Open job position: Scientist / Postdoc – Vi(MA)²C

Tasks In Detail

• Develop and extend deep-learning–based segmentation, classification and tracking for microbes and microgels in phase-contrast and fluorescence images
• Optimise these models and pipelines for real-time performance and integrate them into an action–perception loop that drives the optical tweezers
• Use and further develop simulation tools to design and benchmark control strategies before deploying them on the microscope
• Integrate your software with the microfluidic live-cell imaging platform and provide Python/Jupyter-based tools for collaborators, contributing to FAIR datasets and open-source software
• (Co-)Supervise student projects at BSc, MSc, and PhD level
• Write research articles, as well as grant proposals, and present your own work at international conferences

Your Profile

• Master / Diploma and excellent PhD in computer science, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field
• Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data
• Proven programming expertise in Python (scientific Python, PyTorch or similar); experience with C++ and Linux environments is an advantage
• Experience in at least one of the following is highly welcome: Real-time or streaming pipelines, Control / robotics / feedback systems, Optical systems / optical tweezers / laser-based manipulation, Probabilistic modelling / tracking, Software in the loop (SiL)
• Strong mathematical / statistical skills and pronounced analytical problem-solving abilities
• Curiosity for microbial life science questions and enthusiasm for working closely with experimentalists (no wet-lab experience required)
• Excellent communication skills and enjoyment of working in an agile, international and interdisciplinary team
• Very good English skills; German is a plus but not mandatory