
Lawrence Berkeley National Lab
Scientific Engineering Associate - 98687
Division: NS-Nuclear Science
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Nuclear Science Division (https://www-nsd.lbl.gov/) has an opening for a Scientific Engineering Associate to join the team.
In this exciting role, you will join a team of scientists and engineers in the Applied Nuclear Physics Program (ANP) and contribute to exciting new research programs. You will grow your scientific and computational engineering expertise and help the team of domain experts and principal investigators to do world leading research.
The ANP program conducts transformative research in the field of radiation detection and imaging through inventing novel detector concepts and fusing multi-sensor data with state-of-the-art algorithms and machine learning techniques. We strive to foster a diverse and inclusive environment.
For questions please contact Dr. Marco Salathe (msalathe@lbl.gov).
What You Will Do:
• Support the development, construction and operation of multi-sensor systems. This will include managing software installation and dependencies, experimental testing and evaluation, system design and refinement, as well as operation in field experiments at nuclear facilities.
• Integrate multi-sensor systems with robotic platforms and unmanned aerial systems.
• Help to develop new statistical algorithms and machine learning for radiological/nuclear detection, identification and imaging.
• Work on advanced data analysis methods. This will include multi-sensor data fusion, implementation and optimization of machine learning tools, and optimization for either real-time or large-scale offline processing.
• Perform research and development following best practices, ensuring reproducible and well documented results.
Additional Responsibilities as needed:
• Contribute to other group activities related to advanced radiation detection concepts.
• Contribute to papers, reports, and proposals and make oral presentations of original work at conferences and seminars.
What is Required:
• Bachelor’s degree, or equivalent knowledge in physics, nuclear engineering, electrical engineering or a related field.
• Experience of radiation detection and gamma-ray or neutron imaging.
• Experience of algorithm development, signal processing, or statistical analysis.
• Experience of developing and employing machine learning algorithms.
• Experience with management of software in a Linux ecosystem.
• Demonstrated ability to perform research individually and as part of a group.
• Excellent organizational and planning skills to contribute to ANP goals and objectives
• Demonstrated outstanding data analysis skills and proficiency in C/C++ and Python.
• Ability to work effectively with staff at all levels with the Nuclear Science Division.
• Excellent written and verbal communications skills to interact with scientific investigators, administrators, management and technical staff.
Desired Qualifications:
• Master’s degree in physics, nuclear engineering, electrical engineering, or a related field.
• Experience with machine learning is desirable.
• Familiarity with Docker and Docker-compose.
• Familiarity with ROS.
• Familiarity with OpenCV, Open3D, OpenCL.
• Familiarity with Tensorflow and/or Pytorch.
Salary:
This position is expected to pay a targeted range of $6,561 to $9,025 per month depending upon the candidate’s skills, knowledge, and abilities, including education, certifications, and years of experience.
Notes:
• This is a full-time 1 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.
• Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=260507 and follow the on-line instructions to complete the application process.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) 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 (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.