École Polytechnique Fédérale de Lausanne
3 days ago
Postdoc Position in Generative AI for Computer Vision and Human-Robot Interaction 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 offered.
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 Generative AI within the Laboratory of Visual Intelligence for Transportation (VITA) in Lausanne, Switzerland.
The project sits at the intersection of Computer Science, Computer Vision, Machine Learning / Deep Learning, and Human-Robot Interaction. The successful candidate will develop new methods for real-time video generation, digital twins, and human-like avatars.
Eligibility highlights include a PhD in Computer Vision, a background in Computer Science, research experience in gen AI and deep learning, strong computational and analytical skills, experience with large datasets, and strong English communication skills. The role is described as independent, creative, solution-oriented, and collaborative.
The position is a fixed-term postdoc for 24 months at 100% activity rate. EPFL states that it offers a dynamic, interdisciplinary, and international research environment, with competitive salary and excellent working conditions.
Applications must be submitted through the online platform only. Applicants should prepare a brief cover letter, a CV with publication list, a research statement, and contact details for three referees. For questions, the contact person is 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 offered.
What's required
PhD in Computer Vision; background in Computer Science; research experience in generative AI and deep learning; 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 (up to 2 pages), one PDF containing a CV with publication list and a research statement (up to 3 pages), and contact details for 3 referees.
More information can be found here
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