Postdoc Position in 3D Computer Vision, Remote Sensing

EPFL - Swiss Federal Institute of Technology Lausanne

Lausanne

On-site

CHF 85,000 - 110,000

Full time

14 days+

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Job summary

EPFL’s Laboratory of Visual Intelligence for Transportation (VITA) invites applications for a postdoctoral researcher position in 3D computer vision and generative AI, focused on remote sensing.

The successful candidate will develop new methods for remote sensing, exploring intersections of computer vision, machine learning, and human-robot interaction within a collaborative, interdisciplinary environment at EPFL in Lausanne.

Qualifications

  • PhD in Computer Vision is required.
  • Background in Computer Science.
  • Research experience in 3D Computer Vision, remote sensing and aerial imagery.
  • Strong computational and analytical skills; experience with large datasets.
  • Independent, creative, and solution-oriented.
  • Excellent interpersonal skills and a team player.
  • Good knowledge of English (written and spoken).

Responsibilities

  • The successful candidate will be developing new methods for remote sensing.
  • VITA research interests lie at the intersection of Computer Vision, ML (Deep Learning), and Human-Robot Interaction.

Skills

3D Computer Vision
Remote Sensing
Aerial Imagery
Deep Learning
Large Datasets
English (Written and Spoken)
Independent and Creative

Education

PhD in Computer Vision
Background in Computer Science

Job description

Postdoc Position in 3D Computer Vision, Remote Sensing

EPFL - Swiss Federal Institute of Technology Lausanne


Lausanne, Switzerland


The Laboratory of Visual Intelligence for Transportation (VITA) is looking for a postdoctoral researcher in the area of Generative AI.


VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot Interaction to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings.


The successful candidate will be developing new methods for remote sensing.


Profile


  • PhD in Computer Vision;

  • Background in Computer Science;

  • Research experience in 3D Computer Vision, remote sensing and aerial imagery;

  • Strong computational and analytical skills, as well as experience handling large datasets;

  • Independent, creative, and solution-oriented;

  • Good interpersonal skills, team player;

  • Good knowledge of English (written and spoken).

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