PhD: Microscopic BIOMedical Images: The Leibniz-Institut für Analytische Wissenschaften – ISAS – e. V. has opened applications for a scholarship opportunity in the field of Analysis of Microscopic BIOMedical Images (AMBIOM). This opportunity is aimed at a PHD CANDIDATE (M/F/D) with a focus on developing new machine learning algorithms for microscopy image analysis problems in life science research. The scholarship offers a platform to contribute to the advancement of precision medicine through innovative research and practical applications.
PhD Scholarship Opportunity: Analysis of Microscopic BIOMedical Images (AMBIOM) at Leibniz-Institut für Analytische Wissenschaften – ISAS – e. V.
Designation: PHD CANDIDATE (M/F/D): Analysis of Microscopic BIOMedical Images (AMBIOM)
Research Area: Development of machine learning algorithms for microscopy image analysis problems, particularly intracellular structure segmentations in 2D/3D/4D microscopy images, driven by real applications in life science research.
Location: Dortmund, Germany
Eligibility/Qualification:
- Master’s, Diploma, or equivalent degree in IT/computer science/statistics/applied mathematics/data science/biomedical engineering or relevant scientific field
- Solid background in machine learning
- Extensive experience with computer vision or image analysis
- Good knowledge of deep learning packages, PyTorch
- Familiarity with foundation models (vision large models or multi-modal large language models)
- Familiarity with continuous integration, continuous development, and Github Actions
- Proficient in 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
Job Description:
- Develop new machine learning algorithms for microscopy image analysis problems
- Integrate large foundation models into microscopy image analysis and analytical data analysis workflows
- 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
How to Apply: Interested candidates can apply via the applicant portal on the institute’s website. Informal requests (reference number 314_2024) can be directed to the Human Resources team at bewerbungen@isas.de.
Last Date for Apply: September 21, 2024
For further information about the scholarship and the institute, visit Leibniz-Institut für Analytische Wissenschaften – ISAS – e. V..
This scholarship offers a clear research focus, multifold training and support for Ph.D. students within the framework of ISAS and the Leibniz association. It is an exciting opportunity for individuals keen on contributing to cutting-edge research in the field of biomedical image analysis.
