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From Fachgebiet Regelungssysteme TU Berlin

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PhD Position in SCIoI Cluster

In the context of the new Research Cluster “Science of Intelligence (SCIoI)”, a PhD position on “Distributed Learning Control for Collective Problem Solving in Multi-Agent Systems” will become available at TU Berlin. The successful candidate will use and extend methods from distributed and learning control theory to investigate the dynamics of collective learning.

In particular, s/he will study (i) the interplay between prior knowledge, individual learning and knowledge transfer between agents, (ii) the relevance of the communication topology, and (iii) the effect of agent heterogeneity with respect to prior knowledge and learning strategies, dynamics and distortion of shared knowledge.

More details can be found at the Science of Intelligence Website.


Applicants must hold a Master’s degree (or equivalent) in Engineering, Applied Mathematics, or a related subject. In particular, we require the applicant to have (i) a strong background in systems and control theory (previous experience in distributed control theory or learning control theory is an advantage), (ii) a genuine interest to pursue interdisciplinary research that involves control theory and both robotic and biological applications, (iii) strong interdisciplinary communication and cooperation skills, (iv) excellent English skills, both written and spoken.

The appointment will be for 3 years. The PhD student will participate in the SCIoI doctoral program. As an employee of TU Berlin, s/he will receive a competitive salary and benefits (according to pay scale E13). The project will be supervised by Joerg Raisch and Thomas Seel from the Control Systems Group at TU Berlin. The application deadline is February 15, 2019. Applications can only be submitted through the online application tool.

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