Job Title:
Envíe su CV y cualquier información adicional requerida después de haber leído esta descripción, haciendo clic en el botón de solicitud.
Battery Modelling Researcher (Physics-Based & AI Models)
Location:
Barcelona, Spain
Position Overview
We are seeking a highly motivated and skilled researcher to join our
Smart Battery Unit
in Barcelona. The successful candidate will work at the intersection of electrochemical modelling, data-driven methodologies, and real-world battery systems
This role is focused on the development of advanced battery models that can be translated from research environments into practical applications, including Battery Management Systems (BMS), edge devices, and cloud-based platforms. The candidate will contribute to cutting-edge national and European R&D projects, while supporting the transition of innovative modelling approaches into scalable, production-ready solutions
Key Responsibilities
Develop and implement physics-based battery models, with a strong focus on electrochemical modelling (e.G., P2D and reduced-order models)
Design, develop, and validate data-driven and hybrid models for State of Charge (SoC), State of Health (SoH), and Remaining Useful Life (RUL) estimation
Work with and extend frameworks such as PyBaMM for simulation and model development
Translate advanced models into deployable solutions for BMS, including embedded (edge) and cloud-based architectures
Analyse experimental and real-world battery data for model calibration and validation
Contribute to the development of Digital Twins for battery systems
Collaborate with multidisciplinary teams across Artificial Intelligence (AI), Internet of Things (IoT), and hardware domains
Support proposal preparation and technical development in European R&D projects (e.G., Horizon Europe)
Required Profile
Strong background in battery modelling, including:
Electrochemical models (essential)
Physics-based modelling approaches
Proficiency in Python for scientific computing
Hands-on experience with PyBaMM
Solid understanding of battery systems and Battery Management Systems (BMS)
Experience working with experimental data and model validation
Degree in Electrical Engineering, Chemical Engineering, Physics, or a related field (MSc or PhD preferred)
Fluency in English
(written and spoken).
Spanish
is much recommended
Highly Valued Skills
Experience in data-driven models (Machine Learning / AI) applied to battery systems
Knowledge of hybrid modelling approaches (physics-based + machine learning) or physics-informed models
Experience deploying models on embedded systems or edge devices (e.G., microcontrollers, TensorFlow Lite)
Experience in battery characterization
Familiarity in Digital Twin concepts and IoT platforms
Experience in redox flow batteries or alternative chemistries beyond lithium-ion
Previous involvement in European or national R&D collaborative projects
What We Offer
Opportunity to work on state-of-the-art battery modelling bridging research and industrial deployment
Exposure to the full technological stack, from electrochemistry to AI models and edge/cloud integration
Participation in high-impact European innovation projects
A collaborative and multidisciplinary working environment
Flexible working conditions, including hybrid work arrangements
About NVISION / Smart Battery Unit
NVISION brings advanced R&D in IoT, Artificial Intelligence, and energy systems into real-world applications. xhfqzwm Within the Smart Battery Unit, we focus on next-generation battery intelligence by combining physics-based modelling, AI, and digital platforms to enhance battery performance, safety, and lifetime across mobility and stationary applications
We're looking for someone at +/-2h timezone from Barcelona (Spain, CET), for the sake of coordination and synergies with the team. NVISION will not provide VISA sponsorship as a general rule, but if the candidate is enough qualified it will be considered as an exception