Location: Tübingen, Germany
Type: Academic staff
Scientist / Microscopist / Image Analyst*
to join our Molecular Imaging Group of the department of Cellular Neurology at the Hertie Institute for Clinical Brain Research in Tübingen, Germany ( http://www.hih-tuebingen.de/cn/).
You will work on different types of microscopes (2photon-, fluorescence-, laser scanning-microscopes). Projects in the group include e.g. long-term intravital and slice culture imaging experiments, as well as projects involving characterisation of newly developed fluorophores.
Responsibilities of the position include the maintenance, user training and continued development of our microscope setups as well as support in image analysis.
Applicants with a keen interest in implementation and adaption of image analysis algorithms for quantitative analysis of microscopy data will be preferred. The applicant is expected to hold a PhD or have long-term equivalent experience in techniques using light and fluorescence microscopy, image analysis and will need to have or develop an excellent understanding of confocal and 2-photon microscopy.
We encourage interdisciplinary work and are seeking enthusiastic and ambitious candidates holding a PhD in Physics/Engineering, Statistics/Bioinformatics or Biological sciences to apply. A keen interest in microscopy, as well as in image analysis should be demonstrated. Good communication as well as English language skills are also required.
- an interesting and challenging task in a research institute that works on the future topics of health research.
- an international environment characterised by a strong focus on science and research.
- a high potential for individual development.
The position is available immediately and initially limited to 2 years.
Employment, payment and social benefits are determined by the Public Sector Collective Agreement (Tarifvertrag für den öffentlichen Dienst der Länder– TV-L).
Interested applicants should address their application to Dr. Angelos Skodras (firstname.lastname@example.org <email@example.com>).
Applications should be submitted as a single PDF file by email, containing a cover letter stating their background and motivation for this position, as well as a CV and publication list (if available) as soon as possible.
Applications close on the 29.03.2018.