Pacific Northwest National Laboratory Computational Imaging Engineer in RICHLAND, Washington
Organization and Job ID
Job ID: 310222
Directorate: National Security Directorate
Division: Signature Sciences and Technology
Group: Disruptive Technology
The Disruptive Technology group focuses on emerging technologies by integrating capability across electromagnetics, systems modeling, algorithm development, and systems design to serve as flywheel for feeding technology advancements into capabilities across the division and laboratory. Projects within the group range from highly applied projects in support of national security to fundamental science projects.
The DT group is seeking an early to mid-career level Computational Imaging Engineer with skills in data science to contribute to a wide variety of research and development efforts involving electromagnetics sensing. The successful candidate should have experience in research and / or applied projects or programs.
Staff at PNNL engage in state-of-the-art research in advanced imaging methods using active microwave, millimeter-wave, x-rays, and ultrasonics. These methods use a variety of computational methods to form high-resolution images, and require development of advanced algorithms for image formation, target detection, and analysis. Staff employ diverse methods to confront significant problems of national interest. The successful candidate will have a mindset for data-driven research and discovery facilitated by the tools and techniques of computational imaging and data science.
The incumbent will work as a technical contributor under the guidance of senior scientists and engineers, and will be responsible for performing the following technical tasks with the level of quality, timeliness, and cost, to meet required project and client expectations:
Strong written and oral communication skills – including the ability to author technical presentations and reports and carefully document experimental results.
Interest and enthusiasm for working on diverse projects that will demand the development of new skills
Strong record of academic and job performance
Build reputation through application of scientific and engineering principles and theories and developing technical approaches to solve challenges.
Effectively team to share resources and optimize research. Mentor junior staff.
Lead or contribute to technical proposals, project reports, scientific and technical products, and journal papers.
Assist with the development of new capabilities within the group.
In addition to high-quality support for clients (both internal and external), a critical part of the position is the ability to quickly and effectively develop and demonstrate skills and abilities that will lead to growth in responsibilities and career progression.
Scientist/Engineer II (Bachelor's degree with 2-3 years of experience, Master's degree with 0-2 years experience, and PhD with 0 years of experience. Degree in electrical engineering.
Scientist/Engineer III (Bachelor's degree with 5 years of experience, Master's degree with and 3+ years of experience, and PhD with 1-2 years of experience. Degree in electrical engineering. MS or above is strongly preferred.
Degree in Electrical Engineering, or related field with additional expertise in data science is preferred.
Specific experience in computational imaging and sensing methods in applications such as microwave radar, millimeter-wave radar, terahertz, optical, IR, and X-ray imaging.
Design and modeling experience in areas such as compressive sensing, coded aperture imaging, tomographic imaging, synthetic aperture radar, holography, multidimensional image reconstruction
Strong skills in numerical computing including signal and image processing
Beneficial experience includes data science, machine learning and neural networks, graph analytics, modeling and analysis of complex systems, and information exploitation algorithms (such as pattern recognition, detection, tracking, etc.)
Beneficial experience includes algorithm development using graphical processing units (GPU’s) with programming in CUDA or OpenCL
Strong interpersonal skills and the ability to collaborate effectively on diverse, interdisciplinary teams
Excellent written and oral communication skills
Experience managing tasks with budget and deadline requirements
The hiring level will be determined based on the education, experience and skill set of the successful candidate based on the following:
Level II : Ability to receive guidance on new assignments, making preliminary selections on technical alternatives; independently complete recurring assignments. Contribution to proposals. Defining and leading project work at a small to medium task level, reporting results on time and on budget. All while embracing expectations for quality, safety, and security.
Level III : Ability to give guidance on new assignments, making selections on technical alternatives; independently complete more complex assignments. Leading or contribution to proposals. Defining and leading project work at a large task/project level, reporting results on time and on budget. All while embracing expectations for quality, safety, and security.
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment.
Special/Hazardous Working Conditions or Environment: Complexities related to the position, working environment, special challenges, etc.:
Laboratory work with vacuum, pressurized gases, cryogenics, radiation sources and control/measurement systems
This position requires the ability to obtain and maintain a federal security clearance.
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated.
Directorate: National Security
Job Category: Engineering/Engineering Techs
Group: Disruptive Technology
Opening Date: 2020-02-07
Closing Date: 2020-03-06