Lawrence Berkeley National Lab's (LBNL) Energy Storage & Distributed Resources Division has an opening for a Computer Research Scientist to join the team. In this exciting role, you will conduct research and development of optimization-based planning methodologies for power grids. These methodologies will be used to enhance the LBNL portfolio of models and tools in the area of grid planning, supported by the DOE - Office of Electricity.

Included in the Grid Integration Group of the Energy Storage and Distributed resource division, the Grid Planning and Economics team develops models and software solutions to support decisions around power systems planning, economics as well as electricity markets and policy.

Examples of successful models developed by the Grid Planning and Economics team include:
<ul class="ul1">
<li class="li1">The Security-constrained AC OPF algorithm, which received a top performer prize in Challenge 2 of the ARPA-e Grid Optimization Competition.</li>
<li class="li1">The resilient distribution expansion model, developed in partnership with the industry, which was recently made available as a prototype tool.</li>
<li class="li1">Different models for microgrid planning, covering different design aspects, such as distribution grid or multi-energy representations, included LBNL's DER-CAM tool.</li>
</ul>

The Career-Track Research Scientist is expected to play a key role in achieving the goals of the Grid Integration Group by contributing to achieving the following objectives:

<ol class="ol1">
<li class="li1">Advance the knowledge in power systems optimization applied to power grid planning.</li>
<li class="li1">Research projects and tasks in partnership with distribution utilities.</li>
<li class="li1">Develop, test new optimization techniques and approaches, to support grid planning.</li>
<li class="li1">Collaborate with the team and lead support staff in the development of robust, accurate, and scalable optimization software solutions that can be transformed into grid planning tools. </li>
<li class="li1">Contributes to the conceptualization, development and writing of successful proposals for advancing the global knowledge and understanding of various aspects of power system economics.</li>
</ol>

The position requires excellent ability to think innovatively and independently, and contribute to explore, accomplish, test and demonstrate advancements in power system planning and economics, while also being mindful of real-world implementation of grid planning methodologies and understanding their policy and regulatory contexts. 

What You Will Do:
<ul class="ul1">
<li class="li1">Develop, test, and implement optimization models applied to power system planning and economics.</li>
<li class="li1">Manage high-impact R&D projects, in partnership with utilities, in the field of advanced grid modeling and power systems optimization.</li>
<li class="li1">Implement and review model formulations and software code.</li>
<li class="li1">Analyze different contexts of power grid planning/operation and develop consistent research plans, including adequate optimization model requirements, formulation, and software architecture solutions for the implementation.</li>
<li class="li1">Contribute to the dissemination of the Group's scientific and engineering advances through publications in peer-reviewed journals and other relevant technical media, presentations at conferences and via webinars, and through development and participation in training programs.</li>
<li class="li1">Perform the detailed analysis of data from these tests or simulations and their dissemination and publication.</li>
<li class="li1">Learn and keep-up with advances in technology, theory, and software relevant planning and operation of power grids.</li>
<li class="li1">Interface with internal collaborators, research and technical staff, leadership, and administrative staff of the Energy Technologies Area, and funding sponsors.</li>
<li class="li1">Assist in identifying new funding opportunities aligned with the strategic interests of the Grid Integration Group and prepare proposals in response. </li>
<li class="li1">Lead, and mentor postdoctoral fellows, technical staff, graduate students and other group members as necessary. </li>
<li class="li1">Attend group meetings, and present status reports and scientific findings at group meetings, conferences, and workshops.</li>
<li class="li1">Keep an accurate and detailed record of laboratory and analytical work.</li>
</ul>

