AI Battery Simulation Expert

OverviewAbout Huawei Finland R&DWith 28 sites across Europe and over 2000 researchers, Huawei’s European Research Institute (ERI) oversees fundamental and applied technology research, academic research cooperation projects, and strategic technical planning across our network of European R&D facilities. Huawei Finland Research Center was established in 2012. At our sites in Helsinki and Tampere, you will have an outstanding opportunity to be part of the leading research and development of future smart devices. We offer a career in a forward-looking industrial research team with a solid track record in innovation and publication, delivering its results as factual contributions to on-the-market devices.Job DescriptionWe are now looking for an AI Battery Simulation Engineer to join our Helsinki Hardware and System Lab.ResponsibilitiesDeveloping codes for battery simulation models (electrochemical, thermal, mechanical, abuse) in connection with data driven models (lab test data, field data), to solve for example SoH prediction, knee-point aging prediction, considering also unique characteristics of silicon / graphite anodes.Extending battery life involves charging and using optimization, which involves electrochemical models and machine learning.Track the academic frontiers and research trends of data-driven battery prediction technologies in Europe, and help Huawei maintain long-term and good cooperation relationships with universities.At least 5 years’ experience in battery mechanism / design / development / manufacture. Candidate who has experience for project management are preferred.Required qualifications and skillsStudied in either mathematics, applied physics, battery research, energy storage, material science, mechanical engineering, chemistry, electrochemistry, or any related field; Master degree is required and Ph.D degree is preferred. Interdisciplinary background in electrochemistry and data analysis / machine learning is preferred.Expertise in mathematical modeling of the electrochemical behavior of electrochemical cells using PDEs or systems of ODEs.Knowledge of data analysis, feature engineering and machine learning algorithms. Algorithm background of Physics Awared / Informed Neural Network or Long Short-Term Memory is preferred.Proficient in at least one major compiled programming language like Python, Matlab, or C++.Fluent in written and spoken English as working language. Good communication skills and multi-cultural environment adaptability.LocationHelsinki, FinlandBenefitsHuawei offers opportunity to learn from the best of mobile industry. Working at Huawei in international atmosphere is fun and the opportunity to develop your skills and competences is endless. As we are second largest mobile phone brand in the world, in a long term you have opportunity to relocate around the world. Are you ready for the challenge?About HuaweiHuawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have 207,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.Huawei continues to invest in basic research and open innovation and accommodates and addresses customer needs with an open mind, while steering these needs with science and technology. We have also built flexible business models and encourage numerous industries to adopt a vast range of models and applications. Through such initiatives, we are bringing digital to every person, home and organization for a fully connected, intelligent world.We seek and reward talent! At Huawei, if you are dedicated to creativity, engagement of technical risks and delivery of target-driven results, your efforts will be rewarded with outstanding career prospects.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionOtherIndustriesTelecommunications

#J-18808-Ljbffr