Postdoctoral Fellowship (12) at Lawrence Berkeley National Laboratory, California, United States

Lawrence Berkeley National Laboratory is hiring a Energy Materials Postdoctoral Researcher within the Materials Sciences division. You will work with dynamic teams in multi-institutional consortia and carry out research activities, focusing on lithium-ion cathode development. The incumbent will carry out the following research activities:

• synthesize Li-cathode materials
• evaluate their electrochemical performance in Li-half cells and full cells
• characterize performance degradation mechanisms
• apply coating(s) and substitution(s) to improve cycling stability

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!

Lawrence Berkeley National Laboratory is hiring a Postdoctoral Scholar – AI-Assisted Physical Vapor Deposition of Thin Films within the Molecular Foundry Division. This position will accelerate process development and exploration of nonlinear optical and superconducting materials heterostructures. The postdoc will be part of a collaborative team of researchers in the Molecular Foundry from the Inorganic Nanostructures, Data Science and Infrastructure, Imaging and Manipulation, and nanofabrication facilities. The postdoc will create thin film heterostructures combining nonlinear optical materials and superconductors and other functional and passivation layers essential for realization of quantum transducers.

Novel materials in thin-film form are essential to the progress of quantum technologies. Thin-film synthesis of nonlinear optical materials with high χ2 coefficients of particular interest as it will enable fabrication of quantum transducers. These are devices that enable controlled conversion of signal or excitation from one physical carrier to another and combine photonic and superconducting circuits in a monolithic device. The Molecular Foundry has acquired recently thin film deposition cluster tools aimed at synthesis of thin film materials stacks to enable integration of new functional layers in quantum devices. Of particular interest is integration of Lithium Niobate or other high χ2 material with superconductors. We are looking for a researcher with experience developing synthetic protocols using reactive sputtering and pulsed laser deposition and relevant materials and thin film characterization techniques.

In this exciting role, you will conduct experimental work on electrochemical devices, including electrolyzers, fuel cells, and other electrochemical systems and their components in The Energy Conversion Group in the Energy Technologies and Systems Division of the Energy Technologies Area. The work will entail device fabrication, testing and associated diagnostics, component characterization and integration, and cell validation. You will collaborate with industrial and research partners to develop and utilize novel characterization and diagnostic methods to identify critical performance and durability barriers and provide and validate strategies to overcome them. In addition to cell level testing and integration, particular emphasis will be on understanding electrochemistry and homogeneous and heterogeneous reactions and component material properties including structure/function relationships across multiple time and length scales.

The Earth and Environmental Sciences Area at Lawrence Berkeley National Laboratory (LBNL) seeks a postdoctoral researcher to develop and curate unique and cutting-edge AI-ready data for the U.S. Department of Energy’s ESS-DIVE repository.

The DOE Biological and Environmental Research (BER) program produces uniquely valuable datasets increasingly used in AI/ML, but many are not AI-ready due to inconsistent formatting, missing metadata, or incompatible file types.

The selected candidate will join an interdisciplinary team to improve and expand upon how DOE environmental data is prepared for AI to further our understanding of Earth system processes and to enable environmental management. This includes working with ESS-DIVE users and the broader community to create machine-readable data products and develop tools and guidance for contributors.

The successful candidate will:

• Develop practical guidance for what “AI-ready data” should include that extends beyond the FAIR (Findable, Accessible, Reusable, Interoperable) principles 

• Build and extend tools that validate datasets, and check whether they meet AI-readiness requirements.

• Help automate dataset preparation using reporting format templates and structured workflows.

• Enable translation of legacy DOE data into AI-ready formats, lead creation of example AI-ready benchmark datasets and supporting documentation.

Lawrence Berkeley National Laboratory is hiring a Theoretical Atomic, Molecular and Optical Sciences (AMOS) Postdoctoral Fellow within the Chemical Sciences division. This position will develop theoretical and computational methods for the sophisticated treatment of the interaction of femtosecond and attosecond pulses of UV and X-ray radiation with atoms and molecules. A principal focus of this research is the application and development of ab initio methods for treating the molecular electronic ionization continuum. The holder of this position will apply theoretical methods already developed by the Atomic, Molecular and Optical Sciences (AMOS) theory group to such problems and extend those methods to treat new problems in ultrafast AMO physics. An essential goal of this position is to develop theoretical models and interpretations of attosecond time delays, transient absorption, time-resolved molecular photoionization and other multipulse ultrafast experiments.

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. 

Lawrence Berkeley National Laboratory is hiring a Postdoctoral Scholar within the Energy Geosciences Division.

Talented and experienced PhD researchers are encouraged to apply for this competitive postdoctoral position utilizing universal potentials, machine learning interatomic potentials, atomistic simulations, and computational thermodynamics to understand phase behavior in ionic liquids, solids, and the interfaces between them. The candidate will join a diverse team of researchers from multiple disciplines at Lawrence Berkeley National Laboratory and partner institutions, including National Laboratories, Universities, and Industry. 

The goal: Develop high-throughput approaches to predict new material reaction mechanisms and pathways.

The challenge: Deploy artificial Intelligence and machine learning to accelerate first-principles computation and to understand the thermodynamic behavior of ionic systems.

Lawrence Berkeley National Laboratory is hiring a Chemist Postdoctoral Scholar within the Energy Technologies and Systems division. You will direct and carry out diagnostic investigations of advanced energy storage systems; define the fundamental issues affecting rechargeable battery performance, study the nature of physico-chemical properties of interfaces, nanostructures, and the mechanism of electrochemical and chemical phenomena that determine the behavior of the electrochemical energy storage systems; characterize electrodes used in rechargeable batteries; prepare research publications, presentations and reports, assure the smooth operation of the electrochemical laboratories in Building 70.

The Relativistic Nuclear Collisions Program (RNC) of the Nuclear Science Division at Lawrence Berkeley National Laboratory (LBNL) is seeking outstanding candidates for one or more Postdoctoral Fellow positions.

RNC scientists have significant responsibilities and contributions in ALICE at the LHC, in the STAR and sPHENIX experiments at the Relativistic Heavy Ion Collider, and at Jefferson Lab. RNC researchers are also active contributors to the development of the physics program for the ePIC experiment at EIC and are leading the design of the ePIC Silicon Vertex Tracker.