What is Required:
<ul class="ul1">
<li class="li1">Advanced degree in Electrical Engineering, Power Systems, Operations Research or related field.</li>
<li class="li1">Demonstrated experience in power systems modeling, both in simulation and optimization environment.</li>
<li class="li1">Demonstrated experience in developing/demonstrating grid planning tools in collaboration with the industry.</li>
<li class="li1">A good understanding of the power systems' economic contexts, including distribution operator decision-making processes in different regulatory environments.</li>
<li class="li1">Demonstrated experience designing high performance optimization algorithms and implementations </li>
<li class="li1">Solid background in operations research applied to power systems.</li>
<li class="li1">Solid experience developing optimization models in Python and/or Julia.</li>
<li class="li1">Familiarity with all three relevant fields of power engineering science: (1) optimal power flow, (2) grid planning and design; (3) power systems economics.</li>
<li class="li1">Demonstrated ability to conduct and perform collaborative research and effectively interact with a broad range of colleagues with tact and diplomacy.</li>
<li class="li1">Demonstrated ability to independently carry out creative research with a proven record of publications and achievement.</li>
<li class="li1">Effective problem-solving and decision-making skills, with the ability to troubleshoot experimental processes and/or simulations, and provide analysis and offer solutions.</li>
<li class="li1">Excellent organizational, analytical, and record-keeping skills.</li>
<li class="li1">Demonstrated ability to accurately and eloquently represent and promote scientific projects to audiences of diverse technical backgrounds.</li>
<li class="li1">Highly effective interpersonal skills, with experience in establishing effective collaborations and interacting with members of the scientific and electrical power-related institutional agencies, and funding research sponsor communities.</li>
<li class="li1">Excellent communication skills both verbal and writing, with demonstrated experience preparing funding proposals, writing technical reports, making presentations, interacting with internal and external clients.</li>
<li class="li1">Excellent time management skills and the ability to prioritize competing deadlines.</li>
</ul>

Desired Qualifications:
<ul class="ul1">
<li class="li1">Postdoctoral experience.</li>
<li class="li1">PhD in Electrical Engineering, Power Systems, Operations Research or related field.</li>
<li class="li1">Experience leading R&D projects in the area of grid planning and/or power system economics.</li>
<li class="li1">Experience developing and implementing power system models.</li>
</ul>

Please apply by May 2, 2025 with the following application materials:
<ul class="ul1">
<li class="li1">Curriculum Vitae.</li>
<li class="li1">Publication list</li>
<li class="li1">Names and contact information for at least three individuals who can write letters of reference </li>
</ul>

Notes:
<ul class="ul1">
<li class="li1">This is a full time, 1 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.</li>
<li class="li1">This full salary range of this position is between $92,701 to $222,474 per year and is expected to pay between a targeted range of $140,904 to $155,736 per year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.</li>
<li class="li1">This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.</li>
<li class="li1">This position is eligible for a flexible work mode, with onsite or hybrid work being the preferred modes. Hybrid work is a combination of teleworking and performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs.</li>
</ul>

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov

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 and Affirmative Action Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, inclusion, 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, or protected veteran status.

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

In this exciting role, you will work in Berkeley Lab’s (LBNL) PHAX group in the Scientific Data Division. The PHAX group is a leader in computational physics research and software development across High-Energy and Nuclear Physics (HEP/NP) experiments. You will play a leading role in the development, adaptation, and deployment of Artificial Intelligence and Machine Learning (AI/ML) tools across HEP/NP experiments.
What You Will Do:
Collaborate with computer scientists, physicists, and mathematicians at LBNL on developing data science methods and software for HEP/NP.
Contribute to one or more of the group's ongoing projects, including developing methods for uncertainty-aware learning and building foundation models for HEP/NP.
Contribute to the research and development of AI/ML tools for the next generation of HEP/NP experiments.
Mentor postdoctoral researchers and graduate students working on related projects.
Stay abreast of new and emerging AI/ML trends, through R&D collaborations, literature, workshops, and conferences; translate these into new directions for HEP/NP.
Demonstrate excellent oral and written communication skills.
Work effectively as part of a cross-disciplinary team.
Develop solutions to complex problems that require regular use of ingenuity and creativity.
Independently plan and complete small projects and contribute to large projects choosing appropriate methods.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Additional Responsibilities as needed:
Identify and contribute to scientific projects that require significant computing and develop new workflows to assist these projects.
Identify and propose new research projects aligned with the group's priorities. Contribute to relevant research proposals.
Assist in the coordination of these efforts within LBNL.
What is Required:
Ph.D. in physics, computer science, statistics, or a related field; or equivalent combination of education and experience.
Experience with scientific AI/ML development.
Expertise with at least one standard AI/ML tool like TensorFlow, PyTorch, or JAX.
Expertise in running AI/ML tools at scale on distributed computing resources.
Experience with anomaly detection and data analysis in high dimensional spaces in at least one HEP/NP experiment.
Experience with generative models for HEP/NP simulation.
Experience with foundation models for point cloud data.
Ability to communicate effectively.
Demonstrated ability to develop open-source AI/ML software tools.
Demonstrated ability to prepare research results for publication and presentation at seminars and scientific meetings.
Demonstrated ability to work effectively as part of a cross-disciplinary team.
Ability to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrated ability to network with senior internal and external personnel in own area of expertise.
Desired Qualifications:
Experience with common HEP/NP software (Geant4, ROOT, etc).
Experience with high-performance computing systems and software optimization.
For full consideration, please apply by February 14, 2025.
Notes:
This is a full time, 2 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
The full salary range of this position is between $92,701 to $222,474 per year and is expected to pay between a targeted range of $123,605 to $173,027 per year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
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.
Work may be performed on-site, or hybrid. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
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 and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse 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, or protected veteran status.

