Overview
On Site
Full Time
Skills
Machine Learning (ML)
Research design
Artificial intelligence
Gradient Boosting
Deep learning
Electrical engineering
Chemical engineering
Computer engineering
Materials science
Research
Chemicals
Algorithms
Estimating
System on a chip
Modeling
Python
Chemistry
Leadership
FOCUS
Recruiting
Screening
Job Details
Description
Research, develop, and improve battery electric vehicle (BEV) next-generation lithium-ion batteries (Li-ion batteries or LIBs) and alternative sodium and phosphate-based materials, including performance and cycle life of positive and negative electrodes. Perform and execute research to better understand chemical failure mechanisms of future BEV LIBs. Research, design, and conduct laboratory experiments to study and develop cathode materials for LIB applications. Investigate, research and develop Machine Learning algorithm to determine battery state estimation, State of Charge (SOC) and State of Health (SOH) estimation for LIBs. Predict specific capacity of LIBs using Artificial Intelligence and determine dynamic resistance of LIBs. Develop robust solution frameworks for modeling problems, based on Artificial Intelligence (AI) and nonlinear Machine Learning (ML) models including Gradient Boosting (GB), Bagging, Recurrent Neural Networks (RNN), Autoencoders (AE), and Deep Learning (DL), manipulating problem-specific information to tailor algorithms with customized regularization, model architecture and objective function. Implement proposed methods in parallelized and modular Python programs
Additional Description
PhD in Electrical Engineering, Chemical Engineering, Computer Engineering, Materials Science, Chemistry, or related field, and six (6) months' experience as an Engineer, Researcher, Graduate Research Assistant, or related role. Must also have experience with: researching and developing battery electric vehicle (BEV) next-generation lithium-ion batteries (LIBs) or alternative sodium-ion batteries (NIBs) including performance and cycle life.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Research, develop, and improve battery electric vehicle (BEV) next-generation lithium-ion batteries (Li-ion batteries or LIBs) and alternative sodium and phosphate-based materials, including performance and cycle life of positive and negative electrodes. Perform and execute research to better understand chemical failure mechanisms of future BEV LIBs. Research, design, and conduct laboratory experiments to study and develop cathode materials for LIB applications. Investigate, research and develop Machine Learning algorithm to determine battery state estimation, State of Charge (SOC) and State of Health (SOH) estimation for LIBs. Predict specific capacity of LIBs using Artificial Intelligence and determine dynamic resistance of LIBs. Develop robust solution frameworks for modeling problems, based on Artificial Intelligence (AI) and nonlinear Machine Learning (ML) models including Gradient Boosting (GB), Bagging, Recurrent Neural Networks (RNN), Autoencoders (AE), and Deep Learning (DL), manipulating problem-specific information to tailor algorithms with customized regularization, model architecture and objective function. Implement proposed methods in parallelized and modular Python programs
Additional Description
PhD in Electrical Engineering, Chemical Engineering, Computer Engineering, Materials Science, Chemistry, or related field, and six (6) months' experience as an Engineer, Researcher, Graduate Research Assistant, or related role. Must also have experience with: researching and developing battery electric vehicle (BEV) next-generation lithium-ion batteries (LIBs) or alternative sodium-ion batteries (NIBs) including performance and cycle life.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.