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Signal and Image Sciences Postdoctoral Research Staff Member

Not Applicable | Full-time
Engineering | livermore, CA | 04/15/2021

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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 looking for individuals that demonstrate an understanding of working in partnership with team peers, who engage, advocate, and contribute to building an inclusive culture, and provide expertise to solve challenging problems.

Job Description

We have multiple openings for a Postdoctoral Researcher to conduct basic and applied research in the Signal and Image Sciences. Specific areas of interest include: machine learning and computer vision techniques for the signal and image sciences sparse signal recovery and compressive sensing, inverse problems and image reconstruction, and video analytics. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate.

In this role you will

  • Conduct research in the signal and image sciences which creates and implements new state-of-the-art algorithms and/or hardware systems.
  • Design, implement, and analyze techniques in the signal and image sciences.
  • Organize, analyze, and present data from research.
  • 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.

Qualifications

  • PhD in Engineering, Computer Science, Applied Mathematics, or related field.
  • State-of-the-art knowledge of one or more specialization topics within the signal and image sciences.
  • Experience using contemporary software and/or hardware tools for algorithm and/or system development in the signal and image sciences.
  • Ability to develop and conduct independent research projects with minimal guidance.
  • Ability to undertake novel and innovative research as demonstrated through publication record.
  • 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.

Qualifications We Desire

  • Proficiency in developing and writing technical proposals.
  • Ability to attract funding from technical and scientific R&D organizations.

Additional Information

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

Security Clearance

LLNL is a Department of Energy (DOE) and National Nuclear Security Administration (NNSA) Laboratory.  Most positions will require a DOE L or Q clearance (please reference Security Clearance requirement).  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. In addition, all L or Q cleared employees are subject to random drug testing.  An L or Q clearance requires 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.  For additional information please see DOE Order 472.2.

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

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.

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