17 Postdoctoral Fellowship at Lawrence Berkeley National Laboratory, California, United States

The Berkeley Lab’s Energy Geosciences Division is hiring a Postdoctoral Scholar in Geochemical Modeling, specializing in multicomponent reactive transport and inorganic aqueous geochemistry. The role involves applying reactive transport modeling to enhanced rock weathering projects, collaborating with a skilled interdisciplinary team. Lawrence Berkeley National Laboratory is a renowned center for earth system and climate science.

In this exciting role, you will work on computational analysis, data integration and machine learning among other methods directed towards innovative approaches to decode immune responses, among other biological processes. This position will contribute to research investigations into molecular mechanisms of immune response including investigating host-pathogen interactions, inflammation, and immunity in cell co-cultures and animal models, and potentially, clinical information. You will integrate systems biology, multi-omics, and discovery approaches with mechanistic information to ultimately address key questions concerning determinants of biological processes. You will organize results for presentation and viewing by project team members, the wider scientific community, and prepare results for publication in scientific journals, conference presentations and reports. You will be expected to generate at least two first author papers per year, and to participate in and co-author additional related manuscripts. Additionally, you will present results, aid in the preparation of grant applications, and help determine future research directions.

Lawrence Berkeley National Lab (LBNL) is an inclusive and supportive community of scientists and engineers making significant impacts in stride in the fields of materials science and energy. Join our dynamic team at the The Materials Sciences Division, where we are pioneering the future of materials and energy through adaptive interfacial assemblies. 

We are seeking candidates from diverse backgrounds for a Postdoctoral Scholar to lead the synthetic development of functional materials and systems comprising liquids structured using interfacial assemblies of small molecules, nanoparticles, polymers, biomolecules, etc. If you’re passionate about fundamental and use-inspired basic science and interested in how to leverage your expertise in synthesis and assembly to understand and control the properties of patterned or printed structured liquids, this position may be a good fit for you.

The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab seeks a highly motivated postdoctoral fellow to join the Programming Environments and Models team as part of NERSC’s Exascale Science Acceleration Program (NESAP). NESAP postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy Office of Science.

The Perlmutter Supercomputer is NERSC’s first production GPU-based system. Many workflows running at NERSC need to be adapted or optimized to run efficiently on GPUs. At the same time, solutions that put GPU performance in users’ hands need to be portable. In this role, as part of a multidisciplinary team composed of computational and domain scientists, you’ll develop and apply cutting-edge computer science, advanced performance analysis and software engineering to meet these challenges. In order to carry out this work you will collaborate closely with one or more NESAP teams.

The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab seeks a highly motivated postdoctoral fellow to join the Data Science Engagement team as part of NERSC’s Exascale Science Acceleration Program (NESAP). NESAP postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy Office of Science.

NERSC supports many research projects that involve end-to-end workflows. These workflows couple the computing power of the Perlmutter Supercomputer, NERSC’s first production GPU-based system, with other external resources (such as large-scale experiments, light sources, and observatories). In this role, as part of a multidisciplinary team composed of computational and domain scientists, you will develop and apply cutting-edge computer science, advanced performance analysis and software engineering to improve existing end-to-end workflows, as well as developing new ones. In order to carry out this work you will collaborate closely with one or more NESAP teams.

The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab seeks a highly motivated postdoctoral fellow to join the Application Performance team as part of NERSC’s Exascale Science Acceleration Program (NESAP). NESAP postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy Office of Science.

The Perlmutter Supercomputer is NERSC’s first production GPU-based system. Many workflows running at NERSC need to be adapted or optimized to run efficiently on GPUs. At the same time, solutions that put GPU performance in users’ hands need to be portable. In this role, as part of a multidisciplinary team composed of computational and domain scientists, you’ll develop and apply cutting-edge computer science, advanced performance analysis and software engineering to meet these challenges. In order to carry out this work, you will collaborate closely with one or more NESAP teams.

The Advanced Light Source is a U.S. Department of Energy (DOE) Office of Science national scientific user facility whose excellent scientific reputation, expert staff, and capabilities in the soft x-ray, hard x-ray, and infrared regimes attract over 1,600 academic and industrial users each year in disciplines spanning physical, chemical, materials, biological, energy, and Earth sciences. It is one of five Berkeley Lab user facilities that serve a combined 11,000 users annually. The co-location of these user facilities – including the Molecular Foundry Nanoscale Science Research Center and the NERSC scientific computing center, as well as Berkeley Lab’s outstanding programs in materials and chemical sciences, among others – offers a prime environment for collaborative science. The ALS has been a global leader in soft x-ray science for more than two decades and is currently undergoing a large-scale upgrade (ALS-U) that will endow the facility with state-of-the-art x-ray capabilities. It’s an exciting time to join our growing team!

