Computational Cosmology Postdoctoral Scholar
Lawrence Berkeley National Laboratory
Berkeley, CA 94720
DescriptionComputational Cosmology Postdoctoral Scholar - 97204
Division: DD-Data Science

Lawrence Berkeley National Lab’s (LBNL, Data Science Division has an opening for a Computational Cosmology Postdoctoral Scholar to join the team.

Applications are invited for the postdoctoral position in Berkeley Lab's Computational Cosmology Center (C3), working on topics related to cosmological simulations and inference of cosmological parameters using simulations and observational data.

Interact with researchers from UC Berkeley departments are encouraged, especially involving Berkeley Center for Cosmological Physics (BCCP) and Berkeley Institute for Data Science (BIDS). Berkeley Lab is a full member of several cosmology surveys, including DESI, LSST, CMB-S4 as well as additional CMB experiments. Postdoctoral researcher will have access to allocations on some of the world-leading supercomputers including Perlmutter (Berkeley/NERSC), Polaris (Argonne/ALCF) and Summit (Oakridge/OLCF).

What You Will Do:
• Statistical and machine learning methods for inferring cosmology from DESI and future sky surveys.
• Surrogate modeling of expensive cosmological simulations and related research directions.
• Generate your own research ideas.
• Become an essential member of a diverse team of cosmologists, applied mathematicians, and computer scientists, working together on furthering cosmological simulations and parameter inference.

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• This is a full-time,1 yeah, 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 4 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.
• Salary will be predetermined based on postdoctoral step rates.
• 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 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 ( 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.
RequirementsWhat is Required: • Ph.D. in Physics, Astronomy, Applied Mathematics, Computer Science or equivalent/related field. • Publish and present research results in journals and conference proceedings. • Experience with numerical simulations and statistical and machine learning techniques. • Excellent oral and written communication skills. • Ability to work productively both independently and as part of a diverse team. Desired Qualifications: • Experience with High-Performance Computing in scientific context. Requested Application Materials: • Curriculum Vitae. • Statement of research experience and interests. • Arrange for 3 letters of recommendation to be emailed to Zarija Lukić (
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
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