Connectionists: [job] Bioimage analyst position in Stockholm, Sweden

Kevin Smith ksmith at kth.se
Thu Jul 26 14:24:08 EDT 2018


We are looking for a PhD with a keen interest in implementation and
adaption of image analysis algorithms for quantitative analysis of
microscopy data to join the SciLifeLab BIIF (
https://www.scilifelab.se/facilities/bioimage-informatics/). You will work
in short and long-term projects, providing research support and education
in image analysis. The BIIF has nodes in both Uppsala and Stockholm, but
the assignment includes services to researchers at other universities in
Sweden as well. The job includes involvement and organization of courses
and workshops in digital image processing and analysis with life science
applications. Supervision of master thesis students is part of the
assignment. 20% time will be spent supporting projects at the LCI facility
in Huddinge.

*Qualifications*

A PhD in computer vision/image processing (or equivalent), or a PhD in
bio-medicine/biology (or equivalent), combined with documented experience
of computer programming and development of digital image analysis solutions
is required. In addition, the following qualifications are considered
highly desireable:

   - Experience with analysis software such as Imaris, ImageJ/Fiji,
   CellProfiler, NIS and Amira
   - Experience with algorithm development and development of analysis
   pipelines aiming to quantify and classify biological parameters extracted
   from microscopy data of e.g. cells and microorganisms in cultures and
   tissue samples
   - Experience in medical image analysis
   - Experience with teaching and student supervision
   - Proficiency with a scientific programming language (Python, R, or
   Matlab)
   - Excellent English communication skills, both spoken and written, as
   well as excellent interpersonal skills Other meriting experiences and skills
   - Postdoctoral experience in image analysis, within or outside academia,
   especially focused on methods development
   - Familiarity with deep learning frameworks like Keras, TensforFlow, or
   PyTorch

For more information, visit
https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:214271/where:4/
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