Research Engineer - Composite Modeling

DCS Corp; Beavercreek, Northern (OH, KY); Hybrid; USD 100,000 - 140,000; Full time

Job summary

ARCTOS a DCS company seeks a research scientist or engineer to advance understanding of ceramic matrix composites in hypersonic/space environments. You will bridge experimental mechanics, diagnostics, and multiscale modeling to create novel testing frameworks and non-traditional modeling approaches.

Ideal candidates hold an MS/PhD in a related field, with strength in computational mechanics, FEA, and multidisciplinary collaboration. U.S.

Qualifications

• U.S. Citizenship is required due to sensitive program needs.
• MS or PhD in Materials Science & Engineering or a related field.
• Experience in engineering analysis, scientific computing, or computational mechanics is highly desirable.

Responsibilities

• Formulate advanced computational modeling strategies for CMCs with complex architectures.
• Develop novel mechanical testing methodologies for extreme environments.
• Correlate high‑resolution data with finite element models to predict failure.
• Establish design margins using physics-based, risk-informed approaches.
• Collaborate with processing teams to study manufacturing effects on defects.
• Present findings at conferences and briefing senior stakeholders.

Skills

Security clearance

Computational modeling

FEA

Python

MATLAB

C++

DIC

NDE

Education

MS/PhD in Materials Science and Engineering or related field

Tools

Abaqus

ANSYS

COMSOL

Job description

ARCTOS a DCS company is seeking a highly motivated research scientist or engineer to join our team supporting the AFRL/RE Composite, Ceramic, Metallic & Materials Performance Division. This position will lead efforts to fill critical gaps in the understanding of the behavior of ceramic matrix composites and translate that knowledge into models to predict performance and durability in extreme hypersonic and space operational environments.

The successful candidate will operate at the intersection of experimental mechanics, advanced diagnostics, and multiscale computational modeling. Working alongside materials development, processing, and characterization scientists, this individual will spearhead the development of novel testing frameworks and non-traditional modeling paradigms that overcome the limitations of legacy methods.

Essential Job Functions:

• The Research Engineer will collaborate with Government sponsors, research partners, and multi-disciplinary technical teams in the performance of the following duties:
• Formulate and implement advanced computational modeling strategies that move beyond classical continuum homogenization to account for thin-ply features, architectural complexity, and lack of length-scale separation.
• Develop and execute or guide novel mechanical testing methodologies tailored to complex CMC architectures, moving beyond legacy standards derived from metals and traditional polymer composites.
• Correlate high-resolution material characterization data (e.g., X-ray computed tomography, microstructural quantification) directly with finite element models and failure predictions.
• Establish progressive design and life-prediction methodologies that replace overly conservative, empirical knockdowns with physics-based, risk-quantified design margins.
• Collaborate with materials processing teams to assess how emerging manufacturing pathways influence defect distributions, geometric variation, and component structural integrity.
• Present findings at technical conferences, author technical reports and peer-reviewed publications, and brief senior stakeholders on technical progress and strategic impact.

Required Skills:

• Due to the sensitivity of customer related requirements, U.S. Citizenship is required.
• Able to obtain and maintain a U.S. Department of War Secret security clearance.
• M.S. or Ph.D. in Materials Science and Engineering, Mechanical Engineering, Aerospace Engineering, Engineering Mechanics, or a related technical field.
• 4 years of experience supporting engineering analysis, scientific computing, digital engineering, experimental thermomechanical testing, or computational mechanics is highly desirable.
• Experience supporting DoW, aerospace, or other configuration-controlled engineering programs is highly desirable.
• The well-qualified candidate will have expertise in several of the following areas:
  • Computational Modeling & Mechanics of Materials
  • Solid foundation in continuum mechanics, fracture mechanics, and damage mechanics.
  • Experience developing finite element analysis (FEA) models for heterogeneous or architected materials using commercial solvers (Abaqus, ANSYS, COMSOL) or research codes.
  • Expertise in mesoscale modeling, discrete-damage modeling, or multiscale mechanics.
  • Scripting and scientific computing proficiency (Python, MATLAB, C++, or Fortran) for automated model generation, data reduction, and scientific visualization.
  • Mechanical Testing & Advanced Characterization
  • Hands-on experience developing and/or executing thermomechanical material tests for extreme environments (thermal gradients, complex multiaxial stress states), preferably for ceramics or CMCs.
  • Expertise in full-field strain measurement techniques (2D/3D DIC).
  • In-depth understanding of non-destructive evaluation (NDE) and advanced characterization methods (e.g., micro-CT, synchrotron X-ray imaging, SEM/EDS, acoustic emission).
  • Design Methodologies & Systems Context
  • Familiarity with hypersonic thermal protection systems (TPS) or hot-structure concepts.
  • Appreciation for uncertainty quantification (UQ), sensitivity analysis, and probabilistic design frameworks.
  • Understanding of how component geometry, manufacturing defects, and processing variability influence structural performance and certification.

Desired Skills:

• The successful candidate should be:
• An agile, interdisciplinary thinker able to bridge the gap between hands-on laboratory experimentation and advanced computational mechanics.
• Enthusiastic in tackling unconventional problems that lack established textbook solutions.
• A strong communicator capable of articulating complex physical phenomena clearly to experimentalists, computational modelers, and program leadership.
• Self-motivated and comfortable driving research projects forward in collaborative, rapidly evolving R&D environments.