PhD Candidate (m/f/d)
Role: PhD Candidate (m/f/d)
Organization: Leibniz-Institut für Analytische Wissenschaften – ISAS – e. V.
Location: Dortmund, Germany
Contract Type: Temporary, Full-time (4 years)
Salary: According to German TV-L, pay group 13
Role Overview:
The Leibniz-Institut für Analytische Wissenschaften – ISAS – e. V. develops efficient analytical methods for health research, contributing to the improvement of prevention, early diagnosis, and therapy of diseases like cardiovascular diseases or cancer. The institute advances precision medicine by combining knowledge from 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.
This position is within the AMBIOM (Analysis of Microscopic BIOMedical images) Research Group.
Responsibilities:
- 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
- Reporting findings and methods in conference and journal papers
Requirements and Qualifications:
- 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
What They 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
- Help for non-residents to find accommodation and handle authorities
- Equal opportunity for all employees; women are particularly encouraged to apply
- Applications from disabled applicants are welcome