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

[ETH-Center Learning-Systems]

We invite applications to the doctoral training program of the Max Planck
ETH Center for Learning Systems (CLS), a joint academic program between
ETH 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 2022.

The goal of 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
are 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 be enthusiastic about spending time during
their Ph.D. at both CLS partners. Good written and spoken English is
essential.

Apply online at https://learning-systems.org/apply.
Application deadline is midnight (23:59 CET) on November 1, 2021.