Applied Machine Learning - Postdoctoral Researcher
Engineering | livermore, CA | 03/15/2023
Job Code: PDS.1 Post-Dr Research Staff 1
Position Type: Post Doctoral
Security Clearance: Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation)
Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam: Not applicable
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.
$108,600 - $126,720 Annually
Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.
We have an opening for Postdoctoral Researchers to join our interdisciplinary team of Applied Machine Learning Researchers supporting a variety of application areas including Cyber Security, Climate Modeling, Energy Systems, Bioscience and Advanced Manufacturing. Qualified candidates should have a background in a scientific discipline providing underlying skills in data analytic techniques and a working knowledge of standard machine learning toolkits. While supporting applied research projects, selected candidates will be provided mentorship, practical training, and skill development to develop depth and breadth in machine learning techniques as well as gain exposure to a variety of application areas. These positions are in the Computational Engineering Division (CED).
In this role you will
- Conduct research into state-of-the-art Machine Learning algorithms relevant to the problem being addressed.
- Implement, train and validate proposed algorithms for specific problem domains.
- Contribute to the integration of algorithms within larger programmatic systems that require these capabilities.
- Collaborate with others in a multidisciplinary team environment to accomplish research goals.
- Pursue independent, but complementary, research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
- Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings.
- Travel as required to coordinate research with collaborators and visit field sites.
- Perform other duties as assigned.
- Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
- PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques.
- Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods.
- Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++.
- Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
- Demonstrated ability to undertake original research and communicate findings in peer-reviewed publications.
- Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions.
- Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
Additional InformationAll your information will be kept confidential according to EEO guidelines.
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?
- Flexible Benefits Package
- 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
This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.
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.
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.
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.
California Privacy Notice
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.