Connectionists: [Job] Postdoc in deep learning for histopathological image analysis at KTH and SciLifeLab in Stockholm

[Kevin Smith]

Job description:


This position is part of a collaboration with pathologists from the
Karolinska University Hospital. The main task will be to develop novel
computational methods to analyze histopathological images of breast cancer
tissue from the Karolinska tissue biobank. The successful applicant will
develop methods to recognize and categorize morphological growth patterns
of cancer cells within histopathological images. The goal is to find
correlations between these growth patterns and patient outcome. If
successful, these patterns may serve as powerful predictors for patient
treatment. One of the main responsibilities of the position will be to
develop convolutional neural networks (CNN) and statistical methods capable
of recognizing and categorizing morphological patterns from tissue image
data.


Qualifications

Candidates must have a PhD in computer science, computational science, or a
related field and proven experiences in implementing, analyzing, and
optimizing scientific applications for image analysis. Good knowledge of
standard computer vision techniques and a deep learning framework (Theano,
Tensorflow, Caffe, Torch) is required. Programming knowledge of a related
scientific computing language (R, Matlab, Python, Lua, C++) is also
required. Experience with parallel programming environments and cloud
computing is a plus. Previous experience working with medical or biological
images is also desirable.


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:112608/where:4/). You are responsible to ensure that your application
is complete according to the ad.

Applications shall include the following documents:

Cover letter
Curriculum vitae
Transcripts from university
References
Representative publications (optional)

Please observe that all material needs to be in English.

Your complete application must be received at KTH no later than 01.Oct.2016
11:59 PM CET

About KTH and Science for Life Laboratory:

KTH Royal Institute of Technology in Stockholm (www.kth.se) is 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. The position will be formally placed with
the department for Computational Science and Technology (CST) at KTH (
https://www.kth.se/en/csc/forskning/cst), but work will be carried out at
the Science for Life Laboratory (www.scilifelab.se).


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.



Other details:

Type of employment: Temporary position longer than 6 months
Contract type: Full time
First day of employment: According to agreement
Salary: Monthly salary
Number of positions: 1
Working hours: 100%
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: D-2016-0596


Contact:
Maria Widlund, HR Manager, mwidlund at csc.kth.se, +46 8 790 97 54
Kevin Smith, Assistant Professor, ksmith at kth.se, +46 8 524 812 46
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