Header image Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V.

The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases, autoimmune diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry, pharmacology, physics, and computer science. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states.

At our location in Dortmund we invite applications for a

Scientist / Postdoc (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM)

You will be responsible for:

Develop scalable microscopy image analysis workflows for real interdisciplinary applications in biomedical research
Develop multi-modal machine learning algorithms for integrating multi-omics analytical data and microscopy image data
Establish FAIR microscopy data management system within the institute
Work with software engineers and students in the team to build public AI-ready data portal
Coordinate interdisciplinary cross-team projects and lead the development of computational tools
Report findings and methods in conference and journal papers
Conduct software demo and tutorials at national and international workshops

Your profile:

University degree in computer science/computer engineering/statistics/applied mathematics/data science/biomedical engineering or of relevant scientific field
A solid background in machine learning
Extensive experience in either general computer vision or microscopy image analysis
Extensive hands-on skills with Python and PyTorch
Experience with foundation models (vision large models or multi-modal large language models)
Good presentation and writing skills
Proactive, independent, and solution-oriented way of working
Fluent English (spoken and written)
Publications at top-tier computer vision conference or journals is a plus
Experience with open-source software development is a plus

We offer:

Scientific development opportunities in an international cooperative, interdisciplinary research environment and an excellent working atmosphere in a very dynamic and professional team
Extensive state-of-the-art equipment and infrastructure, including sufficient GPUs for machine learning model development
The opportunity to present your data on international conferences and participate in workshops
A wide range of opportunities for further training and qualifications
Flexible working times, mobile working and attractive social benefits
Support in finding balance between work and family life (including finding childcare facilities, advice on caring for relatives) through a family service
Workplace health promotion and support for participation in TU Dortmund University sports activities

Non-residents who apply for this job will receive help from the institute to find accommodation and to handle authorities. Applications from disabled applicants are welcome. ISAS supports the principle of equal opportunity for all employees and therefore particularly encourages women to apply.

The salary will be according to the German TV-L. The full-time position is available immediately and offered for three years. The position is generally suitable for part-time.

ISAS collects and processes the personal data of its applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at www.isas.de/datenschutzhinweise-fuer-bewerberinnen-und-bewerber.

The closing date for applications is December 12, 2024. Please apply via the apply button. Informal requests (reference number 333_2024) are welcome and can be directed to the Human Resources team (bewerbungen(at)isas.de). Further information about the institute can be found at: http://www.isas.de/en.

Apply now

Full-Time / Part-Time , Permanent

Specialist

Updated at 11/12/2024

While applying for the job please refer to jobvector and use the following reference number: 333_2024