PhD Position in Interactive Learning Closed-Loop Control of Microfluidic -Cell Experiments
Verfasst am 2026-01-20
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Forschung/Entwicklung
Forschungswissenschaftler, Datenwissenschaftler, Biomedizinische Wissenschaft
Location: Jülich
PhD Position in Interactive Learning for Closed-Loop Control of Microfluidic Live-Cell Experiments Germany
We are offering a
PhD Position - Interactive Learning for Closed-Loop Control of Microfluidic Live-Cell Experiments (HDS-LEE graduate school)
You want to make an impact by connecting high-throughput cell microscopy with machine learning and physics-based simulation? This is the position for you! Microfluidic live-cell imaging enables researchers to observe the behavior of microbes at the level of individual cells under precisely controlled conditions. This project treats these experiments as adaptive bioagent-environment systems and develops modern, data-driven decision-making methods to unlock intelligent, real-time strategies for actively steering cells within their microenvironment.
The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) provides an interdisciplinary environment for educating the next generation of data scientists in close contact to domain-specific knowledge and research. All three domains – life & medical sciences, earth sciences, and energy systems/materials – are characterized by the generation of huge heterogeneously structured data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems.
Visit HDS-LEE at:
Institute issuing the offer: IAS-8
Your Job:We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”.
- Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environments
- Design and implement reinforcement learning algorithms for control and manipulation, first in simulation and later on real experimental setups
- Refine a real-time planning and execution architecture for information-driven experiment steering (closed-loop control)
- Work in an interdisciplinary team of engineers, computer scientists, and life scientists
- Present your work at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences
- Excellent Master’s degree in engineering, computer science, or mathematics (or a related field), with a focus on robot vision and control, image processing, or machine learning
- Solid mathematical and physics background, distinct analytical skills
- Very good programming (Python, C++) and computer (Linux, Windows) skills
- Excellent cooperation and communication skills
- You enjoy working within a diverse team in an international and interdisciplinary environment
- Very good English, both spoken and written. German language skills are not necessary but a plus
- High motivation and work ethics
- No prior biological experience is required, but curiosity about biological questions, collaborating closely with experimentalists, and working with real-world data
- You share our passion for teaching computers how to see, have done some previous research in this field (e.g., internships, research papers, etc.), and want to make an impact in a societally relevant application.
In your application, please include a statement of research interest, CV, copies of exams, degrees and grades (transcript of records), a copy of your Master thesis (or a draft thereof), published articles or other relevant material such as letter(s) of recommendation (if applicable).
OurOffer:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! This HDS-LEE PhD position will be located at Forschungszentrum Jülich with strong links to RWTH Aachen. We offer ideal conditions for you to complete your doctoral degree:
- Outstanding scientific and technical infrastructures
- Working in an international and interdisciplinary environment at one of Europe’s largest research institutes
- Continuous scientific mentoring by your scientific advisors and opportunity to mentor students
- Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats):
- A qualification that is highly valued in industry
- 30…
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