Spectral Sciences, Inc., a small, employee-owned business dedicated to innovation and excellence in basic and applied research for over 40 years, seeks highly motivated and talented individuals with strong backgrounds in the physical sciences and engineering. Research and development areas include gas and fluid dynamics, molecular modeling, remote sensing, atmospheric radiative transfer, combustion science, computational chemistry, 3-D and spectral scene modeling, electro-optical signatures analysis, and development of electro-optical instrumentation to support phenomenological studies and new measurement concepts.
SSI offers competitive salaries, stock ownership, and a comprehensive benefits package. Interested individuals are invited to send their resumes in confidence to Human Resources, Spectral Sciences, Inc., 30 Fourth Avenue, Suite 2, Burlington, MA 01803 or to resume@spectral.com. See www.spectral.com/careers. Please reference the position title in correspondence. Why SSI?
- Research Engineer – Computational Aerospace Applications
- Researcher – Scientific Computation
- Researcher – Atmospheric Sciences and Remote Sensing
- Researcher – Remote Sensing and Imaging Developer
Research Engineer – Computational Aerospace Applications
Job Description:
The successful candidate will work with a small team of scientists and engineers to develop software and algorithms for scientific R&D applications. This will include extension and application of CFD methods for the prediction of hypersonic aerothermodynamic and rocket plume environments, material response in these environments, the prediction of the emission and transmission of electro-optic signals through these environments, integration and testing of CFD software plug-ins, and analysis of large data sets.
Required Minimum Qualifications:
- An M.S. degree in engineering (aerospace, mechanical, electrical, chemical) or the physical sciences (physics, chemistry, atmospheric sciences, optics) or related field.
- Programming experience in Python, FORTRAN, C++, MATLAB, or Unix command line tools.
- Have initiative, interest in skill development, and desire to work closely with team members.
- US citizenship and ability to obtain a US Government Security Clearance upon hire.
Preferred Qualifications:
- A Ph.D. or relevant work experience.
- Experience with supersonic and hypersonic computational fluid dynamic models with software such as US3D, FUN3D, DPLR, Kestrel, CFD++, or equivalent.
- Experience development of block structured and unstructured grids with software such as LINK3D, Pointwise, or equivalent.
- Experience using CAD programs such as SolidWorks or similar.
- Interest or familiarity with modeling of gas flow, high temperature chemistry, and emission and transmission of light.
- Experience in more than one programming language, ideally C++, Python, or FORTRAN.
- Experience with version control, ideally with git.
- Experience with standard build systems, such as gcc/Make/CMake and/or Visual Studio.
- Ability to clearly communicate and present technical ideas to your peers.
- Experience applying software development to real world problems.
- Experience applying software development to real world problems.
- An appreciation for developing software in an engineering context to drive algorithm and system design for real world systems.
Researcher – Scientific Computation
Spectral Sciences, Inc. seeks a talented and highly motivated multi-disciplinary researcher for work in the areas of physical modeling, data analysis, and algorithm development.
Job Description:
Typical projects may involve developing physical models of chemical reactions, multi-phase flows, and molecular spectra, including aspects of numerical algorithms, molecular dynamics, quantum chemistry, fluid dynamics, spectroscopy, radiation transport, and physics. End products are realistic prediction of events and phenomenology, including estimates of spatial, spectral, and temporal signatures.
The ideal candidate for this position is comfortable working independently, and in small groups, to develop ideas that meet customer needs. They are highly motivated to solicit funding, write proposals and develop new ideas, and carry through phases of scientific software development from initial physical equations of phenomenology to demonstration pseudo-code to fully documented and tested large scale scientific software.
Qualifications:
- An MS or PhD degree in engineering (aerospace, electrical, chemical, mechanical), applied mathematics (data science, computer science) or the physical sciences (physics, chemistry, atmospheric sciences) or equivalent.
- Experience should include proficiency in current methods of mathematical modeling of physical phenomena and development of fundamental physical models, numerical methods, and data analysis algorithms.
- A track record of written, oral, and interpersonal communications skills.
- US citizenship and ability to obtain a US Government Security Clearance are required.
Additional Considerations:
- Post-Doctoral and/or post-degree work experience.
- Experience programming in Fortran, C/C++, MATLAB and/or Python.
- Experience with multi-processing and multi-threading programming, shell scripting and Unix command line tools.
