Summary
This fully funded PhD position aims to explore the development of distributed lightweight machine learning models that facilitate decentralized decision-making in complex systems, specifically focusing on the requirements of latency and privacy. The project will leverage the computing power of IoT devices to execute computations closer to the edge of the network.
PhD Position in Edge-Enabled Distributed Machine Learning with Multi-Modal Data, University College Dublin, Ireland
Designation
PhD Candidate in Edge-Enabled Distributed Machine Learning
Research Area
- Distributed Machine Learning
- Internet of Things (IoT)
- Multi-Modal Data Fusion
- Real-Time Decision-Making Systems
Location
- Industry Host: Pragma-Iot, Thessaloniki, Greece
- University Host: University College Dublin, Ireland
Eligibility/Qualification
- A Master’s degree or equivalent in Computer Science, Data Science, Electrical Engineering, or a related field.
- Strong background in machine learning and data analysis techniques.
- Knowledge of IoT systems and distributed computing is preferred.
Job Description
The PhD candidate will work on:
- Designing and training lightweight distributed machine learning models.
- Integrating machine learning algorithms with digital twins for continuous performance evaluation.
- Developing customized distributed models tailored to heterogeneous IoT devices.
- Implementing multi-modal data fusion techniques to optimize computing energy requirements.
Funding Details
- Living Allowance: €125,304.48
- Mobility Allowance: €25,560
- Family Allowance: €17,820 (where applicable)
How to Apply
Interested candidates should fill out the application form available here and attach a cover letter along with their CV.
Last Date for Application
April 25th, 2026
This scholarship provides a unique opportunity to engage in cutting-edge research while collaborating with leading experts in the field of machine learning and IoT.
