PhD Scholarship in Applied Machine Learning for Edge Network Software Systems

Institution: Trinity College Dublin
Supervisors: Prof. Siobhán Clarke & Dr. Akbar Majidi
Funding: €2200 per month
Location: School of Computer Science and Statistics, Trinity College Dublin, Ireland

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Project Overview

We invite applications for a fully funded PhD position at Trinity College Dublin, Ireland’s leading university, to work on applied machine learning in the context of edge network software systems, with a focus on container orchestration platforms such as Kubernetes.

The successful candidate will contribute to the design and implementation of intelligent, adaptive systems at the edge, where AI/ML models will optimize deployment, resource allocation, and system resilience. The project is jointly supervised by Prof. Siobhán Clarke, a world-renowned researcher in distributed systems, and Dr. Akbar Majidi, whose expertise spans machine learning and edge computing.

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Key Topics
• Machine learning for system optimization and orchestration
• Edge computing, distributed systems, and network-aware software
• Kubernetes and container-based infrastructure
• Real-time analytics and performance adaptation

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Eligibility Criteria

Essential:
• A Bachelor’s and Master’s degree in Computer Science, Software Engineering, or a closely related field.
• Strong academic background, preferably from one of the leading universities in Tehran, such as the University of Tehran, Sharif University of Technology, or Amirkabir University of Technology.
• Proficiency in Python or other ML development environments.
• Familiarity with containerization tools (e.g., Docker, Kubernetes).
• Excellent written and verbal communication skills in English.

Desirable:
• Experience with edge computing platforms or cloud-native architectures.
• Publications in relevant conferences/journals.

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What We Offer
• A monthly stipend of €2200 for up to 4 years.
• Access to world-class research facilities and computational infrastructure.
• Opportunity to collaborate with international researchers and industry partners.
• Support for conference travel, training, and career development.

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Application Procedure

Interested candidates should submit the following documents in a single PDF to [Insert Contact Email or Application Portal]:
1. A detailed CV
2. Academic transcripts
3. A brief statement of research interests (max 1 page)
4. Contact information for two academic referees

Deadline: No deadline.

Send your resume and any relevant information to [email protected]

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