BCAM - Basque Center for Applied Mathematics

15 years of research and transfer

BCAM is the research center on applied mathematics created with the support of the Basque Government and the University of the Basque Country.

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Job offers

At BCAM, we are dedicated to fostering the professional growth of all our team members. Discover our latest job offers to engage in international research projects.

Job offers at BCAM

Events

BCAM actively engages in organising and hosting scientific activities for the scientific public and the general public. The topics, cover all areas of knowledge of the centre.

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Events

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September - January 18 29 2025 - 2026

10:00-11:00

Reading Seminar on Geometry Processing and Computational Fabrication

Michael Barton (BCAM)

October 21 31 2025

10:00-12:00

BCAM Course | Convex integration for the Monge-Ampère system and other geometric problems

Marta Lewicka (University of Pittsburgh)

October 28 29 2025

10:00-13:30

BeZientzia 2025

October 30 2025

12:00

Applied Fluid Mechanics Colloquium

Patrick E. Farrell (University of Oxford)

November 03 05 2025

TBA

2nd Bilbao Workshop on Fluid Dynamics

Latest news

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Job Offers

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October 31st 2025, 11:27 CET

IC2025_09_01_BCAM Internship: Analysis and automatic detection of cardiorespiratory parameters using wearable devices during high-intensity exercise

Internship

November 17th 2025, 14:00 CET

IC2025_10_02 Research Technician/PhD student in Bayesian inverse problems in brain simulation.

Research Technician (R1)

December 1st 2025, 14:00 CET

IC2025_10_01_BCAM Internship: The Mathematics of Machine Learning and Artificial Intelligence

Internship

Latest publications

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Smoothed Dissipative Particle Dynamics for Mesoscale Advection-Diffusion-Reaction Problems

Echeverría, M.; Moreno, N.; Ellero, M. (2025-10-01)

Smoothed dissipative particle dynamics (SDPD) is a widely used particle-based method for modeling soft matter systems at mesoscopic and macroscopic scales, offering thermodynamic consistency and direct control over the fluid...

How particular is the physics of the free energy principle?

Aguilera, M.; Millidge, B.; Tschantz, A.; Buckley, C.L. (2022-03-01)

The free energy principle (FEP) states that any dynamical system can be interpreted as performing Bayesian inference upon its surrounding environment. Although, in theory, the FEP applies to a wide variety of systems, there ...

From the free energy principle to a confederation of Bayesian mechanics: Reply to comments on “How particular is the physics of the free energy principle?”

Aguilera, M.; Millidge, B.; Tschantz, A.; Buckley, C.L. (2023-03-01)

Recurrent, nonequilibrium systems and the Markov blanket assumption

Aguilera, M.; Buckley, C.L. (2022-09-29)

Markov blankets - statistical independences between system and environment - have become popular to describe the boundaries of living systems under Bayesian views of cognition. The intuition behind Markov blankets originates...