battery algorithms developer - Neuchâtel, Schweiz - EPFL - Ecole Polytechnique Fédérale de Lausanne

    EPFL - Ecole Polytechnique Fédérale de Lausanne
    EPFL - Ecole Polytechnique Fédérale de Lausanne Neuchâtel, Schweiz

    vor 3 Wochen

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    Beschreibung
    EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 17,000 people, including over 12,500 students and 4,000 researchers from more than 120 different countries.

    BATTERY ALGORITHMS DEVELOPER %)

    Your mission :
    The energy transition is ongoing and the field around batteries is growing fast. This position is an exciting opportunity for a talented engineer/scientist to join the growing activities around batteries in Neuchâtel, in the frame of common projects and partnerships between the EPFL PV-lab and the Battery Innovation Hub of CSEM. A dynamic global team of over 110 scientist works at innovating for the energy transition on the Neuchâtel campus.
    Your mission is to develop innovative battery management algorithms for pioneering new Battery Management System (BMS) platforms. You will create and validate new concepts but also maintain and expand already validated algorithm frameworks. You will design model-based or data-driven algorithms and implement and validate associated battery models and SoX state estimators. You will closely work together with BMS engineers, where you will support the hard- and software team to implement your algorithms on our BMS platforms and work with the testing team to validate the performance of your algorithms based on laboratory data. We expect you to work in an autonomous manner, to train new team members to be proficient on the BMS algorithm development and maintenance, and to deliver high-quality results that are in line with industrial standards. Main duties and responsibilities include :
    • You design physics and data-based battery models and associated algorithms.
    • You design battery state estimators (e.g., SoC, SoH, SoS, etc.) and associated algorithms.
    • You implement these models/estimators together with suitable simulation environments on PC-based platforms.
    • You study academic papers, integrate your findings in your developments and share your insights with the team.
    • You support the software implementation onto BMS platforms together with software engineers.
    • You contribute to establish test plans for the performance evaluation together with the system engineers.
    • You execute the performance tests via suitable simulations or based on available laboratory data.
    • You support the integration of BMS software into embedded systems together with the BMS hardware team.
    • You document your work, make technical reports/presentations and scientific papers for international publication.
    Your profile :
    Know-how
    • PhD degree in Electrical Engineering, Energy, Electrochemistry or related fields, or equivalent experience
    • Knowledge of Lithium-ion battery technologies and associated behavior, e.g., degradation and safety
    • Knowledge of physics-based or data-driven modelling approaches for electrochemical storage systems
    • Knowledge of battery testing and performance validation under various operating conditions
    • Ideally, experience in modelling and simulation of electrochemical storage systems as well as in designing and implementing battery state estimators
    • Proven experience in Python/C programming and software development tools (e.g., GitHub, etc.)
    • Knowledge of requirements and experience in implementation for embedded systems
    • Experience in signal processing and control/optimization being a plus
    • Knowledge and experience in verification tools on PC and embedded systems being a plus
    • Professional proficiency in English (oral and written)
    • Ideally good knowledge of battery diagnosis technique such as EIS, IC/DV, and others being a plus
    Interpersonal skills
    • Open, creative, and result-oriented mindset
    • Highly motivated, eager to learn and with a strong sense of ownership
    • Autonomous with strong analytical capacity for solving technical problems and work organization
    • Clear presentation of accomplished work and potential issues
    • Natural curiosity and ability to work on multidisciplinary projects
    • Team player with good communication skills to interact constructively with colleagues and partners
    We offer :
    • An extremely dynamic and stimulating work environment
    • Excellent working conditions in a top university
    • World-class research and training
    • Inclusion in a network of national and international stakeholders
    Start date :
    as soon as possible Term of employment :
    Fixed-term (CDD)Work rate :
    80-100%Duration :
    maximum 4 years Remark :
    Only candidates who applied through EPFL website or our partner Jobup's website will be considered. Files sent by agencies without a mandate will not be taken into account.Reference :
    Job Nb 3061apply online