2021-Present: PhD candidate, Centrum Wiskunde & Informatica (CWI), (Scientific Computing Department), Amsterdam, the Netherlands
2020-2021 (6 months): Software Engineer, INRIA and Centre des Mathématiques Appliquées, Ecole Polytechnique, Palaiseau, France
2020 (6 months): Research and development intern, Institut de Recherche Technologique (IRT) Saint Exupéry (Multi-Disciplinary Optimization Group), Toulouse, France
2015-2020: Master of Applied Sciences and Technology (applied mathematics), Institut National des Sciences Appliquées (INSA), Toulouse, France
2018-2019: Exchange year (theoretical mechanics and applied mathematics), Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russia
S. Agdestein and B. Sanderse, Discretize first, filter next: learning divergence-consistent closure models for large-eddy simulation, https://arxiv.org/abs/2403.18088
S. Agdestein and B. Sanderse, Discretize first, filter next – a new closure model approach, in: eccomas2022. URL https://www.scipedia.com/public/Agdestein_Sanderse_2022a. doi: 10.23967/eccomas.2022.094
Syver Døving Agdestein, Try Nguyen Tran, Jing-Rebecca Li, Practical computation of the diffusion MRI signal based on Laplace eigenfunctions: permeable interfaces, NMR in Biomedicine. 2022; 35(3):e4646. doi: 10.1002/nbm.4646
Syver D. Agdestein and Kristian Valen-Sendstad and Alexandra K. Diem, (2018). Artery.FE: An implementation of the 1D blood flow equations in FEniCS. Journal of Open Source Software, 3(32), 1107, doi: 10.21105/joss.01107