Summary
The University of Göttingen is inviting applications for a fully funded PhD position in AI-based therapy validation using fluorescence microscopy at the Institute of Computer Science. The position will be supervised by Constantin Pape and is part of the DFG-funded research consortium SFB1690, which studies the biological mechanisms behind sensorimotor disorders such as hearing and vision impairments. This exciting interdisciplinary project combines artificial intelligence, biomedical imaging, and therapy development to advance research in inner ear diseases and gene therapy validation. 🎓🔬
PhD Scholarship in AI-Based Therapy Validation Using Fluorescence Microscopy, Germany
Designation
PhD Researcher (TV-L E13, 100%)
Research Area
- Artificial Intelligence / Machine Learning 🤖
- Biomedical Image Analysis 🧬
- Fluorescence Microscopy 🔬
- Computational Biology & Bioinformatics
- Inner Ear Imaging and Therapy Validation
Location
Göttingen, Germany
Eligibility / Qualification
Applicants should meet the following requirements:
- Master’s degree in Computer Science, Computational Biology, Bioinformatics, Applied Mathematics, Physics, Biophysics, or a related field.
- Experience with AI / Machine Learning techniques.
- Strong programming skills, particularly in Python and deep learning frameworks such as PyTorch.
- Good command of English (written and spoken).
- Ability to work independently as well as in an interdisciplinary research team.
- Strong analytical and critical thinking skills.
Preferred Skills:
- Experience with fluorescence microscopy, biomedical imaging, or microscopy image analysis.
Job Description
The selected PhD candidate will work on developing AI-driven image analysis methods for studying the morphology of the inner ear, including the cochlea and vestibular system. Key responsibilities include:
- Developing AI tools for analyzing large-scale fluorescence microscopy datasets.
- Implementing and improving deep learning models for inner ear image analysis.
- Studying structural differences between healthy and disease-affected organs.
- Contributing to preclinical validation of gene therapy treatments targeting hearing disorders.
- Collaborating with interdisciplinary researchers studying disease mechanisms and therapy development.
The project also involves working with advanced computing infrastructure including GPU clusters (NVIDIA A100 and H100) for high-performance AI research. 💻⚡
Scholarship Benefits
- Full-time funded PhD position (TV-L E13 salary scale) 💰
- Funding for up to 3 years with the goal of completing a doctorate.
- Access to high-performance computing infrastructure and GPU clusters.
- Opportunity to work at the cutting edge of AI for biomedical imaging.
- Collaboration within a highly interdisciplinary research team.
- Flexible working hours and strong career development support.
- Excellent research environment at University of Göttingen.
How to Apply
Interested candidates should send the following documents via email:
- Motivation letter describing research interests, relevant experience, and career goals
- Updated CV
- Contact information for up to three references
Send applications to:
Prof. Dr. Constantin Pape
📧 constantin.pape@informatik.uni-goettingen.de
Last Date to Apply
📅 April 1, 2026 (for full consideration)
Applications will be reviewed until the position is filled.
If you want, I can also convert this into a high-CTR YouTube description with emojis and hashtags (like your other scholarship videos). 🎥📈
