Integration and Analysis 1
– Accepting applications 1 September 2018–15 October 2018.
The position will support advanced analytics, modeling, and simulation research activities that enable a wide range of mission areas including, but not limited to, the following:
- Detecting and identifying nuclear proliferation activities.
- Detecting and identifying nuclear testing events.
- Detecting and identifying nuclear components and products.
- Predicting post nuclear detonation effects.
Candidates should have a Ph.D. or equivalent in physics, geology, seismology, mathematics, computer science, or related fields. Interdisciplinary research experience in the computational and physical sciences are preferred. Experience working on U.S. Department of Defense grants or contracts is desirable but not required.
Candidates that demonstrate proficiency in one or more areas including, but not limited to, the following are of interest:
- Computer vision.
- Hyperspectral imaging.
- Machine learning.
- Modeling and simulation.
- Multimodal fusion.
- Nuclear and radiological sensor design and optimization.
- Object identification.
- Seismic, acoustic, and infrasonic signal propagation, sensor waveform feature identification.
- Techniques for dealing with low signal-to-noise ratio waveforms.
Successful candidates will demonstrate:
- Willingness to expand technical focus beyond current Ph.D.expertise.
- Excellent written and oral communication skills.
- Willingness to adapt to new communication styles and incorporate new lexicons (e.g., military).
- Ability to translate complex technical subject into formats understandable by the general public.
- Proficiency with Microsoft Office.
- Ability to decompose requirements into science topics.
- Experience preparing, reviewing, editing and formatting technical documents.
- Ability to multitask and align deliverables with tight project deadlines.
- Ability to work independently and in collaboration with others with minimal direction/supervision.
- Willingness to work with external partners on cooperative projects.
This position is mostly focused on support of basic research and program management.