Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
difference in the transition towards a sustainable future. Subject description This project focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion
-
computation, communication and storage, optimizing GPU utilization, parallelization, inter-node communication and I/O performance on parallel file systems. You will develop solutions for monitoring
-
network of collaborators and strong access to compute through national GPU systems (NAISS, e.g. Berzelius and Arrhenius) and local GPU infrastructure. Project description The position offers significant
-
AI models on HPC and GPU-based systems Provide guidance on performance optimization, scaling, and efficient resource utilization Contribute to architectural and design decisions in cloud-native HPC
-
, engineering, medicine, economics, humanities and social sciences. Across these fields, demand for GPU resources for AI has increased significantly in recent years. We operate modern HPC clusters
-
tightly coupled to GPU-accelerated high-performance computing using Lund University’s national e-infrastructure. You will join an interdisciplinary research environment that values scientific independence
-
Experience with development of atomistic- or multiscale simulation methods, e.g in a GPU architecture, and their applications to magnetic phenomena is meriting. About the employment The employment is a
-
HPC resources (NAISS) and local GPU infrastructure. This Postdoc position is part of the eSSENCE graduate school in data-intensive science. The school addresses the challenge of data-intensive science
-
distributed systems, including GPU programming (e.g. CUDA). Ability to explain complex, abstract and hardware-related concepts to students in a structured and accessible way. Documented experience of
-
demonstrate examples of your independence in research. It is also appreciated if you also have some pedagogical experience. Knowledge of and skills in MPI and GPU programming, along with experience