About e-Zinc
e-Zinc is an energy storage venture based in Toronto with a breakthrough technology poised to disrupt the market. As the global energy grid moves to higher levels of penetration of renewable energy, there will be an exponential increase in demand for low-cost, flexible, long-duration energy storage. This is the market targeted by e-Zinc, the first in the world to “metalize” electricity.
e-Zinc is on an incredible trajectory, which is illustrated by many significant funding and award milestones that recognize its unique technology and strong business plan, including:
e-Zinc is now looking to expand its talented team to bring its technology to market to support the renewable energy transformation.
Opportunity
e-Zinc is searching for a highly motivated and experienced Battery Simulation Specialist to join our Engineering department in the Greater Toronto Area. The ideal candidate will have a strong background in developing and implementing machine learning algorithms, particularly for battery systems, and experience with time series data.
Reporting to the Battery Simulation & Data Science Lead, this role will focus on state estimation, anomaly detection, and battery system modelling, with the opportunity to work on the development of a digital twin for battery systems. The position requires close collaboration with scientists and engineers across departments to gather necessary parameters and data for model validation and testing. Experience with MATLAB Simulink, CFD simulation, and Azure cloud is highly advantageous.
Position Scope and Responsibilities
- Design, develop, and implement advanced machine learning algorithms for battery system state estimation.
- Utilize historical and real-time data to improve the accuracy and reliability of state estimation models.
- Collaborate with data scientists, battery experts, and cross-functional teams to refine and optimize algorithms based on experimental data and validation results.
- Analyze time series data from battery systems to identify patterns, trends, and anomalies affecting performance and longevity.
- Develop predictive models to forecast battery behavior under various operating conditions.
- Contribute to the development of a digital twin by integrating machine learning algorithms with existing battery simulation models across domains such as electrochemistry, fluid dynamics, thermodynamics, and solid mechanics.
- Work on CFD simulations of air and electrolyte flow as part of the broader system modeling efforts.
Qualifications
Required:
- Master's degree in Chemical Engineering, Mechanical Engineering, Computer Science, or a related field (Ph.D. is a plus).
- Minimum of 2 years of experience in battery system simulation.
- Expertise in developing and implementing machine learning algorithms.
- Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Strong experience in MATLAB Simulink for simulation and model integration.
- Proficiency in handling and analyzing time series data.
- Demonstrated ability to interpret simulation results, identify performance issues, and suggest improvements.
- Excellent communication and collaboration skills to work effectively within cross-functional teams.
- Legally eligible to work in Canada.
An Asset:
- Experience with battery chemistry and materials, particularly in electrochemistry.
- Familiarity with cloud services for data handling, deployment, and analysis.
- Experience with CFD simulations for air and fluid dynamics is a plus.
Other Skills
- Motivated to strive and succeed in a start-up environment.
- Disciplined and hard working.
- Exceptional communications skills – oral, written, and presentation skills.
- High level of maturity, integrity and personal effectiveness.
- Personal accountability and commitment to achieving and exceeding goals and objectives.
Studies show that individuals in underrepresented groups tend to not apply for roles if they feel they do not meet all the listed criteria. If you find you are passionate about a role and meet a good portion of the items listed, we encourage you to apply!
At e-Zinc we are proud to be an equal opportunity employer where we consider, celebrate, and embrace diversity. We thrive in an environment of mutual respect and welcome all applicants.
Accommodations will be provided as requested by candidates at any stage of the hiring process. If you require accommodations, please email careers@e-zinc.ca.
