Lawrence Berkeley National Laboratory

The Lawrence Berkeley National Laboratory (LBL.gov) website provides access to the laboratory’s research and development projects, staff, and resources. Located in Berkeley, California, the lab focuses on scientific research in the areas of energy, environment, health, and national security. The website provides news, events, job postings and career information, resources for students and educators, and access to the lab’s publications. Visitors can also explore the lab’s research programs, find out about their facilities, and learn more about the lab’s history and mission. Through the website, the lab communicates its commitment to sustainability and to collaboration with other organizations and institutions to further scientific progress.

Berkeley Lab researches the development and implementation of GEB modeling tools. This group conducts unbiased research, analysis, and technical assistance on energy-efficiency markets and policies.lbl.govBerkeley Lab’s research related to energy-efficient appliance standards has saved consumers millions of dollars in the U.S. and worldwide.

newscenter.lbl.govFounded in 1931 on the belief that the biggest scientific challenges are best addressed by teams, Lawrence Berkeley National Laboratory and its scientists have been recognized with 14 Nobel Prizes.

We are sorry that we cannot host you at this time, and we hope we can soon reschedule your visit. Berkeley Lab is now a Virtual Public Tour.visits.lbl.govLawrence Berkeley National Laboratory has cancelled all in-person tours until further notice due to an abundance of caution surrounding the spread of COVID-19.

  • Encrypted
    Site is Encrypted

  • Country
    Hosted in United States

  • Latitude\Longitude
    37.751 / -97.822    Google Map

  • Traffic rank
    #3,269 Site Rank

  • Site Owner information
    Whois info

  • Established
    August 26, 1931

  • Motto
    Bringing science solutions to the world

  • Research type
    Scientific research and energy technologies

  • Budget
    US$,1.1 billion (2019)

  • Director
    Michael Witherell

  • Staff
    3,816

  • Students
    800

  • Address
    1 Cyclotron Road

Traffic rank
#3,269
Site age
Location
United States
Popular Questions for Lawrence Berkeley National Laboratory
Newest job postings for Lawrence Berkeley National Laboratory
via Physics World Jobs posted_at: 4 days agoschedule_type: Full-time
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Accelerator Technology and Applied Physics (ATAP, https://atap.lbl.gov/) Division has an opening for a Deputy of Applications and Projects, at the Physicist Staff Scientist or Physicist Senior Scientist level, to join the BELLA Center team. In this role, you will be responsible for leading and developing applications of emerging... advanced laser-based accelerator technologies within Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Accelerator Technology and Applied Physics (ATAP, https://atap.lbl.gov/) Division has an opening for a Deputy of Applications and Projects, at the Physicist Staff Scientist or Physicist Senior Scientist level, to join the BELLA Center team.

In this role, you will be responsible for leading and developing applications of emerging... advanced laser-based accelerator technologies within the Berkeley Lab Laser Accelerator (BELLA) Center.This includes the development and integration of high-average power, ultra-short-pulse laser technology and plasma-based accelerator systems. As high-repetition rate (kHz) lasers with sufficient intensity to drive laser-plasma accelerators emerge, new controls, instrumentation, diagnostics, and methods must be developed to apply these lasers to advanced accelerator systems. Compact high-average power accelerator systems will enable applications using compact sources of radiation (from THz to gamma rays) and particles (electrons, positrons, protons, ions, and muons) for science, security, and industry. This position will lead and coordinate the current projects on the application of laser-plasma accelerators as well as develop future project opportunities.

The Deputy of Applications and Projects will serve as a member of the leadership team of the BELLA Center, working closely with ATAP Division management. You will build collaborative relationships with other Divisional and Laboratory programs, as well as collaborations outside of LBNL, both domestically and internationally. This position will lead a team of scientists, engineers, and technicians. Project work is a key component in this position, and the successful candidate will lead current projects and also collaborations that underlie future project opportunities.

This position will work collaboratively with BELLA Center and ATAP scientists, engineers, postdocs, technicians, and students, document and communicate results of work in peer-reviewed journal publications and oral presentations, and participate in meetings, conferences, and reviews.

