Senior Scientific Engineering Associate

📁
Engineering
💼
NS-Nuclear Science
📅
92198 Requisition #

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:

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.

 

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Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments.

Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: "Equal Employment Opportunity is the Law." and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.

 

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The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to eeoaa@lbl.gov or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.