PhysicsX · 10 hours ago
Simulation Engineering Intern - Multiscale Material modelling
PhysicsX is a deep-tech company focused on accelerating hardware innovation through AI-driven simulation software for engineering and manufacturing. The intern will work on enhancing capabilities in multi-scale material modelling, developing continuum-scale and microscale models, and implementing optimization frameworks for material testing procedures.
AI InfrastructureArtificial Intelligence (AI)Information TechnologyMachine LearningSemiconductorSimulationSoftware
Responsibilities
Establish continuum-scale modelling framework by configuring ASTM-compliant testing procedures (tensile and fatigue) using existing CalculiX pipelines
Develop microscale stacking sequence models in NASMAT to simulate ply orientation effects and mechanical behaviour at the micro-structural level
Create automated coupling pipeline to seamlessly transfer stacking sequence computational outputs from NASMAT as direct inputs to CalculiX continuum-scale models
Train and calibrate multi-scale models using available literature benchmarks to ensure accuracy and reliability across length scales
Implement optimization algorithms to evaluate and identify optimal stacking sequences for various load cases and material testing scenarios
Validate computational framework by comparing results against published literature and quantifying potential reduction in required physical tests enabled by the modelling approach
Document methodology and results in technical reports detailing model development, validation procedures, and recommendations for future applications
Present findings to the engineering team, demonstrating the capability and efficiency gains achieved through the coupled multi-scale modelling approach
Qualification
Required
Currently pursuing a PhD (or Masters) degree in Mechanical Engineering, Civil Engineering, Aerospace Engineering, or a related field
Familiarity with Integrated Computational Materials Engineering (ICME) methodologies and multi-scale modelling approaches
Hands-on experience with any of the open-source numerical simulation platforms such as CalculiX, MOOSE or FEniCS and material modelling framework such as NASMAT
Proficiency in programming or scripting languages (e.g., Python) is mandatory
Comfort working in Linux/Unix environments and experience with high-performance computing (HPC) systems
Exposure to optimization algorithms and their application to engineering problems
Company
PhysicsX
PhysicsX offers an AI-native simulation software stack for engineering and manufacturing across advanced industries.
H1B Sponsorship
PhysicsX has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$187MKey Investors
NVenturesAtomicoGeneral Catalyst
2025-11-19Series B· $20M
2025-06-22Series B· $135M
2023-11-27Series A· $32M
Recent News
Tech Funding News
2025-11-08
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