About Us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Please only apply to one internship position you feel most aligned with.

If we think you are better suited for another, we will communicate this to you.

Our internship opportunities are designed for students who want to apply what they’ve learned in their degrees to real engineering problems. You’ll work alongside simulation engineers, data scientists, machine learning engineers and research scientists on our projects, gaining hands-on experience and insight into how physical AI is developed and used in industry.

Who We're Looking For

As a Simulation Engineering Intern for fireAI group, you will join us over summer 2026 to develop automated CFD simulation workflows and generate high-fidelity datasets for machine learning applications in computational fire dynamics for AI-driven fire behavior predictions. This exciting opportunity will allow you to build end-to-end automation pipelines for fire dynamics using CFD, working with emerging fire hazards in energy storage and transportation infrastructure. Your work will be instrumental in creating datasets that power PhysicsX's next-generation AI-driven fire prediction tools, serving rapidly growing markets where fire hazard analysis is both a regulatory requirement and a critical design consideration.

You will gain hands-on experience working at the intersection of fire modeling and engineering, high-performance computing, and machine learning, while contributing to cutting-edge research that advances the field of computational fire modeling. Join us in this dynamic role, where your expertise will help establish critical fire modeling capabilities and push the boundaries of innovation in AI-driven fire safety analysis.

What You Will Do You will engage in the following activities and deliver key milestones throughout the internship:

What You Bring To The Table

Required

• Currently pursuing a PhD (or Masters) degree in Mechanical Engineering, Civil Engineering, Aerospace Engineering, Fire Protection Engineering, or related engineering field
• Strong experience with computational fluid dynamics software (CFD) and fire modeling tools
• Proficiency in Python programming for automation, data processing, and workflow orchestration
• Coursework or demonstrated knowledge in fire dynamics, heat transfer, fluid mechanics, and combustion
• Experience with Linux/Unix operating systems and command-line scripting
• Strong problem-solving skills and ability to work independently on technical challenges

Preferred

• Prior experience with CFD, and fire simulations using Fire Dynamics Simulator (FDS), ANSYS Fluent, Star CCM+, and/or OpenFOAM, and experience with visualization tools such as SmokeView, ParaView, and Blender
• Knowledge of fire behavior physics, thermal dynamics, and suppression strategies
• Familiarity with fire safety codes (IBC, IFC), standards (NFPA, SFPE), tests and research studies (FM Global, NIST, RISE, etc.)
• Experience applying data science and machine learning methods to real-world engineering applications, with a focus on driving measurable impact in industry settings
• Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, PyTorch, MLFlow) (note: no prior ML experience required)

Salary The estimated range for this position is $45 - 55 USD per hour. The total compensation will be determined by each individual's relevant qualifications, skills and work experience.

Applications will close 10 February 2026.

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.