Company Description
Join us and make YOUR mark on the World!
Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.
We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is important for continued success of the Laboratory’s mission.
Pay Range
$113,760 Annually
Job Description
We’re looking for a Postdoctoral Researcher to conduct research in particle and heavy-ion physics. The group participates in the ATLAS, sPHENIX and ePIC experiments. You will support LLNL’s activities on sPHENIX, including commissioning, calibration and data analysis, and contributing to projects applying machine learning at the LHC. This position is in the Particle Physics group of the Nuclear and Chemical Sciences Division.
You will
Formulate research proposals for external and internal sponsors.
Contribute to the operation and data taking with sPHENIX.
Assist in the development of new experimental capabilities for sPHENIX.
Perform physics analysis of sPHENIX data.
Contribute to ongoing projects applying machine learning methods to the LHC.
Interact with the data scientists at the Laboratory to further the application of AI and ML techniques to nuclear and particle physics.
Publish research results in peer-reviewed scientific or technical journals and present results and external conferences, seminars, and/or technical meetings.
Perform other duties as assigned.
Qualifications
Ph.D. in Particle Physics, Nuclear Physics or related field.
Interest in applying machine learning methods to particle and nuclear physics.
Demonstrated record of outstanding research in particle or heavy-ion physics or a related field.
Proficiency in particle and/or relativistic heavy-ion physics including familiarity with major physical phenomena and fluency in modern experimental techniques.
Experience with complex data analysis and high-performance computing.
Experience with the operation and data taking of collider experiments.
Proficient verbal and written communication skills to collaborate effectively in a multi-disciplinary team environment and present and explain technical information.
Documented publication record in peer-reviewed literature with experience presenting research results to a large audience.
Qualifications We Desire
Familiarity with machine learning frameworks such as Tensorflow or Pytorch.
Extensive software development skills in C++ and/or python.
Familiarity with simulation and analysis tools such as ROOT, GEANT and Monte Carlo event generators.
Proficiency with statistical analysis including parameter inference and uncertainty quantification.
Additional Information

LI-Hybrid

Position Information
This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.
Why Lawrence Livermore National Laboratory?
Included in 2024 Best Places to Work by Glassdoor!
Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (*depending on project needs)
Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
Our core beliefs - visit https://www.llnl.gov/diversity/our-values
Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement
Security Clearance
None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
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To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
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Please refer the Job description for details