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The Opportunity
We’re looking for a driven research scientist or research engineer with a strong background in embodied machine learning and a “make it happen” mentality. The ideal candidate is able to operate independently when needed, but works well as part of a larger integrated group at the cutting edge of state-of-the-art robotics and machine learning. Experience with robots or other embodied systems (such as autonomous vehicles) is strongly preferred, particularly in the manipulation domain.
If our mission of revolutionizing robotics through machine learning resonates with you, get in touch and let’s talk about how we can create the next generation of AI-powered capable robots together.
Responsibilities Work as part of a dynamic, closely-knit research team building general-purpose robot foundation models.
Implement, extend, and create state-of-the-art methods for robot behavior learning from a mixture of interactive embodied data and online data sources such as text, images, and video.
Implement high-performance machine-learning pipelines and optimize data and learning stacks for scalability, efficiency, and performance.
Be a key member of the team and play a critical role in rapid progress measured by both the development of internal capabilities and high-impact external publication.
Collaborate with internal research scientists and our partner labs at top academic research universities including MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to drive pioneering research at scale.
Qualifications 4+ years of relevant industry experience or a PhD.
Experience training large models and deploying them on embodied systems.
Extensive practical experience with Machine Learning using a major framework such as PyTorch or TensorFlow. Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management is also useful.
Strong understanding of the state-of-the-art in behavior learning, language, and/or computer vision.
Some familiarity with robots and the challenges inherent in conducting research on physical hardware platforms.
Strong proficiency in Python.
An ability to move fast and switch between modes of rapid prototyping and robust implementation as required.
A strong track record of impact, either via first author research publications at top-tier machine learning or robotics conferences, or via meaningful contributions to successful industry initiatives.
The pay range for this position at commencement of employment is expected to be between $165,760 and $238,280/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure.

