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Postdoc Job in Ocean state imaging – EPFL, Switzerland 2022


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The Extreme Environments Research Laboratory (EERL) and the Visual Intelligence for Transportation lab (VITA) are collaborating on an interdisciplinary imaging project “3DEarthNavigation” to jointly tackle challenges linked to 3-dimensional reconstruction of surfaces from images for Earth system science and autonomous navigation.


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General Info

Position: Postdoc
No. of Positions: 1
Research Field: , , ,
Joining Date: ASAP
Contract Period: 1 year

The Extreme Environments Research Laboratory (EERL)

École Polytechnique Fédérale de Lausanne, EPFL, Switzerland (The Extreme Environments Research Laboratory (EERL) )

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Qualification Details

  • A PhD in computer science, atmospheric science, oceanography, physics or a related field
  • Strong background in image processing and coding skills
  • If not from an Earth science background, a strong will to learn about and apply ocean-atmosphere interaction knowledge; if not from a computer science background, a strong will to learn and apply image processing
  • Good interpersonal skills, team player.
  • Good knowledge of English (written and spoken)
  • Experience in handling large data sets

Responsibilities/Job Description

  • modify existing code or create new one to derive wave characteristics from stereo images taken on moving platforms (motion correction by applying IMU data)
  • derive wave variables (white caps, steepness, height, age, frequency...) from the reconstructed ocean surface
  • derive sea ice features from the images
  • relate wave and sea ice observations with aerosol number concentration
  • Image data curation
  • Open access publication of the data sets and code
  • Publication of scientific manuscripts
  • Hold a knowledge transfer workshop for the EPFL community
  • Tightly collaborate with the tandem postdoc at VITA

How to Apply?

Application Method: Online Application
Ref. No.: Nb 2125

Application Procedure

For the application, please submit a motivation letter including your interests and qualifications, a CV and publication list.

About the Project

Earth system science and autonomous navigation sound unrelated and yet they both share the critical need to scan the world for 3D reasoning. In Earth system science, it is crucial to scan water surfaces in search of small-scale processes (e.g., waves breaking) and objects floating on them (e.g., sea ice) to advance knowledge and model capacity to predict global climate change. For autonomous navigation (e.g., self-driving cars, delivery robots, assisted navigation), it is fundamental to detect and locate objects in 3D (e.g., icebergs/ships on the ocean, or pedestrians/vehicles on the roads) to plan a safe yet efficient navigation.This position will focus on the Earth system science component of the project and is hosted by EERL in Sion. The successful candidate will reconstruct Arctic ocean surfaces from planar stereo images to derive wave variables (steepness, height, age, frequency...) and sea ice features. You will work very closely with the tandem postdoc position in the VITA lab.

The EERL focuses on understanding natural and anthropogenic atmospheric processes, as well as exchange processes between the atmosphere and cryosphere, ocean and (inhabited) land that have climate impact and are impacted by climate. EERL forms part of EPFL’s new Alpine and Polar Environments Research Centre (ALPOLE) in Sion.

About the Employer: École Polytechnique Fédérale de Lausanne, EPFL, Switzerland

Note or Other details

  • A dynamic, interdisciplinary and young research group.
  • A vibrant, internationally visible and rising academic institution in alpine and polar environments research.
  • A great working atmosphere and ample opportunities for professional and personal development with access to many continuing education courses.

Only candidates who applied through EPFL website or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account.

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Contact details

Not mentioned

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Published on: | Last Updated: Jan 13, 2022 | at nViews Career by nViews Career Team