PhD Fellowship in Distributed Learning: Aarhus University, Denmark, invites applications for a PhD fellowship in Distributed Learning and Inference for Artificial Intelligence of Things within the Electrical and Computer Engineering program. The position is funded by the Horizon Europe project PANDORA and the NordForsk project Nordic University Cooperation on Edge Intelligence (NUEI). The selected candidate will work on developing novel techniques for distributed learning and inference for Transformer-based Deep Learning models in the IoT-Edge-Cloud continuum. The fellowship offers opportunities to collaborate with European researchers, participate in summer schools, and contribute to advancements in resource-constraint foundation models.
PhD Fellowship in Distributed Learning and Inference for Artificial Intelligence of Things at Aarhus University, Denmark
Study Area: Distributed Learning and Inference for Artificial Intelligence of Things
Location: Aarhus University, Helsingforsgade 10, 8200 Aarhus N, Denmark
Eligibility/Qualification:
- Master’s degree in Computer Engineering, Computer Science, or a relevant area
- Background in Deep Learning is required; experience in transformer or Edge Intelligence, or IoT is a plus
- Strong programming skills, especially Python programming
- Excellent English verbal and written skills
- Ability to work well and communicate expert knowledge in an interdisciplinary team
- Background in video processing, deep learning, or wireless communications is a plus
Description: The PhD project focuses on developing innovative techniques for distributed learning and inference for Transformer-based Deep Learning models in the IoT-Edge-Cloud continuum. The project aims to design algorithms to accelerate distributed learning and inference processes while managing resource utilization, inference accuracy, communication, and energy consumption across the continuum. The selected candidate will collaborate with European researchers, present their work at conferences, and contribute to project activities.
How to Apply: Interested candidates should submit their application through the provided link. The application deadline is Wednesday, 15 May 2024, at 23:59 CEST. Please ensure all documents are submitted before the deadline. Shortlisting will be used, and only the most relevant applications will be evaluated.
Last Date: Wednesday, 15 May 2024 at 23:59 CEST. Preferred starting date is 01 September 2024.
For further information and application requirements, please refer to the application guide on the Aarhus University website. For inquiries, applicants can contact Associate Professor Qi Zhang (qz@ece.au.dk) or Professor Alexandros Iosifidis (ai@ece.au.dk).