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Berkeley Lab’s (LBNL) Molecular Biophysics and Integrated Bioimaging Division (MBIB) has an opening for a Research Scientist to join the Berkeley Synchrotron Infrared Structural Biology (BSISB) imaging program.
BSISB is a national infrared imaging program that develops and offers specialized analytical capabilities that make use of the high-intensity (bright) synchrotron radiation produced by the Advanced Light Source (ALS) to study organisms and biomaterials at spatial dimensions in the range of micrometers to nanometers.
In this exciting role, you will be a hands-on and creative experimental researcher working with a multi-disciplinary team to apply cutting-edge analytical, engineering, and computational concepts in the development and optimization of an integrated autonomous chemical imaging system. You will be expected to develop new expertise and gain recognition within the chemical analysis and imaging community.
This position has an anticipated start date of March 31, 2025.
What You Will Do:    Lead innovative technology research and development in the field of biomaterials and surface enhanced infra-red absorption (SEIRA) spectroscopy.
Develop and advance near-field probes, which include research of design and fabricating advanced probes and setting up customized scanning near-field optical microscopy (SNOM).
Advance SNOM techniques and their applications on biomaterial nanoimaging.
Design, fabricate, and optimize nanoantenna for SEIRA.
Design, fabricate, and optimize nanostructure for surface phonon polariton.
Perform computational and experimental observations of surface phonon polariton.
Design and carry out complex work plans for multiple tasks, lead data collection and analysis efforts, use findings to improve system performance, and suggest follow-on work.
Develop resolutions to complex technical problems.
Apply computer analysis and simulation programs to interpret experimental data.
Carry out collaborative research with fellow scientists, research associates, postdoctoral fellows, and students, and interact with internal and external personnel.
Provide technical support, training, and mentoring to users including students, postdocs, professors, scientists.
Contribute to proposal and manuscript writing, speaking at scientific meetings and program reviews.
What is Required:    A Ph.D. (or equivalent knowledge/training) in Experimental Physics, Nanophononics, Material Science, Engineering, or a closely related field and a minimum of 5 years of relevant experience or an equivalent combination of education and experience.
Extensive experience in scanning near-field optical microscopy instrumentation design, fabrication, and applications.
Experience with optics modeling and applications to scanning near-field optics microscopy system design.
Experience with cleanroom nanofabrication tools including Focused Ion Beam lithography, Evaporator, Scanning Electron Beam Microscope, Atomic layer deposition, etc.
Experience with complex spectroscopic data collection, analysis, and visualization.
Strong analytical, organizational, and record keeping skills including experience recording experiment results and analyzing data.
Excellent oral and written communication skills including experience presenting findings at group meetings, conferences, and publishing results.
Demonstrated interpersonal skills including experience collaborating with diverse teams of scientific, operations, and technical staff.
Desired Qualifications:    A Ph.D. in Experimental Physics, Nanophononics, Material Science, Engineering, or a closely related field.
Expertise in innovative instrumentation and experimentation including diverse technologies such as nanoimaging, nanofabrication, and spectroscopic data analysis.
Demonstrated expertise in the field of elemental, organic molecules and isotopic analysis, sample preparation, and morphological characterization.
Notes:     For full consideration, please apply with a curriculum vitae (CV) or resume and cover letter describing your interest in the position by January 28, 2025.
This is a full time, exempt (monthly paid) from overtime pay, 18 month, Career-Track Term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
This position is expected to pay $91,484 - $146,375 per year for job code S13.1. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary for this position will be commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group.
This position will be performed on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA 94760.
Learn About Us:
Berkeley Lab (LBNL) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 16 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science.
Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments.
Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse 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, or protected veteran status.

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<h3>Job Description</h3><div>Job Description<div>Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA. We are currently looking for a full-time research scientist for the AI Team. As an AI Research Scientist, you will have the opportunity to work with the AI Team on cutting-edge generative AI technologies for improving the content/video descriptors as well as our software offerings for generative AI-based content. The scope of this work entails (but is not limited to), <ul><li>Survey: Exploring generative AI technologies targeting multimedia content improvement and/or generation. </li><li>Research (Proof of Concept): </li><ul><li>Design and development of advanced generative techniques towards content improvement, like., A/V quality, resolution, etc. as well as video description, understanding, and summarization.</li><li>Design and development of advanced generative techniques for user-guided content generation. For e.x. Text to Image, Text to Video, etc. </li></ul><li>Development (Engineering)</li><li>Integrating the developed model into the Eluvio ML stack. </li></ul>You will also be able to work on unique multimodal data sets including, video, audio, speech, text, image, 3D, etc., and a very specific product line unique to Eluvio’s AI stack offering. This work will directly impact the product. We highly encourage publishing our research in top conferences.Requirements<ul><li>Has Masters in a relevant field, Ph.D. preferred. </li><li>Has research experience with modern generative technologies like Diffusion, GANs, etc. for video restoration and/or text-to-image (text-to-video) generation.</li><li>Has working knowledge of multimodal learning (CLIP, BLIP, etc.) and a good understanding of advanced learning settings like, self-supervised learning, semi-supervised, and transductive learning.</li><li>Has prior publications in top-tier conferences like., NeuRIPS, ICML, ICLR, CVPR, KDD, RecSys, etc and/or journals.</li><li>Strong experience with Python-based eco systems - Pytorch, Tensorflow, JAX, etc.</li></ul>Nice to Have<ul><li>Working knowledge of java-script, Rust, etc.</li><li>Full-stack application experience operating and using video tools such as ffmpeg.</li></ul>BenefitsMedical, dental, 401K</div></div>

Lawrence Berkeley National Lab's (LBNL) Accelerator Technology & Applied Physics (ATAP) Division has an opening for a Research Scientist to work with the Superconducting Magnet Program (SMP).

