PhysicsX

About the Company

PhysicsX is a pioneering deeptech startup at the intersection of AI and engineering, dedicated to driving breakthrough innovations.

Born out of numerical physics and Formula One, PhysicsX pushes the boundaries of advanced computer-aided engineering (CAE), physics simulations, and machine learning to solve complex, high-impact challenges across design, manufacturing, and operational control. Serving industries such as Aerospace, Automotive, Materials, Energy & Renewables, and Semiconductors, PhysicsX empowers its clients with cutting-edge AI-driven solutions that optimize performance, accelerate development, and deliver exceptional results even in the most demanding environments.

We are currently recruiting for multiple positions, however, please only apply for the role that best aligns with your skillset and career goals.

Listed Jobs

Company Name

PhysicsX

Job Title

Data Scientist

Job Description

Job Title: Data Scientist Role Summary: Data Scientist in Delivery develops and deploys AI‑driven simulation models that enable engineering customers to optimize design, manufacturing and operational decisions. Collaborates closely with simulation and machine learning engineers and customers to translate complex physics challenges into production‑ready data science solutions. Expectations: - Minimum 1 year commercial industry experience after a Master’s or PhD. - Strong foundation in data‑driven modelling, deep learning, and probabilistic methods. - Proficient in Python and core scientific libraries (NumPy, SciPy, Pandas, TensorFlow, PyTorch). - Ability to design scalable, reproducible pipelines and deploy models in production environments. - Excellent communication skills for technical presentations and customer collaboration. - Willingness to travel to customer sites (≈2‑3 weeks per quarter). Key Responsibilities: - Pre‑process and analyze large datasets for predictive modelling. - Design, train, and evaluate deep learning models integrated with state‑of‑the‑art optimization techniques to predict/control physical system behavior. - Build and maintain reliable, scalable data pipelines for model training and inference. - Collaborate with simulation engineers to integrate models into simulation workflows. - Lead end‑to‑end data science work streams, ensuring quality, accuracy and business impact. - Contribute to internal R&D, refining models and identifying new application areas. - Present findings and solutions to technical teams and customers, facilitating onboarding and co‑development. Required Skills: - Python programming with NumPy, SciPy, Pandas, TensorFlow, PyTorch. - Probabilistic modeling and predictive analytics. - Deep learning model development and explainability. - Optimization algorithms and numerical methods. - Design and deployment of scalable data pipelines. - Strong analytical and problem‑solving abilities. - Clear written and verbal communication. Required Education & Certifications: - Master’s degree or PhD in Computer Science, Data Science, Applied Mathematics, Physics, or related discipline. - Demonstrated industry experience in a commercial, non‑research environment.

London, United kingdom

Hybrid

Fresher

04-12-2025

Company Name

PhysicsX

Job Title

Enterprise Security Engineer

Job Description

Job title: Enterprise Security Engineer Role Summary: Provide enterprise‑level security design, implementation, and operations for a deep‑tech company’s internal systems and SaaS infrastructure. Build and enforce zero‑trust policies, automate user lifecycle and SaaS hygiene, and collaborate with IT, Operations, and engineering to protect corporate assets. Expectations: * 10+ years in IT security, endpoint security, or corporate security engineering. * Proven experience deploying security tooling and building zero‑trust environments. * Automation‑driven mindset with hands‑on execution across multiple domains. * Strong cross‑functional partnership skills and incident response collaboration. Key Responsibilities: * Partner with IT, Operations, and engineering to secure onboarding/offboarding and conduct access reviews. * Harden and monitor corporate devices (MacOS, Windows, etc.) and enforce compliance with security policies. * Respond to and remediate internal security events and misconfigurations. * Automate user lifecycle management and SaaS security hygiene. * Deploy and manage enterprise security tools; mature vendor management processes. * Manage identity and access management (IAM) across SaaS apps, SSO, and internal systems. * Support IT and security incident response teams to maintain a secure corporate environment. Required Skills: * Experience deploying and configuring enterprise security tools and zero‑trust architectures. * Practical knowledge of endpoint and network security principles. * Hands‑on experience automating IT workflows; comfortable with scripting/automation tools. * Proficiency with Microsoft Entra, SSO/SAML, and device management solutions. * Strong communication and collaboration abilities across technical and non‑technical teams. Required Education & Certifications: * Relevant bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or equivalent professional experience. * Certifications such as CISSP, CISM, or CompTIA Security+ are preferred. * Experience with SOC 2 or ISO 27001 implementation is a plus.

London, United kingdom

On site

Senior

27-01-2026

Company Name

PhysicsX

Job Title

Simulation Engineering Intern - Aircraft Icing CFD

Job Description

Job Title: Simulation Engineering Intern – Aircraft Icing CFD Role Summary: Deliver an open‑source 3D aerodynamic/machine‑learning benchmark dataset for aircraft icing. Own end‑to‑end simulation workflows, from geometry generation to data extraction, and collaborate with cross‑functional teams to prepare ML‑ready datasets. Expactations: Complete a full simulation pipeline, analyze datasets for ML training, publish documentation, and present results to the team. Key Responsibilities: - Evaluate and select icing‑simulation and CFD tools for dataset creation. - Design a parametric lifting‑surface geometry generator in CAD. - Develop a Design of Experiments covering icing, flight, atmospheric, and geometric variables. - Configure and run HPC‑based CFD campaigns integrating ice accretion and aerodynamic calculations. - Build automated data‑processing pipelines to compute aerodynamic coefficients, pressure maps, ice‑shape metrics, and performance indicators. - Prepare standardized dataset documentation (methodology, validation, format, references). - Collaborate with data scientists and ML engineers to align simulation outputs with ML data quality needs. - Author technical notes on simulation procedures, automation scripts, and physics rationale. - Present findings internally and contribute to potential research publications. Required Skills: - Strong foundation in CFD theory, methodologies, and workflow design. - Proficient in Python, Bash, and Java for automation and data analysis. - Experienced with Linux/Unix command‑line scripting. - CAD design skills for geometry generation. - Analytical mindset with meticulous attention to detail. - Excellent written and verbal communication. - Ability to work independently and as part of a multidisciplinary team. Required Education & