postdoc / scientific staff
Postdoctoral Position in
Bioimage Analysis (m/f/d)
Domain-adaptive Machine Learning for Nanoscale Microscopy Image Analysis
Team
Kainmueller Lab
The Max Delbrück Center for Molecular Medicine in the
Helmholtz Association (MDC) is one of the world’s leading
biomedical research institutions. Max Delbrück, a Berlin
native, was a Nobel laureate and one of the founders of molecular
biology. At the MDC’s locations in Berlin-Buch and Mitte,
researchers from some 60 countries analyze the human system –
investigating the biological foundations of life from its most
elementary building blocks to systems-wide mechanisms. By
understanding what regulates or disrupts the dynamic equilibrium
in a cell, an organ, or the entire body, we can prevent diseases,
diagnose them earlier, and stop their progression with tailored
therapies. Patients should benefit as soon as possible from basic
research discoveries. The MDC therefore supports spin-off creation
and participates in collaborative networks. It works in close
partnership with Charité – Universitätsmedizin Berlin in the
jointly run Experimental and Clinical Research Center (ECRC), the
Berlin Institute of Health (BIH) at Charité, and the German Center
for Cardiovascular Research (DZHK). Founded in 1992, the MDC today
employs 1,600 people and is funded 90 percent by the German
federal government and 10 percent by the State of Berlin.
Job description
Nanoscale 3d microscopy techniques like cryo electron tomography
and cryogenic soft X-ray tomography are currently at the forefront
of facilitating novel scientific findings across a range of
research fields and applications. However, automated analysis of
the terabytes of 3d image data acquired during a typical recording
is still an unmet challenge. In the Helmholtz Imaging Platform
project SyNaToSe, eight groups from six Helmholtz centers in the
research fields Health and Matter are joining forces to leverage
synergies in their image analysis efforts. Respective image data
ranges from cryo electron tomography of cell ultrastructure to
synchrotron radiation X-ray tomography of paper fibers. This
diverse range of expertise and data forms an exceptional basis for
developing an innovative methodological approach that tackles the
current main bottleneck hindering the application of ML in the
context of innovative imaging techniques, namely its demand for
manually defined training data.
We are seeking a Postdoctoral Researcher with a background in
computational image analysis to take the lead in this
collaborative endeavor and devise methodology for domain-adaptive
machine learning for automated image segmentation of nanoscale
microscopy data. The position is situated in the Kainmueller lab
for Biomedical Image Analysis at the MDC Berlin, and foresees
research stays with project partners at the German Research Center
for Environmental Health in Munich and at the DESY in Hamburg.
Requirements
-
Background in machine learning for image analysis / computer
vision
- PhD in a relevant field
-
Experience with deep learning for image segmentation is a plus
- Experience with microscopy data is a plus
We offer
-
International working environment with communication in English
and German
-
Interesting career opportunities and a comprehensive range of
qualification and further training opportunities
-
Compatibility of family and career certified by the
berufundfamilie audit
-
Varied support for "New Berliners" (Welcome & Family Office)
- Company health management with fitness center
You also benefit from:
-
A remuneration in accordance with the collective agreement for
the federal public service (TVöD-Bund), including
additional company pension schemes
- Flexible working hours
-
An idyllic green campus in Berlin Mitte, which is easily
accessible by bicycle or public transport
Salary
TVöD 13
Employment volume
Full Time
Desired starting date
December 1, 2021
Limitation
fixed term, 2-year position
Application Period
November 12, 2021
The MDC is committed to diversity and actively promotes equal
opportunities for all employees regardless of their origin,
religion, ideology, health impairment, age or sexual identity. We
look forward to receiving applications from open-minded people who
enjoy working in diverse teams. Applications from severely
disabled persons will be given special consideration.
Contact
Dagmar Kainmueller
Biomedical Image Analysis
dagmar.kainmueller@mdc-berlin.de
Please use our
online portal
and submit your application as one pdf file (5 MB max, including a
cover letter, CV, references as well as relevant educational and
degree certificates).