Electrochemical Engineering Postdoctoral Scholar

In this exciting role, you will simulate mathematically fuel cell systems and other related electrochemical devices and their components under both steady state and transient operation in The Energy Conversion Group at Energy Technologies and Systems Division of the Energy Technologies Area. Your work will entail model development, validation, and execution including collaboration with research partners, to verify and explain predicted trends seen in experimental data. The model should identify critical barriers and provide strategies to enable performance optimization and durability mitigation. In addition to cell level modeling, particular emphasis will be on understanding multi-ion transport and durability stressors including structure/function relationships across multiple time and length scales. Additionally, incorporating AI/ML into the multiphysics models via surrogate models or other data-driven methods will be a focus in this position. We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes! Responsibilities Develop and refine mathematical models to examine multidimensional, multiphysics, transport within an electrochemical cell including its various constitutive layers (e.g., porous transport layers, gas-diffusion and microporous layers, membrane, and catalyst layers). Analyze the results to examine limiting factors in performance as well as identify areas of deficiency in the model and propose new mathematical constructs to deal with them. Pursue microstructural simulations of transient phenomena within single components. Use AI/ML approaches (e.g., physics-informed neural networks) for surrogate model development. Validate model activities and comparison of simulation to experimental data for both input parameters and output results. Publish original research in peer-reviewed journals; contribute to scientific publications; present research through talks and posters at conferences, workshops, and multi-investigator meetings. Adhere with the Berkeley Lab and ETA safety requirements. Work on meeting milestones and reporting them to DOE and industrial sponsors. Collaborate and work with a team of researchers from diverse backgrounds, and interface with research teams from across industry, academia, and national laboratories. Additional Responsibilities Work on experimental characterization of cell performance and measurement of component properties. Interact with the LBNL fuel cell and electrochemistry community (with extensive experience in batteries, modeling of batteries and fuel cells, electrode material synthesis, spectroscopy, detailed diagnostics, and cell design) to aid in electrochemistry research. Participate in professional society activities. Qualifications PhD in chemical engineering, mechanical engineering, applied physics, or closely related field. Experience with mathematical modeling (i.e., continuum modeling) including in the application of transport phenomena in fuel cells or related devices and at various scales. Familiarity with high performance computing and code development and use including the use of AI/ML and surrogate model development for multiscale analysis. Excellent communication skills, both oral and written as well as technical writing. Ability to learn rapidly and integrate new fields to demonstrate creative problem-solving skills. Ability and willingness to work in a team environment and collaborate with researchers from various backgrounds. Ability to work as an independent researcher with a high level of scientific judgment and initiative. Knowledge of electrochemistry and related diagnostic methods and materials for fuel cells (both low and intermediate temperatures). Knowledge of constitutive relations and continuum theories. Desired Skills/Knowledge Demonstrated ability to take initiative for tackling cross-disciplinary research problems from initiation to meaningful conclusion. Experience with electrochemistry, hydrogen fuel cells, and transport phenomena. Demonstrated strong experience with finite-element methods and Comsol. Familiarity with machine learning and associated big data techniques. Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. #J-18808-Ljbffr Berkeley Lab