What You Will Do:
• Provide leadership for BELLA Center applications and projects, including the involved personnel (scientists, postdoctoral fellows, professional staff, affiliates, and students);
• Develop new initiatives advancing a long-term research vision of advanced accelerators and a strategic plan aligned with DOE and national goals, in collaboration with Division and Laboratory leadership;
• Play a leadership role in planning, managing and performing forefront investigations in the development and application of laser-driven plasma accelerators;
• Foster strong relationships with partner divisions, laboratories and institutions, and effectively generate and manage project roles;
• Address management and resource challenges of a complex program;
• Ensure operational effectiveness and compliance of the program, working with Division staff;
• Maintain a safe working environment in the program, engaging staff and ensuring the proper safety processes and disposition of waste materials;
• Actively support the Lab’s commitment to stewardship and IDEA (inclusion, diversity, equity, and accountability) by following best practices; engaging staff at all levels; and through recruitment and promotion;
• Participate strongly in community planning and review activities;
• Disseminate personal and program experimental and research results via publications in refereed journals and presentations;
• Exercise independent judgment to solve complex problems using ingenuity, creativity, and scientific principles;
• Participate in BELLA Center and Divisional planning, and develop relationships and interact with staff in the Division, Laboratory and externally.

What is Required:
• Ph.D. in Experimental Physics or equivalent;
• Strong record of research accomplishments, as evidenced by scholarly publications, development of facilities, and funded research grants;
• Experience and demonstrated competence in the management of scientific projects and collaborative science with multidisciplinary teams;
• Recognized as an expert in the areas of advanced accelerators, short-pulse laser technology, control systems, and instrumentation;
• Knowledge of accelerator physics and awareness of the challenges of accelerator technology and the needs of users of accelerators;
• Demonstrated ability to provide technical direction and effective leadership to collaborations among a diverse group of scientists, engineers, and technical personnel;
• Successful track record of developing initiatives and programs, obtaining funding to support staff and the ability to develop and maintain an independent research program;
• Effective organizational, interpersonal and communication skills;
• Demonstrated ability to interact with a diverse group at management level, both internally and externally;
• Demonstrated ability to work independently with extremely high levels of technical knowledge, ingenuity, and creativity;
• Demonstrated ability to work and manage in a research group environment and prepare research results for publication and presentation at seminars and scientific meetings.

What is Required Senior Scientist:
• Recognized nationally and internationally as an authority and leader in one or more scientific or engineering areas who have made major contributions to the Laboratory and the broader scientific/engineering community through their leadership and creativity;
• Provides guidance to professionals in the same field and collaborates with professionals in other fields.

Salary:

At the Staff Scientist level, this position is expected to pay $13,446-$18,824. Salary for this position will be commensurate with the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, 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.

At the Senior Scientist level, this position is expected to pay $16,257-$22,760. Salary for this position will be commensurate with the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, 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.

Notes:
• This is a full-time career appointment, exempt (monthly paid) from overtime pay;
• This position will be hired at the level commensurate with qualifications and years of experience at the Staff Scientist or Senior Scientist level;
• 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.

How To Apply

Apply directly online at http://50.73.55.13/counter.php?id=253146 and follow the on-line instructions to complete the application process.

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit https://covid.lbl.gov/ for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) 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.

Equal Opportunity and IDEA Information Links:

Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4
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via Postdoc.com schedule_type: Full-time
Computational Mathematics Postdoctoral Scholar - 97729 Division: AM-Applied Mathematics and Computational Research ... Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr) has an opening for a Computational Mathematics Postdoctoral Scholar to join the team. The Scalable Solvers Group (SSG) has a Computational Mathematics Postdoctoral Scholar opening Computational Mathematics Postdoctoral Scholar - 97729
Division: AM-Applied Mathematics and Computational Research
...
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr) has an opening for a Computational Mathematics Postdoctoral Scholar to join the team.

