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Yuan Yao
1 week ago
PhD Student in Computer Science with a Focus on Computer Architecture Uppsala University in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Nov 30, 2026
Country
Sweden
University
Uppsala University
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Keywords
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About this position
This PhD position at Uppsala University is part of the NEAT research project and is based in the Department of Information Technology. The project focuses on computer architecture for future AI systems, with an emphasis on next-generation interconnect technology and how architectural and system-level choices influence performance, energy use, and scalability.
The doctoral student will work on research questions in computer architecture, developing and evaluating new approaches for efficient and sustainable computing. The work includes modelling, simulation, and experimental evaluation, combining theoretical understanding with practical research skills. The position offers an international research environment and collaboration across academia and industry.
The department is a large and active research and teaching environment at Uppsala University, with many teachers, PhD students, and undergraduate students. The supervision is led by Associate Professor Yuan Yao, and the project is embedded in a setting with established external collaborations.
The role is structured as a doctoral research appointment, with the student primarily devoted to graduate education and possibly contributing to departmental duties such as teaching and administration.
Funding details
Available
What's required
Applicants must meet the general entry requirements for doctoral studies by holding a Master’s (second-cycle) degree in computer science, computer engineering, electrical engineering, embedded systems, or another field relevant to the project, or by having completed at least 240 higher-education credits with at least 60 credits at Master’s level including an independent project of at least 15 credits, or by having acquired substantially equivalent knowledge. The position requires very good knowledge of computer architecture and digital hardware design, very good programming skills in C/C++ and Python, and excellent oral and written English. Strong analytical ability, independence, attention to detail, good collaboration skills, and motivation for doctoral studies are important. Experience with FPGA development and hardware description languages, architecture or network simulators, interconnection networks or AI accelerators, machine learning frameworks, large AI models, and scientific publications in related areas is considered an advantage.
How to apply
Apply through the Varbi application portal using the provided application link. Answer the application questions carefully, as they replace the cover letter and will be used in selection. Submit the application by 30 November 2026 under reference UFV-PA 2026/3314.
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Professors
Associate Professor at Uppsala University
Sweden
Research Interests
Digital Design
Computer Science
Scalability
Electrical Engineering
Computer Architecture
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