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IDIAP RESEARCH INSTITUTE

The Institute is among the leaders in artificial and cognitive intelligence
since 1991.

Voice and visual recognition, machine learning, human-machine interaction,
robotics, language analysis, or bio-imaging are some of the research fields at
the Institute. Based in Martigny, in the Swiss Alps, Idiap is involved in
research projects at local, national and international levels. Established as a
non-profit foundation, Idiap was founded by the City of Martigny, the Canton du
Valais, EPFL, the University of Geneva, and Swisscom, with the support of the
Dalle Molle Foundation.





More about Idiap





LATEST NEWS

tech — Nov 02, 2023 Enhanced vine pruning thanks to artificial intelligence and
augmented reality
research — Oct 17, 2023 A study about the generalization of mood inference
models distinguished by an award
research — Sep 26, 2023 How urban crowdsourcing platforms draw a world map of
citizen contributions
institute — Sep 05, 2023 A boost for innovation and industrial relations
institute — Aug 28, 2023 ICC 2023 hackathon winners announced

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JOB OPENINGS

Idiap offers a various range of jobs ranging from research to informatics
engineering, IT support and admin. To keep the pace with our constant growth, we
are regularly hiring. Check regularly our openings.























Last openings R&D Research Assistant in Robotics and AI F/H Two PhD student
positions in the field of speech signal processing and machine learning for
pathological speech enhancement. F/H Ph.D. in Machine Learning Fairness applied
to Medical Images F/H Intern position - Biometrics Security and Privacy (BSP)
Group F/H

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OUR EVENTS

Idiap organizes various events open to the public, such as conferences and
workshops. You will fin below our latest upcoming and past events.

 * Perspectives on AI Symposiums - AI and Security
 * A Critical Systems Thinking approach to implementing ethics in a medical AI
   app
 * Idiap Create Challenge 2023 final pitches
 * Idiap Create Challenge 2023 opening ceremony
 * Perspectives on AI Symposiums - Beyond deep learning: Learning from small and
   heterogeneous data

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