The Scalable Solvers Group (SSG) has a Computational Mathematics Postdoctoral Scholar opening in the area of numerical methods for solving large-scale eigenvalue problems arising from nuclear structure calculations. The SSG focuses mainly on developing scalable numerical algorithms and high performance implementations to enable scientific discovery through advanced computing. The postdoc will participate in research activities related to the development of new algorithms and high performance implementations that can run efficiently on DOE leadership class computers such as the NERSC Perlmutter system.

What You Will Do:
• Develop efficient algorithms for solving large-scale eigenvalue problems arising from nuclear structure calculations.
• Develop machine learning techniques to refine eigenvector approximation.
• Implement algorithms in the MFDn nuclear structure calculation software package using multiple programming models (MPI/OpenMP/OpenACC, CUDA, Kokkos etc.).
• Optimize the performance of the eigensolver by reducing communication overhead, improving load balancing and data locality.

Additional Responsibilities as needed:
• Develop efficient algorithms for data reduction and analytics.
• Analyze the algorithmic complexity and parallel scalability of new computational approaches.
• Interact with physical scientists to deploy algorithms in application software.

What is Required:
• Requires a Phd in Mathematics, Computer Science, Physical sciences (physics, chemistry and materials science), Computational Science or Engineering within the last 3 years, with a strong background in numerical methods development and high performance computing.
• Knowledge of numerical linear algebra and iterative methods for solving large-scale eigenvalue problems.
• Knowledge of sparse matrix methods.
• The ability to program proficiently in a high-level programming language, such as C++/C/FORTRAN, and should have experience in parallel computing and be able to use MPI/OpenMP/OpenACC.
• Ability to communicate effectively.
• Demonstrated ability to prepare research results for publication and presentation at seminars and scientific meetings.

Desired Qualifications:
• Knowledge of performance optimization for scientific software.
• Familiar with quantum many-body eigenvalue problems.
• Knowledge and experience with machine learning techniques is a plus.
• The ability to program on GPUs using CUDA.

Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/

The monthly salary range for this position is $6,431-$8,642 and is expected to start at $7,843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.

Notes:
• This is a full-time 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• 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.

How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=250471 and follow the on-line instructions to complete the application process.

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit https://covid.lbl.gov/ for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) 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.

Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4
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via Jooble posted_at: 13 days agoschedule_type: Full-time
Lawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Data Science Post Baccalaureate Fellow to join an interdisciplinary team to work in geospatial analysis and computational healthcare. The combined expertise and facilities of the Lawrence Berkeley National Laboratory and the collaboration with the Department of Veterans Affairs... offer a unique opportunity to accelerate the development Lawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Data Science Post Baccalaureate Fellow to join an interdisciplinary team to work in geospatial analysis and computational healthcare.

The combined expertise and facilities of the Lawrence Berkeley National Laboratory and the collaboration with the Department of Veterans Affairs... offer a unique opportunity to accelerate the development of predictive models of various health outcomes using vast amounts of heterogeneous data. You will work collaboratively with scientists at the Lab to become familiar with research concepts and procedures that contribute to the development of world-class research in healthcare, machine learning and data science with a visible impact on the community.

What You Will Do:

Learn from and collaborate with research personnel at LBNL.

Become familiar with concepts and procedures including high performance computing, machine learning methods, geospatial analysis, epidemiological studies, Geographic Information System (GIS).

Prepare reports, manuscripts and other documentation as needed for publication and/or for presentation at seminars and scientific conferences.

What is Required:

Strong knowledge of Python, Jupyter Notebooks, and Github.

Strong knowledge of data science and machine learning methods.

Strong knowledge of high-performance computing.

Strong knowledge of geospatial analysis and GIS.

Ability to think clearly and work in a focused and analytical manner.

Exceptional communication skills in written and oral forms.

Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/

Notes:

This is a full time, 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.

This full salary range of this position is between $19.50 to $31.22 per hour and is expected to pay between a targeted range of $22.00 to $28.29 per hour depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.

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.

This position has the option of working remotely. Work must be performed within the United States.

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

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.

Equal Opportunity and IDEA Information Links:

Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4
Show more details...
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