Join the School of Computer Science at University College Dublin (UCD) for a Ph.D. journey! Are you a highly motivated individual passionate about pioneering research in distributed systems? We're thrilled to announce a fully-funded Ph.D. position, offering the chance to work with experienced faculty members and contribute to advancing the field.
Research Topic: Sustainable Computing at Edge-Cloud Continuum. Our interdisciplinary study addresses the rising data processing demands in multi-cloud and edge computing. Dive into computer networks, distributed systems, and machine learning as we optimize resource utilization and workloads across edge servers, multi-cloud infrastructures, and IoT devices. Achieve energy efficiency, reduced carbon footprint, and enhanced sustainability by leveraging dynamic workload allocation, energy-aware scheduling, and resource management.
Why UCD? Ranked #1 in Ireland, #87 worldwide for graduate employability, and #171 overall globally (latest QS ranking), UCD is your gateway to a vibrant research community. Collaborate with experienced faculty members, tackle critical challenges, and drive innovation in the field.
• Full tuition fee waiver
• Annual stipend of €19,000 (tax-free)
• Conferences and travel budget
• Equipment budget
• Subsistence allowance and travel tickets to Beijing, China (4 months a year) as a teaching assistant accompanying the supervisor.
Equality, Diversity, and Inclusion: UCD embraces diversity and provides equal opportunity. Explore our inclusive environment and consult our policies here. Ready to embark on a transformative Ph.D. journey? Learn more about the UCD Computer Science structured Ph.D. (here) and Ph.D. lifecycle at our website.
Mandatory Qualifications: Strong programming skills; Excellent written and verbal communication skills; Knowledge of machine learning techniques, cloud computing, and computer networks. Desired: Master's degree; Academic publications; Practical experience in simulation environments (e.g., CloudSim, NS3); Knowledge of containerization technologies (e.g., Docker, Kubernetes).
How to Apply: Send your cover letter, CV, academic transcripts, and English Language Proficiency (if applicable) before the deadline.
Selection Process Applications will be assessed based on qualifications and criteria alignment. Shortlisted candidates will progress to a research interest letter and recommendation stage. Successful candidates will be invited for an interview.