochastic Information Processing Group (SIP) (http://sip.unige.ch), University of Geneva, Switzerland, has two open PhD positions in machine learning.
The PhD positions are fully funded for two years from the Swiss National Science Foundation with an extension up to 5 years.
The successful applicants will be involved into a research project related to the development of machine learning based image processing methods in applications to digital forensics like deep fake detection, anti-counterfeiting including robustness to adversarial attacks and advanced imaging.
The project concerns fundamental research on the development of new machine learning methods for universal image processing using generative models. Additionally, the project covers the development of new machine learning methods based on variational information bottleneck framework. 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.
October 1, 2020
Applications should include a CV, two recommendation letters, diploma with grades and motivation letter that should indicate (up to 7 lines per item):
Pre-selected candidates will be invited for a skype interview.
|Titel||PhD positions: Machine Learning for Imaging and Security|
|Employer||University of Geneva|
|Job location||Rue du Général- Dufour 24, 1211 Genève|
|Veröffentlicht||Februar 21, 2020|
|Jobart||PhD/ Doktorand/in  |
|Fachbereiche||Cyber Security,   Theoretische Physik,   Elektrotechnik,   Computergestütze Mathematik,   Maschinelles Lernen,   Signalaufbereitung,   Bildverarbeitung  |