
Computational Scientist
- Fairfax, VA
- Permanent
- Full-time
- Provides subject matter expertise in computational methods, theory of mathematics and physics, and modeling and simulation
- Develops and implements state-of-the-art computational electromagnetics (CEM) and numerical analysis algorithms, such as hierarchical Adaptive Cross Approximations (hACA), finite difference time domain (FDTD), and multi-level fast multipole method (MLFMM)
- Documents and presents analysis, design, and research results
- Participates in code development activities in the group by developing requirements, interface specifications, and test plans for software validation and verification
- Compiles and evaluates test data, prepares technical analysis, recommends methods and processes required to meet design objectives on new or improved products and/or processes
- Conducts analyses or tests pertaining to the development of new methods, algorithms, processes or standards and provides recommendations accordingly
- Other duties as assigned
- Obtain and maintain a Top Secret/SCI Security Clearance
- STEM degree in Physics, Electrical Engineering, Applied Mathematics or equivalent
- Education and Experience:
- Bachelor's in STEM field with 8+ years of experience, or
- Master's in STEM field with 6+ years of experience, or
- PhD in STEM field with 3+ years of experience.
- Relevant years of experience may be substituted in lieu of a degree
- Experience with scientific computational modeling
- Proficiency in scientific computing (e.g. UNIX, Fortran, C/C++, MPI/OMP, scripting, MATLAB, and/or Mathematica)
- Ability to work independently and with a team
- Superior interpersonal and communications skills, written and verbal
- Willingness to learn and perform other duties as assigned
- Ability to travel (less than 10%)
- Active Top Secret/SCI Security Clearance (with poly preferred)
- PhD in Physics, Electrical Engineering, Applied Mathematics or equivalent and 3+ years of experience developing scientific computational programs
- Experience with numerical techniques such as method of moments, surface and volumetric integral equations, asymptotic methods, domain decomposition methods, finite difference time domain, linear algebra, multi-level fast multipole method, finite element method, etc.
- Experience with parallel programming on large high-performance computers (MPI and/or OpenMP)
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.