Battery Modelling Researcher
hace 13 días
Vigo
Job Title: 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 Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación. 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. 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. xcskxlj NVISION will not provide VISA sponsorship as a general rule, but if the candidate is enough qualified it will be considered as an exception Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.