Connectionists: [job] Bioinformatician with focus on research support in image analysis (Stockholm, Sweden)

[Kevin Smith]

Job description

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

Application

Log into KTH's recruitment system in order to apply to this position.

https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/
jobID:185845/where:4/

You are responsible to ensure that your application is complete according
to the ad. Your complete application must be received at KTH no later than
the last day of application.

Applications shall include the following documents:

1. Statement of interest including a brief description of experience in
bioimage analysis 2. Curriculum vitae

3. Reference contact information

4. Representative publications (or other example of scientific writing)

Please observe that all material needs to be in English.

KTH Royal Institute of Technology

KTH Royal Institute of Technology in Stockholm has grown to become one of
Europe’s leading technical and engineering universities, as well as a key
centre of intellectual talent and innovation. We are Sweden’s largest
technical research and learning institution and home to students,
researchers and faculty from around the world. Our research and education
covers a wide area including natural sciences and all branches of
engineering, as well as in architecture, industrial management, urban
planning, history and philosophy.



Department information
The position will be formally placed with the department for Computational
Science and Technology (CST) at KTH, but work will be carried out at the
Science for Life Laboratory. The CST department conducts research to
understand and model physical and biological systems using computational
techniques, which require efficient, high performance algorithms and
implementations together with advanced visual analysis capabilities. For
more information go to https://www.kth.se/en/csc/forskning/cst. The Science
for Life Laboratory (SciLifeLab) is a collaboration between four
universities in Stockholm and Uppsala: Karolinska Institutet, KTH,
Stockholm University and Uppsala University. It combines advanced
technology with broad knowledge in translational medicine and molecular
life sciences. Since 2013, SciLifeLab has a mission from the Swedish
government to run infrastructure to support researchers nationally and to
be an internationally leading center for large-scale analyses in molecular
life sciences targeting research in health and environment. For more
information, visit https://www.scilifelab.se/.
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