Category Archives: news

Post-doc position on grey-box machine learning (currently open)

The Data Mining and Machine Learning group (http://dmml.ch/) at the University of Applied Sciences in Geneva has an opening for a full-time post-doc position. The research target is to develop grey-box (hybrid) machine learning methods that combine data-driven models such … Continue reading

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2022 Retrospective

The year 2022 is at its last days, and this is a good opportunity for wrapping up the activities of our group, as they occurred within 2022. 2022 was a very refreshing year for the DMML group, and the following … Continue reading

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Four new research projects!

The second half of 2022 has been very exiting! Our team has kicked-off 4 new research projects. In short, the projects are the following ones: EO4EU: a Horizon Europe project related to Earth Observation Automated Bridge Defect Recognition: an Innosuisse … Continue reading

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Dmml is growing by the addition of three new team members

We are delighted to announce that our team has grown, as three new members have joined us within the last months. Dr. Nils Schaetti has joined our team this Fall. Nils holds a PhD from the University of Neuchâtel and … Continue reading

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Research visits and international collaborations in our group

The last couple of weeks have been very vivid for our group, as we had the pleasure of welcoming two esteemed fellow researchers that visited us, Mr. Antoine Wehenkel from the University of Liège (Belgium) and Ms. Aicha Karite from … Continue reading

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Post-doc position on generative models for inverse problems and simulation-based inference (Closed position).

We have an opening for a full-time post-doc position. The research target is to develop machine learning methods to solve inverse problems accounting for the inherent uncertainty of the inverse problem. We will formulate these problems as inference problems with … Continue reading

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PhD position on generative models for inverse problems and simulation-based inference (Closed position).

We have an opening for a PhD position. The research target is to develop machine learning methods to solve inverse problems accounting for the inherent uncertainty of the inverse problem. We will formulate these problems as inference problems with prior … Continue reading

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Post-doc position on generative models for discrete data structures (Closed position)

We have an opening for a full-time post-doc position on a research project on the development of generative models for discrete data structures, such as graphs and in particular molecules. We seek to develop generative models capable of conditional generation … Continue reading

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PhD position on generative models for discrete data structures (Closed position)

We have an opening for a PhD position. The research target is the development of deep generative models for discrete data structures such as graphs and in particular molecules. We seek to develop generative models capable of conditional generation as … Continue reading

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LiBertaS: New research project funded by the Halser Foundation

We are very pleased to announce that the Hasler Foundation has approved the project proposal of Dr. Grigorios Anagnostopoulos, and will fund the project "LiBertaS". LiBertaS aims to liberate the access of Location Based Services (LBS) to the highly accurate … Continue reading

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