Materials Informatics Research Scientist

Riverside Research is seeking a highly skilled and innovative Materials Informatics Research Scientist to join our advanced materials team. The successful candidate will utilize high-performance computing (HPC) and data-driven approaches to accelerate the discovery, design, and optimization of advanced composite materials. Research, develop, test, prototype, demonstrate and transition HPC and data-driven technologies that support the performance prediction of advanced composites materials in aerospace. This role involves working closely with interdisciplinary teams to apply computational methods and data analytics to solve complex material science problems.

Lead the technical direction with government and team, and mentor junior/mid-level staff.
• Develop and implement high-performance computing models and simulations to study the behavior and performance of advanced composite materials.
• Utilize data-driven techniques, including machine learning and artificial intelligence to analyze large datasets and extract meaningful insights for material design.
• Collaborate with material scientists, engineers, and data scientists to integrate computational and experimental data for comprehensive material understanding.
• Perform multi-scale modeling and simulation to link microstructural features with macroscopic properties.
• Design and execute computational experiments to predict material properties and guide the development of new composite materials.
• Analyze simulation and experimental data to validate model and improve their predicative accuracy.
• Prepare technical reports, presentations, and publications to communicate research findings.

Required Qualifications:

• Bachelor's degree in materials science, computational science, electrical engineering, or a related field with a focus on high-performance computing and data-driven research with 8 years of experience or 6 years with MS or 3 years with PhD.
• Must be eligible to obtain a Top Secret security clearance.
• 5+ years of experience in computational modeling and simulation of composite materials.
• Proven experience leading a technical project and team.
• Strong knowledge of high-performance computing platforms and software, such as MPI, OpenMP. CUDA, and related tools.
• Proficiency in data analytics, machine learning, and artificial intelligence techniques.
• Experience with multi-scale modeling and integration of different simulation methods.
• Excellent analytical and problem-solving skills with the ability to interpret complex data.
• Experience in collaborative research environment, working effectively with cross-functional teams.

Desired Qualifications:

• Experience in the aerospace, automotive, or renewable energy industries.
• Familiarity with materials characterization techniques and their integration with computational models.
• Experience with grant writing and securing funding for research projects.
• Capability to develop projects using a mixture of python, MATLAB, C, and data processing languages.