Join us and make YOUR mark on the World!
Come join Lawrence Livermore National Laboratory (LLNL) where we apply science and technology to make the world a safer place; now one of 2019 Best Places to Work by Glassdoor!
We have multiple openings for a Postdoctoral researcher. You will conduct basic and applied research in Machine Learning for automated understanding of massive multimodal data. Example applications span a wide variety of areas, including climate modeling, radiation detection, cyber security, image and video understanding, computational biology, clinical prediction and analysis, neuroscience, advanced manufacturing, and many others. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate.
- Conduct research in Machine Learning to enable development of new state-of-the-art algorithms for Laboratory problem domains.
- Design, implement, and analyze techniques in Machine Learning.
- Contribute to and actively participate in the conception, design, and execution of research to address defined problems.
- Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
- Collaborate with others in a multidisciplinary team environment to accomplish research goals.
- 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.
- Recent PhD in Computer Science, Engineering, Applied Statistics, Applied Mathematics, or related field.
- Experience with programming skills in one or more higher-level programming languages such as C/C++, Java/Scala, or Python.
- Experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, unsupervised feature learning, reinforcement learning, zero- or few-shot learning, multimodal learning, natural language processing, ensemble methods, scalable density estimation, scalable online inference, and probabilistic graphical models.
- Experience developing independent research projects as demonstrated through publication of peer-reviewed literature.
- Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
- Initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment.
- Experience developing and writing technical proposals and have an established publication record.
- Experience and expertise with Deep Learning models and libraries.
- Experience with GPU programming and parallel algorithm development experience.
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.
Security Clearance: This position requires either no security clearance, or a Department of Energy (DOE) L-level or Q-level clearance depending on the particular assignment.
If you are selected and a security 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. L and Q-level clearances require U.S. citizenship. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.
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.
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 $2.1 billion, employing approximately 6,800 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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