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PhD Position in Interactive Learning Closed-Loop Control of Microfluidic -Cell Experiments

in 52428, Jülich, Nordrhein-Westfalen, Deutschland
Unternehmen: Polytechnicpositions
Vollzeit position
Verfasst am 2026-01-20
Berufliche Spezialisierung:
  • Forschung/Entwicklung
    Forschungswissenschaftler, Datenwissenschaftler, Biomedizinische Wissenschaft
Stellenbeschreibung
Stellenbezeichnung: PhD Position in Interactive Learning for Closed-Loop Control of Microfluidic Live-Cell Experiments
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
Your Profile:
  • 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).

Our

Offer:

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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