PhD Candidate (m/f/d) - #2632202

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 or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states.

We invite applications for the AMBIOM (Analysis of Microscopic BIOMedical images) Research Group:

PhD Candidate (m/f/d)

Your tasks:

• Developing large-scale microscopy image analysis pipeline for 3D microscopy images


• Developing computational framework for 3D shape modeling towards biological insights


• Developing AI-based representation learning framework for data-driven cell modeling


• Report findings and methods in conference and journal papers

Your profile:

• Masters, Diploma or equivalent degree in mathematics/statistics, IT/computer science, physics, computation biology, biomedical engineering or related scientific fields


• Experience with image analysis, or computer vision


• Good knowledge of basic machine learning techniques, such as variational autoencoder


• Good presentation and writing skills


• Proactive, independent, and solution-oriented way of working


• Fluent English (spoken and written)


• Good knowledge of biology is a plus


• Publications at top-tier computer vision conference or journals 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


• A wide range of opportunities for further training and qualifications


• Flexible working times, mobile working and attractive social benefits


• Family-friendly infrastructure and support from a family service

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 full-time position is offered for four years and available immediately. The salary will be according to the German TV-L and falls within the pay group 13. The time limitation of the contract is based on the Wissenschaftszeitvertragsgesetz (WissZeitVG).

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: .

The closing date for applications is July 8, 2026. Please apply via our applicant portal. If you have any questions (reference number 401_2026), feel free to contact the Human Resources team (). Further information about the institute can be found at: https://www.isas.de/en.