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Lawrence Berkeley National Laboratory


Jobs

Senior Scientific Engineering Associate

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Posted on: March 17, 2021 Apply Now
Full-Time Job Data & Technology, Government, Law, & Public Policy, Healthcare, Pharmaceuticals, & Sciences, Natural Resources, Sustainability, & Environmental ScienceExpires April 18, 2021

Berkeley Lab’s Nuclear Science Division has an opening for a Senior Scientific Engineering Associate to join their Applied Nuclear Physics Group.In this exciting role, you will engage in innovative, applied research and development as part of a team of physicists and engineers working on the development of multi-sensor systems that apply computer vision concepts to overcome nuclear nonproliferation and safeguards challenges. You will contribute to the development of 2D and 3D object detection and transfer learning analyses for nuclear safeguards applications, build 3D mapping capability for different types of nuclear material containers, and inform and iterate on the design of the hardware and sensor package.  What You Will Do:Investigate and develop or augment 2D and 3D object detection concepts for specific nuclear safeguards applications.Participate in the development and integration of multi-sensor systems. This will include managing software installation and dependencies, experimental testing and evaluation, and system design and refinement.Develop, implement, and optimize advanced data analyses. This will include multi-sensor data fusion, implementation and optimization of computer vision tools for novel applications, and optimization for either real-time or large-scale offline processing.Perform research and development following best practices, ensuring reproducible and well-documented results.Perform experimental testing of prototype systems. What is Required:Bachelor’s Degree in Computer Science, Electrical Engineering, Data Science, Physics, or Nuclear Engineering and a minimum of 3 years related professional technical experience or an equivalent combination of education and experience.Experience in different computer vision methods.Experience in algorithm development, signal processing, or statistical analysis.Experience with management of software in a Linux ecosystem. Excellent written and oral communication skills.Demonstrated outstanding data analysis skills and proficiency in C/C++ and Python.Demonstrated ability to perform work individually and as part of a group. Desired Qualifications:Experience with machine vision techniques and image processing.  Notes:This is a full time, 3 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.Diversity, equity, and inclusion are core values at Berkeley Lab. Our excellence can only be fully realized by faculty, students, and staff who share our commitment to these values. Successful candidates for our faculty positions will demonstrate evidence of a commitment to advancing equity and inclusion.Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: “Equal Employment Opportunity is the Law.”Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.   

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