Internship – Computational Modelling and Digital Twins of Organoids (f/m/x)

Motivation of the work 

Turning today’s research into tomorrow’s applications – together. 

With a clear focus on user and customer needs, Corporate Research and Technology at ZEISS focuses on developing and advancing future technologies for all business units within the ZEISS Group.  

For our team of researchers and engineers at the ZEISS Innovation Hub Dresden, we seek a student to support our concept work on the development of computational models and digital twins of organoids. The project is situated at the interface of artificial intelligence, computational biology, microscopy, and virtual cells. 

Your Role

Develop and evaluate computational models for organoid development, morphology, growth, and response to external stimuli 

Analyze multimodal biological data, including microscopy images, time-lapse recordings, and potentially molecular or experimental metadata 

Design, conduct, and evaluate experiments using simulated and real-world datasets 

Investigate existing approaches in scientific literature and adapt them to ZEISS-specific applications 

Support the integration of data-driven and mechanistic modelling approaches for improved interpretability and predictive performance 

Communicate results clearly and contribute to scientific discussions within an interdisciplinary team 

Your Profile

A bachelor’s degree and current enrolment in a master’s program in computer science, bioinformatics, computational biology, physics, mathematics, engineering, or a related discipline 

Proficiency in Python for scientific computing, data analysis, statistical modelling, and machine-learning workflows, with the ability to critically evaluate and adapt AI-assisted code. 

Ideally, experience in image analysis, computer vision, microscopy, or time-series data analysis 

Ideally, knowledge of computational modelling, systems biology, quantitative biology, or organoids 

An interest in virtual cells, digital twins, and the simulation of complex biological systems 

Excellent organizational, problem-solving, and communication skills 

Fluent English; knowledge of German is an advantage 

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).

Your ZEISS Recruiting Team: Falk Dymke