About the ELMI

ELMI was created in 2001 to establish a unique communication network between European scientists working in the field of light microscopy and the manufacturers of their equipment.

Bioimage Analyst and Python programmer at Danish BioImaging Infrastructure Image Analysis Core Facility (DBI-INFRA IACF), Denmark

The Danish BioImaging Infrastructure (DBI-INFRA) is a multi-sited national research infrastructure that includes ten bioimaging facilities giving open access to a broad portfolio of technologies; from clinical to single molecule imaging. The DBI-INFRA is the Danish node for the ERIC Euro-BioImaging. Funded by the Ministry for Higher Education and Research, DBI-INFRA will implement and develop new open access bioimaging technologies to support life scientists across Denmark and Europe.

The DBI-INFRA Image Analysis Core Facility is hiring a team of two to implement open access Image analysis services to be accessible from any of the DBI-INFRA bioimaging facilities. We are looking for a highly motivated and independent BioImage Analyst to be hired at the Facilty of Health and Medical Sciences and for a highly motivated and independent Python programmer to be hired at Department of Computer Sciences. Both candidates will work as a team at the University of Copenhagen. The successful candidates will join the team with effect from February 1st 2023 or as soon as possible thereafter. Please state clearly in your cover letter for which of the positions you are applying or whether you would like to be consider a candidate for both of them.

DBI-INFRA is looking for candidates with strong problem-solving mindset, and drive to learn and collaborate in multidisciplinary environments. The main workplace will be the newly created Image Analysis Core Facility (IACF) at the DBI-INFRA Hub in the Faculty of Health Sciences (Copenhagen University). This unique national core facility will gather a team of experts dedicated to service in bioimage analysis. The team will work supporting Life Science research groups and bioimaging facilities, analyzing a broad range of scientific datasets by leveraging the local computing infrastructure, creating new image analysis workflows and computing solutions by teaming up with computer scientists at DIKU and DTU, and promoting collaboration and FAIR share of image datasets within the Danish Bioimaging community.

For additional information please check the job offer.
Application deadline: 28 November 2022, 23.59 CET