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This PhD project aims to narrow the gap between theoretically efficient parallel algorithms and practical implementations in parallel graph algorithms.
Your function
As a PhD student, you will work both on finding solutions to graph algorithmic problems on abstract parallel models, and work on implementing solutions on parallel systems and performing engineering.
Specifically, you will:
As part of this position, you will be encouraged and supported to refine and drive your own research within the project scope, publish and present your findings at top-tier venues, develop and maintain open-source software, and contribute to teaching and community outreach. The ultimate goal is for the successful candidate to produce a dissertation that leads to a PhD degree in 4 years.
Your profile
We offer a fully funded PhD position for 4 years. We are looking for a highly motivated candidate who meets the following qualifications:
We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements.
About us
This project will be jointly supervised by Dr. Tiziano De Matteis and Dr. Yasamin Nazari.
Dr. Tiziano De Matteis is an assistant professor in the Massivizing Computer Systems group. His principal research interests are related to High-Performance Computing (HPC), particularly programming models and tools for accelerated computing systems, parallel programming, and sustainability of modern computing systems.
Dr. Yasamin Nazari is an assistant professor in the theoretical computer science group, broadly working on algorithms including graph algorithms in various computational models (dynamic, parallel, distributed) and combinatorial optimization.
The candidate will be embedded in the Theoretical Computer Science (led by prof. Wan Fokkink) and the Massivizing Computer Systems (MCS, led by prof. Alexandru Iosup) groups.
Department of Computer Science
The Department of Computer Science at Vrije Universiteit Amsterdam is an internationally recognised centre of excellence, advancing the full spectrum of Computer Science in both research and education. It comprises approximately 230 staff members and is organised around strongly connected themes: AI & Data, Systems & Infrastructure, Software, Security & Privacy and Theory of Computation.
At Vrije Universiteit Amsterdam, we attach great importance to the societal impact of our education and research. Personal development and social involvement are key parts of our vision on education, in which individual differences are seen as a strength. This allows us to develop innovations and insights that contribute to a better world.
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