NUCL-ACS

CRH ENG Postdoctoral Research Associate (Nuclear Technical Forensics) 288996
 
Posting Start Date
01/29/2014
 
Posting End Date
03/11/2014
 
Reference Code
CRH ENG Post Doc 288996 EB
 
Company Description
B&W Technical Services Y-12, L.L.C., a partnership between Babcock & Wilcox Technical Services Group, Inc. and Bechtel National, Inc., operates the Y-12 National Security Complex under a prime contract with the Department of Energy’s National Nuclear Security Administration (NNSA). Information about the Y-12 Complex can be found online at www.y12.doe.gov. The Oak Ridge and greater Knoxville, Tennessee area offers an exceptional quality of life with outstanding outdoor recreational opportunities, cultural opportunities at the University of Tennessee, a very reasonable cost of living, and some of the top secondary schools in the nation.
 
Organization/Department
Engineering/Development
 
Project
A full-time post-doctoral research position in nuclear technical forensics (NTF) is immediately available at the Y-12 National Security Complex. The appointment, funded jointly by Y-12 and the Domestic Nuclear Detection Office (DNDO), is initially for one year, but can be extended for up to three years.
 
Specific Job Responsibilities:
The position primarily will be concerned with development of one or more NTF attribution tools based on machine learning and data analysis techniques. A nuclear attribution capability is described as a necessity in the mission statement of the Department of Homeland Security’s National Nuclear Technical Forensics Center (NTNFC). Day-to-day activities may include algorithm development and coding, data aggregation, statistical analysis, and user-interface development. There likely will be opportunities to collaborate with researchers at other Department of Energy sites, as well as with students at various levels.
 
Specific Job Knowledge & Training Required:
A Ph.D. awarded within the last five years, or soon to be completed, in computer science, applied mathematics, or statistics is required. A Ph.D. in a science or engineering field, along with prior work in machine learning, will also be considered.
 
A strong background in machine learning is necessary, as well as experience in one or more of the following: analytics, image analysis, uncertainty quantification, numerical analysis, data visualization, and software verification and validation. Some facility with programming is also required. An ability to work independently, and to manage and advance one part of a multi-part project, is essential.
 
A working knowledge of solid-state chemistry, radiochemistry, or materials science is preferred. In addition, experience with Matlab, and especially with the Matlab Neural Network Toolbox, is preferred.
 
A curriculum vitae along with a cover letter addressing how the position requirements are met and an academic transcript should be submitted online through http://www.y12.doe.gov/careers. The curriculum vitae should contain, at a minimum, the following information: education with degree dates; GPA with scale; name(s) of advisor(s); citizenship; relevant work experience; honors and awards; and publications and presentations.
 
Requires a Q clearance; however, all qualified candidates will be considered regardless of their current clearance status. (The ability to obtain and maintain a Department of Energy “Q” clearance is required.)
 
Employment Fraction
Full-time
 
Y-12 is a drug-free workplace. Candidates accepting a job offer will be required to pass a pre-placement physical, drug screening and background investigation. As an employee, you must also be able to receive and maintain a security clearance from the United States Department of Energy in order to meet eligibility requirements for access to classified information or matter. All employees with a security clearance are also subject to being randomly selected for drug testing without advance notification.
 
Y-12 is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, genetics, status as a protected veteran, or status as a qualified individual with disability.