Wärtsilä Corporation
Senior Battery Scientist
Wärtsilä Corporation, Herndon, Virginia, United States, 22070
Function: Digital Technology & InnovationJob Category: Digital Technology and Open InnovationSenior Battery Scientist
Wärtsilä Energy Storage & Optimization (ES&O) is the leading global energy storage optimizer. Our mission is to deliver integrated energy solutions that build a resilient, intelligent, and flexible energy infrastructure - unlocking the way to an optimized renewable future. By integrating renewables, energy management technology, and storage with traditional energy resources, we reinvent clean energy production from the largest and most complex grids to the most remote and essential microgrids. We play a key role in Wärtsilä’s vision towards a 100% renewable energy future through flexibility, reliability, and integration and a more sustainable world for us all.Role Summary/PurposeThe Senior Battery Scientist will assist in the development of battery models, simulation tools, forecasting methods, and performance monitoring and analytics capabilities for lithium-ion based energy storage systems. The role will be an integral part of the Software Engineering and Data Science team in a Research and Development role, working to accelerate the development of our software capabilities while supporting customer facing product development and simulation efforts. Day to day activities will include algorithm development, sales engineering support, supply agreement support, product design support, and other business needs.Essential Responsibilities• Develop electrical and physical models of lithium-ion batteries.• Develop statistical models to predict and monitor energy storage system performance.• Apply lab-based learnings to field data for prognostic recommendations and problem identification.• Implement, test, and validate models with field data.• Report and monitor ongoing lab testing.• Write documentation on algorithm and model improvements to clearly communicate the structure of new methods and implementations, including justification.• Build software products and algorithms to estimate state of charge (SoC), SoC Imbalance, SoH, Usable Energy, Round trip efficiency, and other plant level performance metrics, including collaboration with product and engineering teams.• The candidate must be able to embrace the fast and dynamic environment of a growth stage company, comfortable with adjusting quickly to changing priorities.Qualifications/Requirements• M.S. or Ph.D. in battery chemistry, physics, mathematics, engineering, or related sciences.• Research related to and experience with lithium-ion batteries.• Experience with numerical methods including differential and partial differential equation solvers.• Expertise in statistical analytics including regressions and machine learning techniques.• Proficiency in Python as a programming language (3+ years).• Track record of a career trajectory towards and in software engineering.• Knowledge of lithium-ion battery simulation techniques or electrical power systems engineering.Desired Characteristics• A PhD thesis centered around Battery end of life modeling.• Deep understanding of LFP batteries.• An academic concentration on renewable energy.• Work or academic experience in the energy industry.• Prior experience with production systems running advanced statistical algorithms and machine learning.• Experience with open-source analytic and data munging software.• Familiar with large, distributed datasets for high-speed computing.• Strong leadership record with active participation in renewable energy associations, forums, clubs, or groups.Why you and us:You will be a part of a global organization with local presence and work in an exciting and dynamic working environment with highly motivated and skilled co-workers. We offer interesting and challenging work tasks, as well as personal and professional development in a great team. If you feel excited by being a part of this working environment and think your personal skills and qualities match the job requirements, we look forward to receiving your job application. At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.We are not accepting unsolicited submissions from 3rd party recruitment agencies.Successful applicant must be authorized to work in the USA without sponsorship.
We look forward to hearing from you. Qualified candidates must apply online:
https://www.wartsila.com/careersIndividuals hired for positions that require on-site customer interactions and/or in-person travel may be required to be fully vaccinated against COVID-19 or other country-specific vaccinations, unless otherwise prohibited by law. Wärtsilä North America values our employees. We offer a competitive salary and comprehensive benefits package. Wärtsilä North America is an EOE/AA employer.
#J-18808-Ljbffr
Wärtsilä Energy Storage & Optimization (ES&O) is the leading global energy storage optimizer. Our mission is to deliver integrated energy solutions that build a resilient, intelligent, and flexible energy infrastructure - unlocking the way to an optimized renewable future. By integrating renewables, energy management technology, and storage with traditional energy resources, we reinvent clean energy production from the largest and most complex grids to the most remote and essential microgrids. We play a key role in Wärtsilä’s vision towards a 100% renewable energy future through flexibility, reliability, and integration and a more sustainable world for us all.Role Summary/PurposeThe Senior Battery Scientist will assist in the development of battery models, simulation tools, forecasting methods, and performance monitoring and analytics capabilities for lithium-ion based energy storage systems. The role will be an integral part of the Software Engineering and Data Science team in a Research and Development role, working to accelerate the development of our software capabilities while supporting customer facing product development and simulation efforts. Day to day activities will include algorithm development, sales engineering support, supply agreement support, product design support, and other business needs.Essential Responsibilities• Develop electrical and physical models of lithium-ion batteries.• Develop statistical models to predict and monitor energy storage system performance.• Apply lab-based learnings to field data for prognostic recommendations and problem identification.• Implement, test, and validate models with field data.• Report and monitor ongoing lab testing.• Write documentation on algorithm and model improvements to clearly communicate the structure of new methods and implementations, including justification.• Build software products and algorithms to estimate state of charge (SoC), SoC Imbalance, SoH, Usable Energy, Round trip efficiency, and other plant level performance metrics, including collaboration with product and engineering teams.• The candidate must be able to embrace the fast and dynamic environment of a growth stage company, comfortable with adjusting quickly to changing priorities.Qualifications/Requirements• M.S. or Ph.D. in battery chemistry, physics, mathematics, engineering, or related sciences.• Research related to and experience with lithium-ion batteries.• Experience with numerical methods including differential and partial differential equation solvers.• Expertise in statistical analytics including regressions and machine learning techniques.• Proficiency in Python as a programming language (3+ years).• Track record of a career trajectory towards and in software engineering.• Knowledge of lithium-ion battery simulation techniques or electrical power systems engineering.Desired Characteristics• A PhD thesis centered around Battery end of life modeling.• Deep understanding of LFP batteries.• An academic concentration on renewable energy.• Work or academic experience in the energy industry.• Prior experience with production systems running advanced statistical algorithms and machine learning.• Experience with open-source analytic and data munging software.• Familiar with large, distributed datasets for high-speed computing.• Strong leadership record with active participation in renewable energy associations, forums, clubs, or groups.Why you and us:You will be a part of a global organization with local presence and work in an exciting and dynamic working environment with highly motivated and skilled co-workers. We offer interesting and challenging work tasks, as well as personal and professional development in a great team. If you feel excited by being a part of this working environment and think your personal skills and qualities match the job requirements, we look forward to receiving your job application. At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.We are not accepting unsolicited submissions from 3rd party recruitment agencies.Successful applicant must be authorized to work in the USA without sponsorship.
We look forward to hearing from you. Qualified candidates must apply online:
https://www.wartsila.com/careersIndividuals hired for positions that require on-site customer interactions and/or in-person travel may be required to be fully vaccinated against COVID-19 or other country-specific vaccinations, unless otherwise prohibited by law. Wärtsilä North America values our employees. We offer a competitive salary and comprehensive benefits package. Wärtsilä North America is an EOE/AA employer.
#J-18808-Ljbffr