The research in SMP is focused on the development of superconducting magnets for High Energy Physics (HEP), Fusion Energy Science (FES), Nuclear Science (NS) and medical applications. Also, the SMP is an integral part of DOE's national Magnet Development Program (MDP), whose goal is to advance superconducting accelerator magnet technology for future colliders.

In this role, you will perform work within ATAP's SMP program and focus on the design, fabrication and testing of superconducting magnets. The primary role will be designing and developing the next generation of superconducting magnets for nuclear science in high performance superconducting electron cyclotron resonance sources and for a high rigidity spectrometer project. Working collaboratively with ATAP scientists, engineers, postdoctoral scholars, technicians and students, document and communicate results of work in peer-reviewed journals, oral presentations, and participate in meetings, conferences and reviews.

What You Will Do:

Support the SMP and other research efforts at LBNL by working to increase the performance of advanced superconducting magnets, implementing both Low (LTS) and High Temperature Superconductors HTS), for high-field applications, including both High Energy Physics (HEP), Fusion Energy Science (FES), Nuclear Science (NS) and medical applications.
Provide technical expertise and solutions in the magnet design, analysis, fabrication, and test area to support the magnet programs and other projects.
Provide expertise on conceptual and engineering design and fabrication of magnets components as well as on modeling techniques and guide.
Work independently, conducting independent research, towards specific goals of the SMP, and the US MDP.
Participate in research efforts to improve the performance of advanced superconducting magnets in close collaboration with universities, national laboratories, and industry partners.
Generate fundamental understanding of performance limiting factors in magnet technology and suggest methods to address these limitations.
Document and communicate the research in reports and oral presentations, including participation in conferences, and publication in refereed journals.
Mentor and supervise interns, students, and Postdocs.
Adhere to Environment, Health and Safety (EH&S) policies and attend training classes as required and proactively promote and participate in our safety culture.
Adhere and promote IDEA (inclusion, diversity, equity, and accountability).
What is Required:    Ph.D. and or equivalent experience in Mathematics, Engineering, or Physics or the equivalent combination of education and experience. Less than 5 years of relevant experience.
Minimum of 2 years of work experience in two or more of the following areas:
Application of advanced modeling techniques applied to combined mechanical, magnetic, and thermal systems.
Application of FEA to superconducting magnet systems.
Experience with the design and fabrication of magnet systems.
Published record of research in magnet design and analysis.
Demonstrated publication record and demonstration of proficient written and oral presentation of scientific results.
Knowledge of low and high temperature superconductors
Knowledge of finite element simulations of superconductor magnets
Knowledge of experimental and data analysis experience
Knowledge of magnetics, structural mechanics, and thermal/cryogenic principles
Knowledge of cryogenic systems and cryogenics.
Ability to work well in a multidisciplinary team environment.
Excellent written and verbal communication skills and ability to interact effectively with all members of SMP including other scientists, postdocs, students, and technical support staff.
Desired Qualifications:    Knowledge of 2D/3D CAD modeling and drawing creation
Knowledge of machining and fabrication methods
Notes:    This is a full time 2 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
The full salary range of this position is between $7,624 to $18,297 per month and is expected to pay between a targeted range of $10,165 to $12,198 per month depending upon the candidate's skills, knowledge, and abilities, including education, certifications, and years of experience plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

Want to learn more about working at Berkeley Lab? Please visit:   careers.lbl.gov

Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. In support of our rich community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Lawrence Berkeley National Lab's (LBNL) Nuclear Science (NSD) Division has an opening for a Research Scientist to join the team and work with the Electron Cyclotron Resonance (ECR) Ion Source Group.
In this role, you will collaborate to design, construct, and test the next generation of superconducting ECR ion sources (beyond VENUS) in the Nuclear Science Division. Areas of responsibility include planning and conducting research in the field of ion sources and accelerator physics. This work also involves a collaborative effort with the accelerator group at the 88-Inch Cyclotron to develop, test, and operate existing high-charge-state ECR ion sources. The scientist will apply broad and in-depth technical knowledge and expertise in accelerator physics to research ECR technology to meet the programmatic needs of the 88-Inch Cyclotron.
What You Will Do:
Participate in a collaborative effort to design, construct, and test the next generation of superconducting Electron Cyclotron Resonance (ECR) ion source (beyond VENUS).
Apply broad and in-depth technical knowledge and expertise in the field of ECR ion sources towards the conceptualization, design, planning, implementation, and completion of novel complex ion source experiments.
Plan and conduct research to develop the 28 GHz superconducting ECR ion source VENUS as the prototype driver ion source for FRIB.
Carry out computer simulations for ion source extraction, 3D magnetic field configurations, and high-intensity beam transport.
Work with the accelerator group at the 88-Inch Cyclotron to develop, test, and operate existing high-charge-state ECR ion sources.
Actively support ion source and cyclotron operations, providing technical solutions to ion source operations problems as they arise.
Independently solve complex problems using ingenuity, creativity, and advanced scientific principles.
Interact with a diverse range of scientists interested in the science, techniques, and opportunities arising from the work.
Present research and publish papers and reports, and may act as Principal Investigator on new proposals and projects.
May be a work lead for technical support staff. May be responsible for laboratory or facility operations with demonstrated experience.

Additional Responsibilities as needed:
Plan and conduct research to develop machine learning techniques for the tuning and performance optimization of ECR ion sources.
Contribute to VENUS's overall software development, including liaison with engineers and physicists, participation in software working groups, algorithm development, data storage, and analysis techniques.
Develop a stripping solution to extract negative ion beams from the 88-Inch Cyclotron.
Supervise technical support staff and mentor postdocs and students.

What is Required:
PhD or equivalent experience in experimental plasma physics, nuclear physics, accelerator physics, or atomic physics.
Up to five years of relevant professional experience beyond the customary highest degree appropriate to the candidate's discipline in accelerator science, nuclear physics, or related field.
Relevant professional experience in accelerator physics research, nuclear engineering, experimental nuclear or particle physics.
Published record of excellence and a strong record of research accomplishments in accelerator physics, nuclear science, or related research.
Detailed knowledge in at least one of these areas: experimental plasma physics, accelerator physics, or atomic physics.
Experience designing, fabricating, and testing high-charge state ion sources.
Demonstrated ability to independently solve complex problems using ingenuity, creativity, and advanced scientific principles.
Effective communication (verbal and written) and presentation skills.
Demonstrated ability to act as a work lead for technical support staff.
Programming experience with Labview, IDL, Mathlab, python, C, C++, or other programming languages.

Desired Qualifications:
Demonstrated ability to write proposals, obtain funding, and perform corresponding independent research.

Requested Application Materials:
Curriculum Vitae and publication list.
Statement of research experience and interests (3 pages maximum, not including references).
Statement describing your contributions to diversity, equity and inclusion, as well as your participation in outreach or community engagement activities (1 page maximum).

For full consideration, please apply by midnight on July 31st, 2024, but the position will remain open until filled. For inquiries, please contact jmgates@lbl.gov
Notes:
This is a full-time career appointment, exempt (monthly paid) from overtime pay.
This position is expected to pay $107,139.00- $171,442.00, which fits within the full salary range of $107,139.00- $257,151.00 for the S13.2. Salary for this position will be commensurate with the final candidate's qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. A conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

Want to learn more about working at Berkeley Lab? Please visit:   careers.lbl.gov
Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. In support of our rich community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Job Title

Senior Research Scientist I

Shift Type

Education

Doctorate

Location

Prevention Research Center - Berkeley, CA 94704 US (Primary)
Remote (Virtual) - US - US

Career Level

Experienced (Non-Manager)

Category

Research

Job Type

Full-time and Part-time

Travel

PIRE has a significant national presence in the area of applied science, with funded research projects at its centers on prevention, treatment, and policy research. PIRE scientists and practitioners continually focus on the design and implementation of complex program evaluation strategies and the conduct of research related to health and social issues, and criminal justice. PIRE practitioners and scientists provide training and technical assistance in many health-related areas to states and communities that are attempting to improve public health. For more information about PIRE go to www.PIRE.org .

