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Machine Learning with Active Particles

  • Full or part time
  • Application Deadline
    Thursday, November 14, 2019
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

A PhD position is available to work under the supervision of Prof. Dr. Frank Cichos on machine learning of active particles.

Active particles are model systems for biological systems like bacteria. They self-propel under energy consumption, but lack besides their physical interactions the possibility to develop behavior, i.e., to react to neighbors or signals in their environment.
The PhD student in this project will develop experimental procedures that combine algorithms of artificial intelligence with optical control techniques to allow active particles to develop behavior.

The successful applicant should have or expect to achieve a Masters-level degree in Physics. The applicant shall be interested in working at the interface between soft matter physics, biophysics and photonics.
The successful applicant will demonstrate strong interest and self-motivation in the subject, good experimental practice and the ability to think analytically and creatively. Good computer skills as well as presentation and writing skills in English are required.

To apply in first instance, please email a motivation letter, an up-to-date CV and your certificates of graduation including a transcript of your courses to Prof. Dr. Frank Cichos (). The position is available immediately. The application deadline is November 14, 2019.

Please visit our group website for more details about our research:

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