- Experience in the development and execution of software on a variety of serial and parallel platforms, on both Linux and Windows platforms.
- Familiarity with chemistry, molecular spectroscopy, and radiative transfer phenomena.
- Computational modeling with fluid dynamics and/or continuum and rarefied simulation
- Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data and deep learning concepts.
- Integration of chemical and physical models within large-scale simulation.
- Demonstrated accomplishment in team building, customer relations, technical marketing, and proposal writing.
- Tenacity to dig into challenging problems and find solutions using available resources.
Researcher – Atmospheric Sciences and Remote Sensing
Spectral Sciences, Inc. seeks a talented and highly motivated multidisciplinary researcher for work in environment and sensor modeling and data analysis algorithm development.
Job Description:
Typical projects may involve development of physical models of complex interactions of light and matter and sensor response, including radiative transfer models. Development of advanced algorithms for enhancement and exploitation of signals in clutter. Extraction of information from large datasets. Development of processing architectures and prototyping software. End products include realistic prediction of events and phenomenology, estimates of spatial, spectral, and temporal signatures, or detection, classification, and/or identification of signal features.
The ideal candidate for this position is comfortable working independently, and in small groups, to develop ideas that meet customer needs. They are highly motivated to solicit funding, write proposals and develop new ideas, and carry through phases of scientific software development from initial physical equations of phenomenology to demonstration pseudo-code to fully documented and tested large scale scientific software.
Qualifications:
- An MS or PhD degree in the physical sciences (physics, atmospheric sciences, image science, etc.), engineering (electrical, aerospace, etc.).
- Experience should include the development of fundamental physical models, data analysis algorithms, and/or sensor concepts involving geospatial remote sensing.
- A track record of written, oral, and interpersonal communications skills.
- US citizenship and ability to obtain a US Government Security Clearance are required.
Additional Considerations:
- Post-Doctoral and/or post-degree work experience.
- Experience programming in C/C++, Python and/or Fortran, shell scripting and Unix command line tools.
- Proficiency in current methods of mathematical modeling of physical phenomena.
- Experience in the development of scientific instrumentation and/or software.
- Familiarity with hyperspectral imaging, multispectral imaging, molecular spectroscopy and radiative transfer phenomena.
- Familiarity with spectral image processing methods, including processing to reflectance, chemometrics and/or detection and identification algorithms.
- Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data and deep learning concepts.
- Demonstrated accomplishment in team building, customer relations, technical marketing, and proposal writing.
- Tenacity to dig into challenging problems and find solutions using available resources.
Researcher – Remote Sensing and Imaging Developer
Spectral Sciences, Inc. seeks a talented and highly motivated multidisciplinary researcher for work in the areas of sensor system development and testing.
Job Description:
Typical projects may involve development of prototype electro-optical sensing system concepts designed to address sponsor applications. Define hardware and software requirements. Conduct performance analyses considering feasibility, complexity, manufacturability, and risk. Design, build and test prototypes in lab and field environments. End products include delivered prototypes, experimental results and opportunities for extension to commercial applications.
The ideal candidate for this position is comfortable working independently, and in small groups to develop ideas that meet customer needs. They are highly motivated to solicit funding, write proposals and develop new ideas, and carry through phases of instrument development from initial requirements to demonstration prototypes and fielded systems.
Qualifications:
- An MS or PhD degree in the physical sciences (physics, optics, image science, etc.), engineering (electrical, aerospace, mechanical etc.).
- Experience should include development of electro-optical and/or spectroscopic sensor concepts, design, fabrication and testing of instrumentation and development of data analysis algorithms for aerospace, industrial, or medical applications.
- A track record of written, oral, and interpersonal communications skills.
- US citizenship and ability to obtain a US Government Security Clearance are required.
Additional Considerations:
- Post-Doctoral and/or post-degree work experience.
- Familiarity with hyperspectral imaging, multispectral imaging, molecular spectroscopy and radiative transfer phenomena.
- Experience with optical and opto-mechanical design software.
- Experience with system calibration, field testing, verification of performance.
- Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data and deep learning concepts.
- Experience transitioning software to microprocessors, FPGAs, and/or GPUs.
- Experience programming in C/C++, Python and/or MATLAB, shell scripting and Unix command line tools.
- Demonstrated accomplishment in team building, customer relations, technical marketing, and proposal writing.
- Tenacity to dig into challenging problems and find solutions using available resources.