Electra believes in the capabilities of data analytics and machine learning to improve the performance of batteries when the entire system the EV operates in is accounted for. In this position, you will work with colleagues deeply familiar with electric vehicle systems, laboratory data, and real-world samples in order to optimize the charging and discharging of EV battery systems.
Responsibilities
- Using collected data from Electra partners, apply advanced statistical models and machine learning to extract and refine models such as:
- Anticipated power demand throughout an active driving cycle using route planning data
- Optimized driving velocity throughout an active driving cycle to maximize driving efficiency & battery life
- Optimal cell core temperature to minimize DC fast charge time
- Optimal current & timing for overnight charging to reduce electricity cost, extend battery life
More
- Support in the collection & cleaning of data for model training
- Lead the integration of these models into an existing EV simulation codebase with the support of other team members
- Continuously explore novel machine learning techniques to improve the performance of the adaptive models
- Support documentation pertaining to modeling techniques and deployment
- Manage Electra internal documentation pertaining to the system modeling, its integration into the codebase, and metrics regarding the accuracy of the models.
- Lead technical writing for patents which highlight advances in battery modeling & controls
- Develop visualization tools for geospatial and temporal datasets
Qualifications
- Master’s or PhD in a related field (e.g., CS, Operations Research, Software Engineering, Statistics)
- Strong programming skills with a solid foundation in data structures and algorithms
- Proficiency in data analysis, modeling, and web services in Python
- Proficiency in SQL relational databases and/or NoSQL databases
- Experience with statistical data analysis and machine learning such as linear models, time-series forecasting, or neural networks
Bonus
- Passionate about sustainable transportation and innovations within the field
- Demonstrate a strong systems engineering understanding for EV and mobility applications
- Experience with Agile project development & management
- Interest in product strategy and management to plan future development
- Strong communication and preference for working in teams
