How did it come about?
BCAM, through its research work, has a clear strategic line towards the international community, as it seeks to promote mathematical research to identify, understand and solve society's challenges.
Due to this need, the BCAM Project Office emerges. The main objective of this Office is to obtain the necessary resources to provide support for the participation of researchers in regional, statal, and European programs.
Areas of action - What is our function?
This Office offers a comprehensive service that covers a project's life cycle, from identifying funding opportunities to planning, execution, follow-up, and closure of projects, including efficient economic and administrative management. Accordingly, support is offered to research staff in the following aspects:
Connecting ideas with funding opportunities and professional career development guidance.
Design and presentation of proposals and their associated documentation.
Support in the search for agreements and contracts.
Project monitoring and control.
Project justification and audits (if required).
Any other management related to the development of the project.
Our team - Who are we?
This office has a transversal nature, and it is made up of a multidisciplinary team, formed by three professionals with different profiles. They work with the common goal of helping and facilitating the work of the center's scientific team in terms of project management and they are supported by the rest of BCAM's administrative team.
Miguel Ángel Benitez Lozano- Project Manager
Ainara Gonzalez Blanco- Project Manager
Nerea Mena Bikandi- Project Officer
People attraction management:
Idoia Hernandez- Management Assistant
June Fuentes- Internship
Economic justifications and audits:
Irantzu Elespe- Management Assistant
Asier Sojo- Management Assistant
Josu Diaz- Internship
Legal aspects of the programs:
Oriana Elejalde- Management Assistant
Communication and dissemination of the programs:
Olatz Aretxabaleta- Community Manager
Esti Gutierrez- Community Manager
BERC Programme 2022-2025
Unifying data processing via probabilistic transformations
The project main goals are to establish a theoretical unifying framework for data-driven problems (DPs), and to develop probabilistic data processing techniques (DTs) that effectively exploit data in a unified manner.
Microscopic foundations of soft-matter experiments: computational nano-hydrodynamics
An accurate interpretation of output data in soft-matter experiments requires a general theoretical framework able to encapsulate the relevant physics and rationalize the results.
Singularidades en Geometria Algebraica y sus interacciones con Topologia, Geometria Metrica y Geometria Simplectica
The coordinated reseach proposal contains a very comprehensive set of objectives and developments in Singularity Theory and its applications from a modern viewpoint.
IA4TES - Inteligencia Artificial para la Transición Energética Sostenible
The project researches the solutions that can be provided by the different Artificial Intelligence technologies to the electricity sector, thinking about the new paradigm of the electricity system, with a mostly renewable production, a mixture of centralised and distributed; with a digitalised and a
MATH4SPORTS - Modelización matemática para la industria deportiva: salud y rendimiento
MATH4SPORTS seeks to transfer applied mathematics as a driving technology to the field of the sports industry, with a high potential for technology transfer to start-ups, professional clubs, researchers and other agents in the innovative environment of Bizkaia.
KONFLOT - Codiseño de control de energías renovables flotantes
The objective of KONFLOT is to establish a design methodology that considers, from the early stages of design, the different subsystems, their dynamics and interactions and the performance of the available controls.
SosIAMet - Tecnologías Inteligentes Sostenibles para el Sector del Metal del Futuro
The overall objective of the SosIAMet project is to advance in the development of Intelligent Technologies for the recovery, reuse and valorisation of materials based on AI for the Sustainable Metal Sector of the Future, increasing the circularity and competitiveness of the industrial fabric, ada
EGIA - EdGe technologies for Industrial distributed AI applications
EGIA aims to research and develop the technologies necessary to make it practically feasible to run industrial AI applications on the Edge, i.e. on (or near) the cyber-physical devices that generate the data.
