Nuclear Technology Detection
– Accepting applications 7 January 2019 – 31 March 2019
quantitative abilities and communication skills are sought. The candidate must
have a Ph.D. or equivalent in computer science, mathematical sciences, nuclear
sciences, applied physics, physics, engineering sciences or a related field.
Skills desired include broad knowledge of laboratory nuclear detector science,
computational methods, and modeling. Experience with machine learning or other
artificial intelligence methods is desirable. Knowledge of basic principles in
nuclear physics is required. Experimental or theoretical specialties are
welcome, but candidates need to be willing and flexible at learning and
reviewing concepts beyond their specialty.
Threat Reduction Agency (DTRA) is seeking a U.S. citizen to provide support of
research and development activities for improving detection of nuclear and
other radioactive materials in the field, with a focus on finding nuclear weapon
threats. At this time DTRA is specifically looking to fill a position focused
on enhancement of detection concepts which include methods that are
alternatives to direct detection of gammas and neutrons. These methods might
include, but are not limited to, hardware and algorithms for more general
surveillance and reconnaissance applied research methods. The goal is to
facilitate technologies to detect, locate, characterize, and identify sources
of radiation and related patterns of activity in complex environments.
position is located within DTRA, on-site at Fort Belvoir, Virginia. This is not
a bench research position within a lab, but is focused on support of DoD 6.2
(applied research) and program management. The following are emphasized: (1)
depth of analytic thinking to identify critical research needs and
opportunities; and, (2) follow-up management of investments in applied research
awards to foster success of the portfolio. The successful candidate will help
implement new ideas into development of research topics, review proposals and
scientific progress, and support award oversight. Program success is achieved
by increasing innovative knowledge that enables technology development for
detecting nuclear weapon threats.