Senior Consultant - Computational Aerothermodynamics & Machine Learning

Role Description

Analytical Mechanics Associates (AMA) is seeking a highly specialized Subject Matter Expert to serve in a part-time, advisory capacity. This consultant will provide strategic technical guidance and expert review at the intersection of computational aerothermodynamics, advanced modeling and simulation (M&S), and machine learning (ML). Requiring a commitment of no more than 20 hours per month, this role is ideal for an established researcher, academic, or industry veteran looking to lend their expertise to cutting-edge aerospace challenges without a full-time commitment. The hourly rate for this position is $59-$69 an hour commensurate with experience and education.

Key Responsibilities

• Technical Advisory: Provide expert-level consultation on computational aerothermodynamics methodologies, physics-based modeling, and simulation strategies.
• Machine Learning Integration: Advise on the application and integration of machine learning algorithms (e.g., surrogate modeling, physics-informed neural networks, data-driven turbulence modeling) to enhance traditional CFD and aerothermodynamic workflows.
• Design & Architecture Review: Evaluate and provide feedback on the architecture of high-performance physical models and numerical methods.
• Strategic Roadmapping: Assist engineering teams in identifying emerging trends and state-of-the-art techniques in M&S and computational physics to maintain a competitive technical edge.
• Mentorship & Collaboration: Serve as a sounding board for senior engineers and developers, helping to troubleshoot complex physical and algorithmic challenges.

Qualifications

• Education: Ph.D. in Aerospace Engineering, Mechanical Engineering, Physics, or a strictly related computational discipline.
• Experience: A minimum of 5 years of active, post-Ph.D. professional experience specifically focused on computational aerothermodynamics, M&S, and ML.
• Domain Expertise: Deep foundational knowledge of hypersonic and supersonic flows, high-temperature gas dynamics, and advanced computational fluid dynamics (CFD).
• Machine Learning Proficiency: Proven track record of applying machine learning, deep learning, or advanced statistical modeling to complex fluid dynamics or thermodynamic problems.
• Communication: Exceptional ability to distill complex theoretical concepts into actionable engineering guidance.

Preferred Qualifications

• Familiarity with modern, high-performance software architecture, particularly the development of robust C++ libraries for CFD codes (e.g., providing complex gas properties).
• Experience with heterogeneous computing environments, including GPU acceleration and parallel programming models (e.g., OpenMP, CUDA, Kokkos).
• Deep knowledge of physics of high-enthalpy flows, including thermal radiation, chemical kinetics, and transport processes.
• History of peer-reviewed publications in relevant aerospace, physics, or computational science journals.

Requirements

• This position requires U.S. Citizenship or Permanent Residence.

Benefits

• Competitive salaries.
• Substantial benefits package, including but not limited to:
• Paid personal and federally recognized holiday leave.
• Salary deferrals into a 401(k)-matching plan with immediate vesting.
• Tuition reimbursement.
• Short/long term disability plans.
• A variety of medical, dental, and vision insurance options.