6 of 6 Permanent PhD Jobs in Edinburgh

venues (e.g., OSDI, NSDI, MLSys). Collaborate with global research teams to drive the internal adoption of novel system architectures. Key Requirements: Preferably a PhD, at minimum a masters degree, in Computer Science, distributed systems, or related field. Strong knowledge of Distributed Systems, OS internals, and Machine Learning systems architecture. ...

/C++ Python for prototyping and experimentation Experience with performance profiling and optimisation tools Solid understanding of distributed algorithms Nice to Have PhD in systems, distributed computing, or AI infrastructure Publications in top-tier systems or ML conferences Experience with load balancing, fault tolerance, and resource scheduling Background in large ...

seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving … prototyping. · Solid grounding in systems research methodology, distributed algorithms, and profiling tools. · Team-oriented mindset with effective technical communication skills. Desired Qualifications and Experience: · PhD in systems, distributed computing, or large-scale AI infrastructure. · Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR ...

seeking Systems Research Engineers with a deep passion for computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven experience in Operating Systems, Distributed Systems, AI Model Serving, Machine learning infrastructure. You will … global research teams. What we are looking for Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field Fresh PhD graduates in systems, distributed computing, or large-scale AI infrastructure are also welcome At least 2 years of experience with LLM inference/serving framework optimization ...

research and industrial-scale engineering, our client's teams turn innovative system designs into deployable, real-world technologies. This role is ideal for recent PhD graduates looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will … novel methods and architectures. Cross-Team Collaboration: Communicate technical insights, research progress, and evaluation outcomes effectively to multidisciplinary stakeholders and global research teams. Requirements: PhD in systems, distributed computing, or large-scale AI infrastructure. Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. ...

what happens under the hood of a cluster. Required Experience: Education: A Bachelor’s or Master’s in CS, EE, or a related field (PhD highly preferred). The Stack: Strong proficiency in C/C++ for systems work, with Python for rapid prototyping. Expertise: Hands-on experience with … Serve, TensorRT-LLM ) and distributed algorithms. Mindset: A solid grounding in systems research methodology and performance profiling tools. The "Value Add" (Desired): A PhD focused on distributed computing or AI infrastructure. A track record of publications at major conferences (NeurIPS, ICML, ICLR, etc.). Deep knowledge of load balancing, fault ...