Cyber Valley is a new center for AI research, bringing together partners from science and industry to create a world-leading hub for research in intelligent systems. The Max Planck Institute for Intelligent Systems, the University of Stuttgart, and the University of Tübingen invite applications for Independent Research Group Leaders in the Cyber Valley Initiative.
The Max Planck Institute for Intelligent Systems, Stuttgart-Tübingen, Germany,
the University of Stuttgart, and the University of Tübingen
invite applications for positions of up to
9 Independent Research Group Leaders
in the Cyber Valley Initiative.
Cyber Valley is a new center for AI research, bringing together partners from science and industry to create a world-leading hub for research in intelligent systems and to establish an ecosystem for startups in the field of artificial intelligence.
Successful candidates should have an outstanding international early-career track record in AI research, including but not limited to:
- Machine Learning
- Perception & Computer Vision
- Autonomous Robotics
- Frameworks and Architectures for Intelligent Systems
- Small-scale Robotics
See below for further details and topic areas.
Each of these research-focused positions will lead a new Cyber Valley Research Group located either at the Max Planck Institute for Intelligent Systems, at the University of Stuttgart, or at the University of Tübingen as part of the Cyber Valley initiative Baden-Württemberg. The establishment of a competitive basic research program is expected. The research groups are expected to engage actively with the existing research environment, including the Cyber Valley partners. The research groups will be able to draw on infrastructure and a stimulating environment for successful company startups in the area of artificial intelligence.
All applications will be considered for two different types of positions that offer scientists an excellent opportunity for career advancement. During the selection process, depending on the career stage of the applicant, the most suitable position will be identified in agreement with the successful candidates.
Cyber Valley Research Group Leaders at the Max Planck Institute for Intelligent Systems:
The group leader positions are at W2 level (roughly equivalent to assistant/associate professor level). The successful applicants are provided considerable funds for personnel, equipment and running costs that enable the group leaders to flexibly engage in their independent research agenda. The Max Planck Research Groups are limited to five years, but may be extended.
Cyber Valley Research Group Leaders at the University of Stuttgart and at the University of Tübingen:
The funding includes a group leader position (TV-L E14), PhD positions as well as startup and running budgets for up to four years. The groups will be embedded into the appropriate faculty at the University of Stuttgart or the Department of Computer Science in the Faculty of Science of the University of Tübingen, respectively, and benefit from the support structures.
The Max Planck Society, the University of Stuttgart, and the University of Tübingen are equal opportunity employers and strive for gender diversity. We welcome applications from all backgrounds.
We are committed to increasing the number of individuals with disabilities in our workforce and therefore encourage applications from such qualified individuals.
Applications should contain a description of past and future research activities (up to three pages), a CV and publication list, and three reference letters submitted directly by the referees. Inquiries should be sent to email@example.com. Applications should be submitted in English as a single pdf-file through our online application system. The closing date for applications is June 30, 2017.
Example topics include:
- (Deep) learning theory
- Mechanism design
- Learning on structured data
- Speech recognition
- Artificial intelligence in biomedical data science
Perception & Computer Vision:
- Deep learning in vision
- Perception at the small scale
- Physical perception, adaptive sensing
- Interactive perception
- Object and action recognition
- Human-robot interaction
- Adaptive control and reinforcement learning
- Assistive and medical robotics
- Cloud robotics
- Autonomous systems and vehicles
- Intelligent Mobility
Frameworks and Architectures for Intelligent Systems:
- New programming concepts for machine learning and big data analysis
- Robust neural network architectures for autonomous systems
- Security in intelligent, distributed and cooperative systems
- Robot software engineering
- Integrated planning and learning systems
- Mobile milli- / microrobots
- Soft robotics
- Collective and swarm intelligence
- Micro / nano medical robotics
- Novel materials and actuators
- Systems and control theory
- Learning control
- Biomedical cybernetics
We invite research proposals for these example topics or other research topics in the field of intelligent systems, exhibiting perception, action, and learning.