Open for EUMaster4HPC Master students Cohort 3 only
The objective of this challenge is to prepare students for the upcoming AI Factories in the European Union. These AI Factories will harness the power of next-generation HPC and AI systems to revolutionise data processing, analytics, and model deployment. Through this challenge, students will gain practical skills in AI benchmarking, system monitoring, and real-world deployment scenarios—equipping them to design and operate future AI Factory workflows at scale.
The EUMaster4HPC Summer School 2026 entitled “High-Performance Computing and Emerging Trends” will take place from 5 to 14 July 2026 at the Marienthal Youth Center and the University of Luxembourg in Belval, Luxembourg.
The University of Luxembourg is a leading European research university, renowned for excellence in science, engineering, and technology. Its modern facilities and vibrant academic community provide an inspiring environment for this specialised programme.
The Summer School programme will be organised around the evolution of HPC across AI-driven, quantum, data-centric, and sustainable computing paradigms. It will address the integration of AI workloads, focusing on scalability, performance-energy trade-offs, and algorithmic co-design. A dedicated session will explore quantum computing, emphasising hybrid quantum-classical approaches and the maturity of quantum technologies for scientific use. Subsequent sessions will examine data-intensive HPC, cybersecurity and system resilience as cross-cutting challenges that shape reliable and secure computational infrastructures. Industry-led site visits will provide practical insights into real-world system design and energy management. The programme will conclude with sessions on sustainable HPC, linking architectural, algorithmic, and data-driven advances to long-term scientific impact.
For more information: https://eumaster4hpc.eu/summer-school-2026/
Explore a comprehensive listing of internship opportunities complete with detailed descriptions and requisite qualifications.
Discover an extensive array of job and Ph.D. opportunities, featuring in-depth descriptions and essential qualifications.
Introduction to GPU Acceleration with Python
- Date: 12 October 2026
- Format: online
Artificial intelligence is reshaping the conditions of human agency, identity, and autonomy at a pace that outstrips our capacity to understand it. Algorithms increasingly mediate how we work, learn, form relationships, and understand ourselves. This Europaeum Winter School will examine how our individuality is destabilised when our preferences are predicted, our choices shaped by recommendation systems, or our creative and intellectual labour replicated. It will engage questions of how personal autonomy can be protected in algorithmically mediated societies, how work and human purpose can survive advances in automation, and what issues of accountability, consent, and dignity arise in human-AI interaction.
Applicants must be Master’s or PhD students enrolled at a university or a department that is a member of the Europaeum network.
To apply, please send your completed application form, brief CV and statement of purpose (up to 500 words) to applications@europaeum.org. One academic reference should also be sent directly by your referee to the same email by the deadline. If also applying to present a paper, please include a short abstract of the proposed paper (up to 500 words).
Deadline for submission of applications: 19 October 2026
For more information: https://europaeum.org/cfa-the-winter-school-2027-on-the-individual-in-the-age-of-ai/
The University of Luxembourg, in partnership with MathWorks, is pleased to offer a workshop entitled "Mastering MATLAB: From Parallel Programming to HPC Integration" on Monday, 1 April 2025.
EUMaster4HPC - Career and Programming Models Workshop
Universitat Politècnica de Catalunya
Barcelona, November 30th, 2022 (11:00 - 13:00 and 14:30 - 16:30) Universitat Politècnica de Catalunya, C6 Building and online.
Workshop: “HPC and Multidisciplinary Fields” in Orléans – Université d’Orléans, Thursday 14 December 2023
Workshop: Career Day and BSC Quantic Group Presentation, 23 February 2024, UPC Barcelona
Topics: Career Day and BSC Quantic Group Presentation
When: Friday 23 February 2024
Where: Universitat Politècnica de Catalunya (UPC) in Barcelona
Middle East Technical University
Unlock the secrets of cancer genomes with METU's "Cancer Genome Analysis with SigProfiler Suite" MOOC. Learn cutting-edge techniques, delve into mutation signature analysis, and harness computational tools for groundbreaking insights. Perfect for researchers, healthcare pros, and students passionate about advancing cancer research.
Politecnico di Milano
Embark on a journey into the quantum realm with Politecnico di Milano's "Introduction to Quantum Computing" MOOC. Discover the basics of quantum computing, from qubits to quantum algorithms, and explore its potential to revolutionize technology. Perfect for tech enthusiasts and curious minds alike, this course offers a gateway to understanding the forefront of computing innovation.
AGH University of Krakow
Green computing (also known as green IT or sustainable IT) is the design, manufacture, use and disposal of computers, chips, other technology components and peripherals in a way that limits the harmful impact on the environment, including reducing carbon emissions and the energy consumed by manufacturers, data centers and end-users.
Sorbonne University
Dive into the world of massive parallel programming on GPUs with Sorbonne University's comprehensive MOOC. Learn the essentials of harnessing GPU power for accelerated computing and explore diverse applications across various domains. Whether you're a programmer, researcher, or tech enthusiast, this course equips you with the skills to unlock the full potential of GPU parallelism.
University of Luxembourg
This course covers GPU programming with OpenACC, OpenMP Offloading, and HIP, focusing on Nvidia and AMD GPUs. Participants will learn key concepts like compute and loop constructs, data clauses, and GPU architecture, including parallel thread blocks for computational tasks. Memory management between CPU and GPU, hybrid programming, and CPU optimization will be emphasized. Additionally, the course includes GPU-accelerated linear algebra, iterative solvers, and profiling techniques to identify bottlenecks and further optimize code.
University of Luxembourg
COMING SOON
Introduction to quantum computing and mechanics, transmon qubit, trapped ion quantum computing, Universal algorithms (Shor’s algo, QPE, Grover’s algo, HHL, Bernstein-Vazirani), NISQ algorithms (VQE, QAOA, VQLS), Quantum Machine Learning, Quantum Annealing
University of Luxembourg
COMING SOON
Introduction to Python, Linear algebra, Numerical Derivatives, Numerical integrals, Integro-differential equations, Finite Elements and Finite difference methods. Modern chapters of computational methods for physics, chemistry, biology and engineering.