The postdoc will focus on developing embodied neural mechanisms for multi-sensory integration, proactive robot control, and action sequence learning for proactive human-robot interaction in Welfare domain. The postdoc will also be part of our project Health-CAT: "Health Care Assisting Technology" recently funded by the Interreg program. A part of the project aims to develop high-level (neural) control of a mobile service robot to efficiently assist and interact with people/nurses in hospital environments.
The successful candidates will be expected to have
1) a PhD degree in artificial intelligence, computer science, control system engineering, robotics, computational neuroscience, or a quantitative field.
2) articles published in international peer-reviewed journals documenting experience with neural dynamics, learning and adaptation in neural systems, dynamic neural fields, sensor fusion, multisensory integration, complex signal processing, mobile robot control, sequence learning.
3) strong background on
- multi-sensory integration, machine learning, dynamic neural fields, complex signal processing, hardware implementation, and robotics.
4) good programming skills (e.g., ROS, C, C++, MatLab, Java).
Additionally, the candidate should have excellent writing skills and be able to work independently. The successful candidate for the position will be affiliated to the Embodied AI and Neurorobotics Lab at the Maersk Mc-Kinney Moller Institute, the University of Southern Denmark.
Please refer to the official advert  for application details and guideline.
The deadline for applications via the online system  is 30/07/2017.