École Polytechnique Fédérale de Lausanne
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Postdoc in 3D Computer Vision and Remote Sensing at EPFL École Polytechnique Fédérale de Lausanne in Switzerland
Degree Level
Postdoc
Field of study
Computer Science
Funding
Fixed-term postdoctoral contract for 24 months at 100% activity rate. Competitive salary and excellent working conditions are mentioned; no stipend amount is specified.
Country
Switzerland
University
École Polytechnique Fédérale de Lausanne

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About this position
EPFL (École Polytechnique Fédérale de Lausanne) is advertising a postdoctoral position in 3D Computer Vision and remote sensing within the Laboratory of Visual Intelligence for Transportation (VITA).
The lab’s research sits at the intersection of Computer Vision, Machine Learning / Deep Learning, and Human-Robot Interaction, with the successful candidate expected to develop new methods for remote sensing and work with aerial imagery and large datasets.
Eligibility highlights: applicants should hold a PhD in Computer Vision, have a background in Computer Science, and bring research experience in 3D Computer Vision, remote sensing, and aerial imagery. Strong computational and analytical skills, independence, creativity, teamwork, and good English communication skills are required.
Funding and contract: this is a fixed-term postdoc contract for 24 months at 100% activity rate. EPFL notes a competitive salary and excellent working conditions, but no exact salary amount is given.
How to apply: submit the application only through the online platform. Prepare a brief cover letter (up to 2 pages), a CV with publication list, a research statement (up to 3 pages), and contact details for 3 referees.
Contact: Prof. Alexandre Alahi ([email protected]).
Funding details
Fixed-term postdoctoral contract for 24 months at 100% activity rate. Competitive salary and excellent working conditions are mentioned; no stipend amount is specified.
What's required
PhD in Computer Vision; background in Computer Science; research experience in 3D Computer Vision, remote sensing, and aerial imagery; strong computational and analytical skills; experience handling large datasets; independent, creative, and solution-oriented; good interpersonal skills and ability to work in a team; good written and spoken English.
How to apply
Apply only through the online platform. Submit a brief cover letter, a CV with publication list, a research statement, and contact details for 3 referees.
More information can be found here
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