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 essential to innovation and creativity for continued success of the Laboratory’s mission.Job Description
We have an opening for an Astronomy & Astrophysics Postdoctoral Research Staff Member who will apply their knowledge in mathematical, statistical, and numerical modeling to the interpretation of astronomical surveys for characterizing transient phenomena, dark matter, and dark energy. You will also develop methods and models to explore the foundations of machine learning and applications of novel computing architectures to the solution of machine learning and scientific data analysis problems. This position is in the Astronomy & Astrophysics Analytics group in Applied Physics Section of the Physics Division.
In this role you will
Work collaboratively with an interdisciplinary team to analyze astronomical survey data for scientific insights and applications of novel computing and modeling approaches.
Develop statistical Bayesian models, hierarchical models, machine learning methods, numerical algorithms, and artificial intelligence models.
Perform Monte Carlo computations, apply uncertainty quantification to computational physics modeling.
Conduct High Performance and distributed computing projects in support of scientific research aims.
Present formal and informal overview of research progress at weekly meetings.
Conduct self-initiated research, maintain an awareness of technical literature in assigned areas, publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars and/or technical meetings.
Perform other duties as assigned.
PhD in physics, astronomy, or a related field.
Knowledgeable in Bayesian modeling, machine learning, or artificial intelligence.
Experience in mathematical or statistical modeling of scientific data.
Ability to perform independent research, find innovative solutions and produce significant accomplishments to scientific and technical problems.
Experience working on a research team with individuals from diverse technical backgrounds, as well as function as an independent researcher with a high level of attention to details.
Proficient verbal and written communication skills necessary to work in a multidisciplinary team environment, author technical and scientific reports and publications and deliver scientific presentations.
Qualifications We Desire
Experience in scientific software development
Experience with astronomy data analysis
Experience with algorithms or high-performance computing
Why Lawrence Livermore National Laboratory?
- Included in 2021 Best Places to Work by Glassdoor!
- Work for a premier innovative national Laboratory
- Comprehensive Benefits Package
- Flexible schedules (*depending on project needs)
- Collaborative, creative, inclusive, and fun team environment
Learn more about our company, selection process, position types and security clearances by visiting our Career site .
COVID-19 Vaccination Mandate
LLNL demonstrates its commitment to public safety by requiring that all new Laboratory employees be immunized against COVID-19 unless granted an accommodation under applicable state or federal law. This requirement will apply to all new hires including those who will be working on site, as well as those who will be teleworking.
LLNL is a Department of Energy (DOE) and National Nuclear Security Administration (NNSA) Laboratory. Some positions will require a DOE L or Q clearance (please reference Security Clearance requirement above). If you are selected and a clearance is required, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. An L or Q clearance requires U.S. citizenship. For additional information please see DOE Order 472.2 (link is external) .
Pre-Employment Drug Test
External applicant(s) selected for this position will be required to 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.
Pre-Placement Medical Exam
A job related pre-placement medical examination may be required.
Equal Employment Opportunity
LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. 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.
If you need assistance and/or a reasonable accommodation during the application or the recruiting process, please submit a request via our online form .
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The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .Videos To Watch