Nuclear Technology Forensics 1
– Accepting applications 1 September 2018 – 7 November 2018
A strong degree of quantitative ability and strong communication skills are sought. A background in multiple disciplines is desirable; for example, course-work in several distinct subjects drawn from topics such as chemistry, radiation detection, nuclear science & engineering, autonomy, chemical engineering, physics (including laser, nuclear, shock, condensed matter, plasma, atomic, molecular, and optical), materials science, remote sensing (RF to optical), mass spectrometry, robotics, mathematics, systems engineering, mechanical engineering, electrical engineering and computer science, and related curricula.
Candidates who have previous experience with high-performance computing, artificial intelligence, machine learning, neural networks, data compression, or multi-modal data fusion are encouraged to apply. Additionally, candidates who have previous experience working with codes like MCNP, HDF5, or TensorFlow are encouraged to apply. Finally, candidates who have previous experience working with shock physics and hydrodynamic codes are encouraged to apply.
This position is located on-site at the Defense Threat Reduction Agency (DTRA) and is not a lab research position, incorporating neither laboratory time nor academic research.
The successful candidate will be expected to assist in the development of research topics and strategies, evaluation of proposals, and management of grants and contracts that improve the understanding of science with the objective of: advancing capabilities to locate, identify, and characterize nuclear and radiological materials and debris; monitoring for nuclear explosions; and identification of nuclear proliferation signatures. This position may involve some modeling and simulation work.