Image processing collaborator - BioImaging & Optics Platform

 
Published
WorkplaceLausanne, Lake Geneva region, Switzerland
Category
Position

Description

The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.

Image processing collaborator - BioImaging & Optics Platform

Your mission :
The BioImaging & Optics Platform (BIOP) at the School of Life Sciences of the Swiss Federal Institute of Technology Lausanne (EPFL) offers a position in image processing to complement the existing team.
The BIOP enables access to state-of-the-art light microscopes for scientists within and outside the School, thus supporting the research community and helping answer biological questions with state-of-the-art light microscopes and image processing workflows.

The BIOP is responsible for training users and giving them advice on light microscopy methods, as well as for maintaining instruments. The BIOP is equipped with state-of-the-art microscopes such as widefield fluorescence microscopes, point scanning confocal microscopes and multi-beam scanning microscopes. Newly emerging technologies like Stimulated Emissions depletion (STED), Structured Illumination Microscopy (SIM) and point localization based approaches (STORM, PALM) are also offered. Further information regarding the platform including the detailed list of equipment can be found under: http://biop.epfl.ch/ .

Main duties and responsibilities include :
The person filling this position will extend the existing team in the field of image processing and image analysis. The postholder will in particular be responsible to install, maintain and support an image database (OMERO) for EPFL users. This will include interaction and support of end users, as well as
development and implementation of long-term image data management strategies.

Your profile :
The suitable candidate is expected to have a university degree (preferably master or higher) in a related area. Being able to understand and explain underlying principles of image processing in the biology is a must. Proven programming experience in relevant languages like (e.g. Python, Java) and knowledge in deep-learning approaches for life sciences, as well as experience with databases and their management is an asset.

We offer :

  • Opportunity to work in a cutting-edge imaging platform.
  • Opportunity to interact with world-leading industry companies for image processing
  • EPFL is an equal-opportunity employer. Candidates will be recruited on merit only.
  • We offer a competitive salary commensurate with skills and experience, and subject to EPFL salary scale.


Start date :
01.07.2020

Term of employment :
Fixed-term (CDD)

Duration :
One year, renewable

For additional information, please contact M. A.Seitz by e-mail to arne.seitz epfl.ch

Remark :
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered.

Web

 
In your application, please refer to myScience.ch and reference JobID 47982.


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