奥尔胡斯大学招收电子工程、计算机科学博士
About the Project
This is an exciting opportunity to be part of a Horizon Europe Marie Skłodowska-Curie Doctoral Network (TOAST* https://www.toast-dn.eu/), consisting of 10 PhD students (3 of which will be hosted by the Department of Electrical and Computer Engineering at AU).
The project aims to design Edge Intelligence using transfer learning and continual learning approaches to develop a new neural network-based estimation of remote environment for Model-mediated teleoperation. The key is to design and implement new machine learning methods for achieving high performance with small training data, and to design and implement continual learning methods to improve the NNs’ performance based on newly collected experience. The outcome is expected to achieve model estimation acceleration for remote environment, and to increase model accuracy and minimize model mismatch, i.e., enhancing stability and transparency, under large latency.
Model-Augmented Haptic Teleoperation, also known as Model-mediated teleoperation (MMT) is a promising approach for Tactile Internet to address both stability and transparency in teleoperation under communication latency and packet loss. The idea of MMT is that the local device uses a local model, i.e., the digital twin of the remote device, to approximate the remote environment. Instead of transmitting actual haptic feedback from the remote device to the local device, the haptic feedback can be computed based on the local model without noticeable delay. However, accurate online model parameters estimation is challenging, model mismatch can, for example, cause position tracking error, resulting in dangerous slave behaviour.
*The TOAST consortium comprises 7 leading research institutes across Europe (Denmark, Germany, Italy, Spain, and France) and 4 industrial stakeholders (Germany, Sweden, France and Italy). TOAST’s mission is to train the next generation of doctoral candidates to tackle the critical challenges of Tactile Internet through interdisciplinary research.
The Marie Skłodowska-Curie Doctoral Network Program offers a highly competitive and attractive salary and working conditions.
Qualifications and specific competences:
• Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or within a relevant area.
• Background on machine learning, robotics, and wireless communication system is desired.
• Strong programming skills, e.g., python programming, is desired.
• Experience in haptic technology and haptic application is a plus.
• Excellent English verbal and written skills.
• Be able to work well and communicate expert knowledge in an interdisciplinary team.
• The candidates are eligible if they have not resided in Denmark for more than 12 months within the past 36 months.
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