CHARGER+ - Nueva Generación de Puntos de Recarga de Vehículo Eléctrico con Funcionalidades Autónomas y Colaborativas e Impacto Cero
The general objective of the CHARGER+ project is to generate the necessary knowledge to define a new generation of electric vehicle (EV) charging points, so that the related Basque companies (electricity companies, charging post installation companies and charger manufacturers) will be in an adva
KAIROS - Digitalización predictiva del comportamiento a largo plazo de materiales poliméricos composites. Empleo de IA, modelización basada en la física y metodologías de aceleración de ensayos
KAIROS was created with the main objective of researching and obtaining a solution that allows multi-scale digitisation combined with ML and accelerated testing methodologies, for the study of the long-term behaviour (creep, fatigue, ageing) of polymeric materials applicable, for example, to the
M-KONTAK - Investigación de los Fenómenos Asociados al Contacto Metal-Metal en Tecnologías de H2 a Alta Presión
The main objective of the M-KONTAK project is to gain an in-depth understanding of the failure modes and their effect on metallic materials and the surfaces of threaded joints in candidate technologies for high-pressure H2 effect on the metallic materials and surfaces that make up the threaded jo
Optimización del proceso de fusión de aluminio a través de tecnología matemática
At a national level, more than 300 kT/year of secondary aluminium is recovered in order to reintroduce it into the industrial sector for its various applications. It is a booming market in a context of raw material crisis.
ICME: Metodología de modelización multi-escala proceso-microestructura-propiedades-desempeño para la agilización del diseño de materiales, procesos y componentes metálicos en la industria vasca
The aim of the project is the development of a multi-scale modelling methodology for metallic materials that allows establishing the relationship between the chemical composition of the material and the characteristics of its manufacturing process, with the resulting microstructure, with the materia
REMEDY: REal tiME control and embeddeD securitY
REMEDY aims to create cybersecurity technologies for the lowest layers of industrial automation, positioning the Basque industrial ecosystem at the forefront of Europe. Fully aligned with the strategic objective of Smart Industry, developing the base technology of Cybersecurity and applying it to th
5G: Infraestructura federada de Experimentación para aplicaciones Industria 4.0
The overall objective of the project is to enable an internationally leading 5G technology platform, the BINDUSTRY5G platform, open and interactive, and based on the coordination of a set of advanced 5G laboratories provided by technology centres and universities of the RVCTI, and on the incorporati
ExpertIA: Evolución del modelado y control de proceso industrial: modelos avanzados combinando conocimiento experto con técnicas IA en el diseño y desarrollo
ExpertIA proposes to start from the classical models of resolution or FEM models (finite differences for solving differential equations that describe the behaviour of many physical systems) with AI/ML/DL techniques that allow: 1) to reduce the computation time required by numerical models; 2) to red
Evaluación del impacto epidemiológico y económico de las vacunas para COVID-19 según comorbilidad y nivel socioeconómico en el País Vasco
Four COVID-19 vaccines are currently on the market (P zer / BioNTech, Moderna, Oxford-Astrazeneca and Janssen). It is necessary to assess the epidemiological and economic impact of the vaccination process. This requires the use of dynamic models that take into account the herd e ect.
AUTOEV@L: Evolución tecnológica para la automatización multivehicular y evaluación de funciones de conducción altamente automatizadas
The Mobility industry (Automotive and Railway) has a great weight in the industrial activity of the ACBC. The ACBC is a natural and industrial environment which provides particularly outstanding development conditions for the Automotive Sector.
CICe21: Investigación en modelos materiales y componentes para la futura generación de baterias en movilidad
This project proposes to use predictive simulation to address this challenge. The ultimate goal is to make realistic predictions capable of contributing significantly to the development of the material and cell architecture of future generation (Gen3b) industrial battery prototypes.
High Performance Computing for Geophysics Applications
Simulating large-scale geophysics phenomenon represents, more than ever, a major concern for our society. Recent seismic activity worldwide has shown how crucial it is to enhance our understanding of the impact of earthquakes.
KnowTech3D - Knowledge Transfer of Numerical Analysis and 3D Simulation Technologies Applied on Engineering Research Programmes
Researchers who deal with numerical analysis and 3d simulation techniques will demand answers to the following questions: - Why are main driving forces in the development of advanced computing architectures? - What is the necessity of designing a new innovative approach? - What kind of changes shoul
Derivation of Effective Dynamics from Microscopic Evolution Equations
The derivation of macroscopic (effective) equations from microscopic considerations is a long-standing challenge of the mathematical analysis of many-body problems.
New methods and interactions in Singularity Theory and beyond
This project is centred in Singularity Theory and its interactions and applications to Complex and Algebraic Geometry, Differential/symplectic/Contact Topology, Hodge Theory and Algebraic Topology.
Forecast of time-varying effects of post-GFC monetary policy + a novel computing application
Central banks worldwide routinely use models in assessing and forecasting the global and domestic economic outlook in order to determine the most suitable monetary policies.