Majesa began her studies in Electrical Engineering and Information Technology at TU Wien, where she distinguished herself with merit scholarships and top placements in engineering competitions. She broadened her academic horizon through an exchange semester at ETH Zurich, writing her bachelor’s thesis on machine learning techniques for domain-adaptive semantic segmentation.
Her decision to join the EUMaster4HPC double-degree programme allowed her to specialise further in high-performance computing. At the University of Luxembourg, she completed her first year with outstanding results. Her top scores in courses such as Distributed Systems, HPC Algorithm Design & Verification, and Machine Learning highlighted her ability to master both theoretical and applied aspects of computing. In recognition of her achievements, she was awarded the Top Student Award by the university.
Majesa has actively contributed to HPC research. At the University of Luxembourg, she worked as a student researcher on sparse neural networks, exploring efficiency gains through sparsity and their applications to AI. In summer 2024, she joined the Vienna Scientific Cluster as an intern, where she developed profiling tools to analyse GPU-intensive applications and optimised HPC workloads for greater performance and sustainability.
Currently, she is completing her Master’s thesis at the Barcelona Supercomputing Center, where she is benchmarking and evaluating emerging HPC technologies, including the NVIDIA Grace CPU, on the experimental partition of MareNostrum 5. Her work involves designing methodologies, selecting benchmarks, and comparing architectures—providing valuable insights into the future of heterogeneous HPC systems.
Beyond her academic and research achievements, Majesa has been highly visible in the international HPC community. She received a Student Travel Grant from SIGHPC to attend SC24, volunteered at ISC High Performance 2024, and participated as both panelist and ambassador at the EuroHPC Summit 2025. In Krakow, she spoke on strategies to attract and retain HPC talent, bringing a student perspective to a stage shared with stakeholders from academia, industry, and government.
As an EUMaster4HPC Ambassador, she mentored students from younger cohorts, guiding them through major events and helping them integrate into the community. She is also active in Women in HPC, benefitting from mentorship herself while also contributing to a more inclusive environment in the field.
Majesa’s efforts have been recognised through multiple scholarships and awards, including the Engineering Scholarship from E-Fellows, merit-based scholarships at TU Wien, and recognition as one of the top four students of her faculty at the University of Luxembourg. From mentoring high school students in Vienna through the Sindbad programme, to representing her peers at global HPC conferences, her leadership has consistently been about supporting others.
Majesa describes her journey as one of making the most of every opportunity the programme offered—whether through international research internships, conference engagement, or academic recognition. Looking forward, she aims to pursue a PhD in High-Performance Computing, building on her expertise to contribute to the development of sustainable and efficient HPC systems.
“EUMaster4HPC gave me the chance to combine research, community, and international experience. Now I want to help others see the same potential in front of them and inspire the next generation of HPC professionals.”
Majesa Trimmel’s journey shows how talent, hard work, and international opportunities can open the door to a career in supercomputing. From Vienna to Luxembourg and Barcelona, she made the most of every step of her education and is now ready to shape the future of high-performance computing.
