Connectionists: Funded Ph.D. Positions at the Max Planck ETH Center for Learning Systems

[Sarah Danes]

We invite applications to the doctoral training program of the Max Planck ETH Center for Learning Systems (CLS), a joint academic program between the Eidgenoessische Technische Hochschule (Zurich, Switzerland) and the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems (Stuttgart / Tuebingen, Germany). We are currently accepting applications to join our program in 2021.

The goal of the CLS is to advance artificial intelligence by achieving a fundamental understanding of perception, learning and adaption in complex systems within our platform for exchange in research and education. Applicants should have a strong interest in doing basic research in areas such as:

• Machine Learning and Empirical Inference of Complex Systems
• Machine Intelligence, including Machine Vision and Natural Language Understanding
• Perception-Action-Cycle for Autonomous Systems
• Robust Model-Based Control for Intelligent Behavior
• Robust Perception in Complex Environments
• Synthetic, Bio-Inspired, and Bio-Hybrid Micro/Nanoscale Robotic Systems
• Haptic Intelligence
• Data-Driven Computational Biology and Medical Informatics
• Neurotechnology and Emergent Intelligence in Nervous Systems

In our highly competitive fellowship program, Ph.D. students are co-supervised by one advisor from ETH Zurich and one from the Max Planck Society. All Ph.D. fellows will register as graduate students at ETH Zurich and, upon successful completion of their Ph.D. project, will be granted a doctoral degree by ETH. The program offers a wide range of activities including retreats, workshops and summer schools. Fellowships will be remunerated through employment contracts with the Max Planck Society and ETH Zurich. The program language is English.

Applicants must hold or expect to hold an excellent degree at Masters level in a relevant subject and should be enthusiastic about spending time during their Ph.D. at both CLS partners. Good written and spoken English is essential. Anyone - female or male, any nationality or background - who meets our academic requirements is encouraged to apply.

Application is via our online portal; the deadline is midnight (23:59 CET) on November 2, 2020.

For further information and to apply please visit: https://learning-systems.org <https://learning-systems.org/>
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