Masters Intern (m/f/d) Machine learning and bioimage analysis

Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. (ISAS), Dortmund

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.

In the group of Analysis of Microscopic BIOMedical Images (AMBIOM) within the department Biospectroscopy in Dortmund we invite applications for a:

Masters Intern (m/f/d)

Machine learning and bioimage analysis

In this group we have an opportunity for a Masters Internship project to conduct high dimensional data analysis studies on bioimage informatic problems. Currently, the AMBIOM group has extensive collaborations with local, national, and international partners on a wide range of bioimage analysis problems, such as cell tracking, high dimensional image segmentation, in-silico labeling, image registration, etc. We are developing algorithms and tools to address these bioimage analysis problems, which are all driven by real biomedical research. Depending on the background and interest, the student will have the opportunity to join a specific project to develop data analysis methods to assist biomedical discoveries during the thesis project for six months or more.

Your tasks:

• Literature study on related bioimage analysis and data analysis publications, especially those works involving high dimensional data or multi-modal data
• Implement baseline solutions, conduct systematic comparison, and investigate potential improvements
• Summarize the project as an open-source package and/or open-access publication

Your profile:

• Enrolled in the Masters program for computer science, statistics, mathematics, data science, or related scientific fields
• Basic knowledge of common data analysis algorithms, such as PCA, LDA, UMAP, t-SNE, etc.
• Hands-on experience with data analysis using Python or R
• Basic knowledge of biomedical image analysis is a plusAbility to work in team, critical thinking and solution-oriented approach
• Good communication and presentation skills in English

The Masters Internship is available immediately and initially offered for 6 months within the framework of the Wissenschaftszeit-vertragsgesetz, with a working time of 8 hours per week. It is remunerated as a mini-job.

ISAS supports the principle of equal opportunity for all employees and would therefore particularly encourage women to apply. Applications from disabled applicants are welcome.

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 March 31, 2025. Please apply via our applicant portal. Informal requests (reference number 344_2025) 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.