In this exciting role, you will perform process design, simulation, scaling science, scenario modeling, and techno economic analysis. The emphasis will be on hydrogen storage materials and hydrogen end uses, gas separation technologies such as carbon capture, and methane separation, and carbon conversion. The research will involve process modeling technologies and developing indicators of viability for their deployment such as cost, technical performance, energy efficiency, critical material use, community benefits, use of waste heat, and co-benefits.

In this exciting role, you will have the opportunity to develop new genetic tools for non-model bacteria, including those from the plant rhizosphere and field soil and apply these tools to characterize microbial gene function on a massive scale. The research will focus on the use of methanotrophic bacteria in reducing methane emissions in rice fields and wetlands.  A recent example of tools developed by the team includes random barcode transposon site sequencing (RB-TnSeq; PMID 2596844), dual barcoded shotgun expression library screening (Dub-seq; PMID 30659179), and magic pools for parallel testing of genetic systems in bacteria (PMID 29359196). 

This position will have the opportunity to work on novel microbial isolates from rice fields and be responsible for the establishment of methodologies that will enable the genome engineering using RB-TnSeq to generate gene mutant libraries, sequencing, and computational analysis of mutant libraries in plant-microbe experiments in a high-throughput manner. You will perform plant-microbe bioassays, analyze microbiome sequencing data, and present your findings in conferences and peer-reviewed journals. In addition, you will have the opportunity to work with a diverse team of LBNL-based and external collaborators, including those in the ENIGMA and m-CAFEs Scientific Focus Areas (SFAs).

This opportunity involves developing and conducting research with both charged-particle and gamma-ray detector systems, with a focus on applications for basic nuclear structure research at facilities such as the Facility for Rare Isotope Beams (FRIB).  A primary project will be development of a straw-tube array for detection of charged particles to be used with a liquid hydrogen target and the Gamma-Ray Energy Tracking Array (GRETA).  In this position, you will initiate research and contribute to the ongoing programs of the group.

In this role, you will work at the Accelerator Technology & Applied Physics (ATAP) Division to primarily conduct accelerator magnet superconductor and associated materials R&D and characterization. In this role, work will be performed within the Superconducting Magnet Program (SMP) as a member of a team of physicists, engineers, technologists, and students. This postdoc will perform both metallographic microscopy and non-destructive image analysis using Machine Learning (ML) models and Python script or equivalent, as well as perform room temperature and cryogenic temperature electrical and mechanical measurements.

The Electricity Markets & Policy (EMP) Department informs public and private decision making through technical, economic, and policy analysis of energy-related topics. Staff at EMP employ a range of interdisciplinary methods and tools appropriate to the topic at hand, including primary data, economic, and statistical analyses; modeling; and survey and interview-based research. We are conducting cost-effectiveness analysis and modeling to understand the potential growth in non-CO2 GHGs and climate super pollutants.

The current initiative seeks to 1) conduct deeper techno-economic analysis of methane and other non-CO2 GHG mitigation measures and evaluate their cost-effectiveness under China-specific context, 2) develop a deep mitigation and policy constraints scenario to understand the potential and benefits for additional reductions beyond current mitigation measures, and 3) develop a roadmap in reducing methane emissions in China before 2030.

This position is in the Whole Building Systems (WBS) department of the Building Technology and Urban Systems (BTUS) division. This position will contribute to studies focused on home electrification and decarbonization. Specific activities will include assessment of low power electrification strategies and grid impacts of home electrification in both single and multifamily residential buildings. Additional work may include studies of non-energy benefits of home electrification including IAQ/Heath, comfort, equity and resiliency.

The Climate and Ecosystem Sciences Division of Berkeley Lab has an exciting opportunity for a postdoctoral scientist to participate in an international working group analyzing deep soil warming experiments across the world. In this exciting role, you will apply mechanistic and machine learning models to study observed effects of warming on soil and ecosystem carbon cycling and the mechanisms shaping the soil response, and to estimate potential soil carbon feedbacks with climate. The project encourages collaboration with a wide range of scientists, from graduate students to senior researchers, studying soil biogeochemistry under warming, how to best represent these processes in models, and how to use the models to extrapolate in space and time. Although the position is based out of Berkeley Lab, the successful candidate will also work closely with researchers at the Institute for Global Change Biology at the University of Michigan.