Lawrence Livermore National Laboratory



Postdoctoral Research Staff Member (Data Scientist)

Location:  Livermore, CA
Category:  Post Docs
Organization:  Computation
Posting Requirement:  External Posting
Job ID: 104195
Job Code: Post-Dr Research Staff 1 (PDS.1)
Date Posted: September 11 2018

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Science and Technology on a Mission!

For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place.

We have multiple openings for Postdoctoral Research Staff Members to engage in the research, design, and deployment of machine learning and statistical methods to solve important data and science problems stemming from the Laboratory's mission spaces.  You will work as part of collaborative, multidisciplinary teams to support a variety of application areas (such as material science, high energy physics, predictive medicine, cybersecurity, climate modeling).  These positions are in the Center for Applied Scientific Computing (CASC) Division within the Computation Directorate.

Essential Duties
- Research, design, implement, and apply a variety of advanced data science methods for multiple applications in a collaborative scientific environment.
- Actively participate with project scientists and engineers in defining, planning, and formulating experimental, modeling, and simulation efforts for complex problems stemming from national security applications.
- Propose and implement advanced analysis methodologies, collect and analyze data, and document results in technical reports and peer-reviewed publications.
- Contribute to grant proposals and collaborate with others in a multidisciplinary team environment, including academic and industrial partners, to accomplish research goals.
- Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Laboratory.
- Perform other duties as assigned.

Qualifications
- Recent PhD in Machine Learning, Statistics, Computer Science, Mathematics or a related field.
- Demonstrated ability and desire to obtain substantial domain knowledge in fields of application and ability to communicate effectively with subject matter experts.
- Experience with developing, implementing and applying advanced statistical and machine learning models and algorithms.
- Demonstrated research ability, as documented by publications, reports, and presentations.
- Experience applying advanced data analysis methodologies for prediction and scientific discovery while integrating a thorough understanding of the underlying mechanisms generating the data in computer science, machine learning, computational statistics, and uncertainty quantification.  
- Advanced analytical and problem-solving skills necessary to craft creative solutions to independently solve complex problems.
- Programming skills in at least one prototyping language Python/R/MATLAB, as well as one of C/C++/Fortran to enable high-dimensional data analysis on HPC platforms.
- Proficient verbal and written communication skills to effectively collaborate in a team environment, present and explain technical information to technical as well non-technical audience, document work and write research papers.

Desired Qualifications
- Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods.
- Demonstrated technical leadership in fields related to data science.

Pre-Employment Drug Test:  External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test.
 

Security Clearance:  None required.

 

Note:   This is a one year Postdoctoral appointment with the possibility of extension to a maximum of three years.  Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date.

About Us

Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE).  LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance.  The Laboratory has a current annual budget of about $1.8 billion, employing approximately 6,500 employees.

 

LLNL is an affirmative action/ equal opportunity employer. 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, protected veteran status, age, citizenship, or any other characteristic protected by law.

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