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This is an exciting opportunity to be part of a Horizon Europe Marie Skłodowska-Curie Doctoral Network.
With the advancement of AI, AI techniques have shown the capability to predict the next movements of human and robot in real time for a given operation, particularly in repetitive or constrained environments. Accurate prediction can interpolate and extrapolate human and robot motions for reducing perceived End-to-End (E2E) latency over large communication distance, even reducing the demand on E2E communication resources. Motion prediction is promising to address the instability in Tactile Internet services, thereby providing graceful service degradation in critical communication conditions.
This project aims to apply Deep Learning models to accurately predict human and robot motions in real time, thereby enabling dynamic network resource alloaction for Tactile Internet. The project will identify the interactions between the Tactile Internet services and the next-generation wireless network to realise dynamic adaptation and reconfiguration of the E2E service provisioning. This project will, for example, analyse the effect of missing data from single or multiple sensor modalities due to packet loss or communication outage and propose novel methods to increase robustness in Tactile Internet services leveraging prediction. The project will also design efficient communication schemes for video and haptic data using motion prediction to guarantee the user Quality of Experience and Quality of Task.
*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.
Project description (½-4 pages): Applicant is encouraged to submit a project description that describes your ideas and research plans for this specific project. If you wish to, you can indicate an URL where further information can be found.
Qualifications and specific competences:
Master’s degree in Computer Engineering, Electrical Engineering, Telecommunications, Computer Science, or within a relevant area.
- Background on machine learning and wireless communication system is desired.
- Strong analytical skills, optimization techniques and programming skills are desired.
- Experience in haptic technology and haptic application is a plus.
- Excellent English verbal and written skills.
- 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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