Berkeley Lab’s Nuclear Science Division (https://commons.lbl.gov/display/nsd/Home) has an opening for a Radiation Detection Postdoctoral Scholar. Under the direction of the principal investigator in the Applied Nuclear Physics Program (ANP), engage in innovative, applied research as part of a team of physicists and engineers working on the development of mobile radiation detection and imaging systems that fuse radiation data with data from contextual sensors including video and LIDAR.
What You Will Do:
• Conceptualize, plan, and conduct original research on the development of multi-sensor and gamma ray detection and imaging systems.
• Participate in the development of data acquisition systems and real time data processing algorithms for multi-sensor and gamma-ray detection and imaging systems.
• Publish papers, reports, and proposals and make oral presentations of original work.
• Interact with LBNL and other investigators working on similar or related scientific problems.
Additional Responsibilities as needed:
• Contribute to other group activities related to advanced radiation detection concepts.
• Research radiation detection and operate nuclear instrumentation.
• Use machine vision techniques and image processing.
The posting shall remain open until filled.
• This is a full time, 1 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• Full-time, M-F, exempt (monthly paid) from overtime pay.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• 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://18.104.22.168/counter.php?id=131285 and follow the on-line instructions to complete the application process.
Berkeley Lab (LBNL, http://www.lbl.gov/) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science.
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 (http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf). Click here (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) to view the poster: "Equal Employment Opportunity is the Law".
Qualifications & Requirements What is Required:
• PhD in physics, engineering, computer science, or related fields.
• Demonstrated outstanding data analysis skills and proficiency in C/C++ and Python.
• Familiarity with Linux.
• Experience of algorithm development, signal processing, or statistical analysis.
• Excellent written and oral communication skills.
• Demonstrated ability to perform research individually and as part of a group.
• Experience with processing and analyzing data from sensors including video and LIDAR.
Additional Desired Qualifications:
• Experience of radiation detection and nuclear instrumentation.
• Experience with machine vision techniques and image processing.
• Familiarity with ROS.