PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM)
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
PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM)
A new project area in the institute is the development of artificial intelligence (AI) software for biomedical image analysis and building tools for AI-based software quality assurance.
You will be responsible for
- Develop new machine learning algorithms for microscopy image analysis problems, especially intracellular structure segmentations in 2D/3D/4D microscopy images., which are driven by real applications in life science research
- Develop solutions to integrate large foundation models into microscopy image analysis and analytical data analysis workflows, together with other team members
- Implement AI-based microscopy image analysis software as python packages and napari plugins
- Develop unit-testing tools for bioimaging AI software
- Report findings and methods in conference and journal papers
- Conduct software demo and tutorials at national and international workshops
Your profile
- Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science/biomedical engineering or of relevant scientific field
- A solid background in machine learning
- Extensive experience with either computer vision or image analysis
- Good knowledge of deep learning packages, PyTorch
- Familiar with foundation models (vision large models or multi-modal large language models)
- Familiar with continuous integration, continuous development, and Github Actions
- 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
- A clear research topic as well as multifold training and support for PhD students in framework of ISAS and the Leibniz association
- Training and scientific development opportunities in an international environment and an excellent working atmosphere in a very dynamic and professional team
- Extensive state-of-the-art equipment and infrastructure in various analytical methods
- The opportunity to present your data on international conferences and participate in workshops
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 offered for 3,5 years. The position is available immediately.
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 September 21, 2024. Please apply via our applicant portal. Informal requests (reference number 314_2024) are welcome and can be directed to the Human Resources team (bewerbungen@isas.de). Further information about the institute can be found at:
http://www.isas.de/en.
Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. (ISAS)
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Deadline: 2024-09-21
Location: Germany, Dortmund, Nordrhein Westfalen
Categories: Applied Mathematics,, Biomedical Sciences, Computer Sciences, Data analysis, Data Science, Microscopy, PhD,
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