The Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. in Dortmund, Nordrhein-Westfalen, invites applications for a PhD Candidate position focused on the Analysis of Microscopic Biomedical Images (AMBIOM). This research opportunity aims to advance the field of biomedical image analysis through the development of innovative methodologies and algorithms. The successful candidate will engage in interdisciplinary research, leveraging cutting-edge imaging techniques and computational tools to extract meaningful insights from complex biological data. This position offers a unique chance to contribute to significant advancements in healthcare and medical diagnostics. Candidates should possess a strong background in biomedical sciences, computer science, or a related field, along with a keen interest in image processing and analysis. Join us in our mission to enhance the understanding of biological processes and improve diagnostic capabilities through advanced analytical techniques.
| At-a-Glance | |
|---|---|
| Location | Dortmund, Nordrhein-Westfalen (DE) |
| Salary | The salary will be according to the German TV-L |
| Closing Date | 31 Jul 2025 |
| Discipline | Biomedicine , Computing , Mathematics |
| Job Type | PhD Position |
| Duration | Fixed term |
| Hours | Full time |
| Sector | Academia |
| Qualification | Masters |
The Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., located in Dortmund, Nordrhein-Westfalen, plays a pivotal role in advancing the field of analytical sciences, particularly in the context of biomedical research. The institute is renowned for its commitment to fostering innovation through interdisciplinary collaboration and cutting-edge research methodologies. As part of its ongoing efforts to enhance the understanding of complex biological systems, ISAS is seeking a PhD Candidate (m/f/d) for the project titled “Analysis of Microscopic BIOMedical Images” (AMBIOM).
The AMBIOM project aims to develop and refine analytical techniques for the interpretation of microscopic biomedical images, which are essential for diagnosing diseases and understanding biological processes at the cellular level. The successful candidate will engage in the development of advanced image analysis algorithms, leveraging machine learning and data processing techniques to extract meaningful information from high-dimensional image datasets. This initiative not only underscores ISAS’s dedication to improving biomedical imaging but also highlights the significance of interdisciplinary approaches in tackling contemporary challenges in health sciences.
The PhD Candidate will work closely with a team of experienced researchers and will have access to state-of-the-art facilities and resources at ISAS. This collaborative environment will enable the candidate to contribute to groundbreaking research while also facilitating personal and professional growth. By focusing on the intersection of analytical science and biomedical imaging, the AMBIOM project exemplifies ISAS’s mission to bridge the gap between fundamental research and practical application.
In conclusion, the Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. is at the forefront of research in analytical sciences, particularly through initiatives like the AMBIOM project. The role of the PhD Candidate is critical in advancing the analysis of microscopic biomedical images, ultimately contributing to the broader goal of enhancing healthcare
Responsibilities
- Conduct research on microscopic biomedical image analysis techniques and methodologies.
- Develop algorithms for image processing and analysis to enhance data interpretation.
- Collaborate with interdisciplinary teams to integrate findings into broader research projects.
- Present research findings at conferences and publish in peer-reviewed journals.
- Mentor undergraduate students and assist in laboratory training and experiments.
- Maintain accurate documentation of research processes and results for reproducibility.
Qualifications
- Master's degree in Biomedical Science, Imaging, or related field.
- Strong background in image analysis and processing techniques.
- Proficiency in programming languages such as Python or MATLAB.
- Experience with machine learning algorithms and applications in biomedical research.
- Excellent analytical skills and attention to detail.
- Strong communication skills for interdisciplinary collaboration and presentations.
Benefits
- Gain expertise in advanced imaging techniques and biomedical analysis methodologies.
- Contribute to cutting-edge research with real-world healthcare applications.
- Collaborate with interdisciplinary teams and expand professional network.
- Enhance critical thinking and problem-solving skills through rigorous research challenges.
