GREENEDGE European Training Network offers 15 fully funded PhD positions for early-stage-researchers (ESRs).
Mobile communications have pervaded our everyday lives, deeply affecting the way in which we work, travel and spend our free time. We use daily mobile applications and services and fifth generation (5G) and beyond 5G networks are expected to lead to a further digital revolution, enabling ubiquitous and enhanced broadband services, smart/autonomous vehicles, intelligent transport, and complex human machine interactions (e.g., industrial IoT and extended reality).
That is, our connected society will generate a vast amount of data, which has to be transmitted, processed and analyzed, often in an online fashion. Especially, this data surge demands a massive use of computing services based on artificial intelligence (AI) and machine learning (ML) algorithms. With the advent of 5G networks, these algorithms will be increasingly pushed towards the edge of the mobile wireless network and, at a global scale, they will have a large, unsustainable, carbon footprint.
The GREENEDGE project’s mission is to tame the growing carbon footprint of ML/AI based edge computing services adopting a twofold approach.
As a first step, renewable energy resources, such as wind or solar power, will be utilized to sustain the communication and computing tasks that run at the mobile network edge.
Second, fundamentally new and green-by-design computing and communication paradigms will be developed, to wisely exploit the available communication, computing and energy resources across the mobile edge network. This entails the design of novel ML/AI in-network processing techniques that have a small memory footprint, and that are at the same time trainable in an energy efficient manner. Particular attention will be paid to distributed computing approaches (federated learning).
All of this will be accomplished by creating a training network of fifteen early-stage researchers (ESR), who will carry out research on GREENEDGE sustainable computing paradigms. They will confront a highly cross-disciplinary endeavor, mastering the fundamentals of energy generation and storage, mobile network management, machine learning/neural networks, mathematical optimization and distributed computing.
These young researchers will be trained via specialized training schools and supervised by leading experts in their fields. By the end of the project, they will be awarded a Ph.D., and will be ready to take a prominent role in the industry or academia, leading the design and implementation of green computing systems for the years to come.
Open ESR positions:
ESR1: Elastic allocation of edge computing resources in EH-MEC networks (host: UNIPD)
ESR2: Hierarchical learning for the online control of edge network protocols (host: UNIPD)
ESR3: Edge network function activation and placement via neuro-inspired algorithms (host: UNIPD)
ESR4: Orchestration of deep learning models for communication and computing across EH edge nodes (host: CTTC)
ESR5: Energy-efficient edge computing for sustainable metropolitan areas (host: CTTC)
ESR6: Energy-efficient federated learning at the wireless network edge (host: Imperial)
ESR7: Energy-efficient coding and modulation for wireless edge learning (host: Imperial)
ESR8: Semi-supervised edge energy consumption anomaly detection and classification (host: KUL)
ESR9: Intermittent computing for the extreme edge in beyond 5G networks (host: KUL)
ESR10: Edge computing and communications for Light-based IoT (LIoT) (host: OULU)
ESR11: Distributed intrusion detection system in a constrained edge context (host: CEA-LIST)
ESR12: Mobility aware communication, computation and caching-based resource allocation for MEC (host: CEA-LETI)
ESR13: Edge operational intelligence for critical infrastructure management (host: Worldsensing)
ESR14: End-to-end communication/computing resource management for low-latency beyond 5G MEC (host: CTTC)
ESR15: Distributed ML for radar localization with multiple nodes (host: Toshiba)
GREENEDGE is a highly interdisciplinary research and training action, spanning the following fields:
HIRING INFO AND WORK LOCATION
There are 15 ESR PhD positions distributed across the following top-level institutions:
For additional info, see the website: https://greenedge-itn.eu/
For specific requirements and skills, please visit https://greenedge-itn.eu/ where additional info on the available projects (their requirements) and the hosting institutions is available.
Required languages: English
GREENEDGE is committed to offer equal opportunities and therefore seeks to recruit a gender balanced group of ESRs. It further aims to support Early-Stage Researchers (ESR) through a family friendly working environment. This is in line with benefits offered by the MSCA programme, which offers highly competitive and attractive salary and working conditions. Successful candidates will be offered a full-time position for a duration of 36 months and will be enrolled in local PhD training programmes.
In accordance with the MSCA regulations for ESRs the salary includes the following elements:
The GREENEDGE selection process will follow an equal-opportunities policy, paying careful attention to proper and fair management of all non-discrimination issues during the advertisement, recruitment, and project implementation. All Consortium members represent equal opportunity employers.
Shortlisted applicants will be interviewed via a teleconference system.
Applications are solely possible via the GREENEDGE application Webpage, where further information is available, via the following link:
The COVID-19 outbreak has caused major disruptions for many researchers, projects and organizations, including those working with EU funding. In agreement with the European Commission, GREENEDGE may adopt a flexible approach to how mobility rules are applied, including remote working and online collaboration until travel and relocation become feasible.Continue reading
|Title||15 fully funded PhD positions|
|Employer||GREENEDGE European Training Network|
|Job location||Multiple locations,|
|Published||April 9, 2021|
|Application deadline||May 31, 2021|
|Job types||PhD  |
|Fields||Information Science,   Algorithms,   Energy Technology,   Communication Engineering,   Artificial Intelligence,   Computer Communications (Networks),   Human-computer Interaction,   Computer Engineering,   Applied Mathematics,    and 3 more. Electrical Engineering,   Computational Engineering,   Machine Learning  |