Position Summary

Prevention Research Center (PRC; prev.org) is based in Berkeley, CA, and also has offsite workers in various parts of the USA. Founded as a National Alcohol Research Center focusing on environmental approaches to prevention of alcohol-related problems and continuously funded by the National Institute on Alcohol Abuse and Alcoholism, it is one of five centers of the Pacific Institute for Research and Evaluation, which is celebrating 50 years of inquiry into the public health and well-being of varied communities. PRC and PIRE more generally have a significant national presence in the area of applied science, with funded research projects on prevention, treatment, and policy research. PRC scientists and practitioners continually focus on the design and implementation of complex program evaluation strategies and the conduct of research related to health and social issues. PIRE practitioners and scientists provide training and technical assistance in many health-related areas to states and communities that are attempting to improve public health. For more information about PRC, please visit prev.org and for more information about PIRE please see pire.org .

PRC, along with its parent organization Pacific Institute for Research and Evaluation (PIRE), is seeking  senior research scientists and evaluators  to join our team. This opportunity is open to senior career investigators and evaluators who wish to continue their research program while enhancing PIRE's growing portfolio, including research in areas such as: health, mental health, and substance use; child welfare; education; criminal justice; public policy; state, county, and community partnerships and program evaluation.

PIRE is a soft-money research organization. This independence and freedom come with the responsibility of seeking and securing one's own funding, in collaboration with others. As part of your CV and introduction letter, please share a brief description of your research interests and current or potential funders.

Successful applicants will be expected to pursue their own research while collaborating with other PIRE scientists in areas of mutual interest. Current or recent funding from NIH, SAMHSA, and/or other federal or state agencies is desired but not required. PIRE is prepared to assist researchers who submit applications with limited startup funding, mentorship, administrative assistance, and collaborative scientific support. Employment is contingent upon successful awards.

PIRE is an independent, nonprofit organization merging scientific knowledge and proven practice to create solutions that improve the health, safety and well-being of individuals, communities, tribes, and nations around the world. For full-time researchers and evaluators, we have excellent health coverage, a retirement plan and flexible work arrangements available to support our nationally recognized institution of independent scientists.

Benefits Overview:

3.5-7 weeks of accrued PTO during the first year
Company provided Retirement Plan
Company provided Life and Accidental Death and Dismemberment of $100k
Company provided Short- and Long-Term Disability
Medical, Dental and Vision coverage
We invite a CV and letter of introduction from senior-level investigators (scientists or evaluators) who have:    Strong skills in project management, research collaboration, and proposal development.
A track record of relevant publications; and
Experience writing grant and/or proposal applications for NIH, SAMHSA and/or other agencies that fund scientific research.
PIRE has a strong commitment to research dissemination and moving science to practice and practice to science. The implementation of our work is demonstrated in peer-reviewed journal articles, reports for government and lay audiences and professional presentations. Documentation of PIRE's capabilities and work in these areas can be found on PIRE's website (https://www.pire.org ).

We look forward to talking with you about your interests and how your research can grow with PRC and PIRE.

Job Requirements   An advanced degree (e.g., M.D., Ph.D., J.D.) or equivalent experience
At least ten years experience in a relevant professional research environment.
Demonstrated ability to independently develop a research program.
An established record of obtaining peer-reviewed funding alone or in collaboration with others.
The ability to work for an US employer.

Some Primary Duties and Responsibilities

Exemption Type

Exempt

PIRE is an EEO/Affirmative Action Employer

PIRE is a diverse community devoted to the promotion and acceptance of all people regardless of race, color, national origin, religion, sexual orientation, gender identity, age, gender or physical ability or veteran status. PIRE is committed to employ, and advance in employment, individuals with disabilities and protected veterans, and to treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status.

PIRE's EEO/Affirmative Action Policy.

Americans with Disabilities Act (ADA)

PIRE will provide reasonable accommodations with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact Human Resources by email at: hr@pire.org

"EEO is the Law" Poster"

"EEO is the Law" Poster Supplement

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