Fully Funded PhD Position in Augmented Reality, Virtual Reality and Machine Learning methods
This job offer has expired
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ORGANISATION/COMPANYEcole Nationale de l'Aviation Civile
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RESEARCH FIELDComputer science › ProgrammingComputer science › Systems designPhysics › Computational physics
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RESEARCHER PROFILEFirst Stage Researcher (R1)
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APPLICATION DEADLINE08/05/2021 21:00 - Europe/Athens
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LOCATIONFrance › Toulouse
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TYPE OF CONTRACTTemporary
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JOB STATUSFull-time
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HOURS PER WEEK35
OFFER DESCRIPTION
We are looking for candidates for an interdisciplinary thesis on HCI and Physics.
Research teams: Interactive Computing Team of ENAC / I3EM Team of CEMES-CNRS (France)
Thesis direction: Martin Hytch (CEMES) and Sylvain Pauchet (ENAC)
Duration: 36 months, October 2021 - September 2024
Keywords : Augmented Reality, Virtual Reality, Machine Learning, trajectory simulation, immersive interactions, spatialized interactions, visualizations of temporal and spatial data, immersive analytics
The objective of the thesis is to study the use of immersive visualization (AR, VR & MR) and Machine Learning methods to optimize, control and analyze simulations of electron trajectories in a transmission electron microscope.
Link to the detailed offer: https://ihm.design/phd.pdf
If you are interested, please send an application (CV, and cover letter) to sylvain.pauchet@enac.fr and martin.hytch@cemes.fr
More Information
Web site for additional job details
Offer Requirements
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REQUIRED EDUCATION LEVELComputer science: Master Degree or equivalentPhysics: Master Degree or equivalentMathematics: Master Degree or equivalent
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REQUIRED LANGUAGESENGLISH: Good
Skills/Qualifications
- Strong interest in human-computer interaction and Machine Learning methods;
- Interest in virtual reality and augmented reality;
- Strong programming skills (Unity, C#, Python);
- Basic knowledge in the use of 3D software;
- Autonomous, motivated and rigorous.
EURAXESS offer ID: 625372
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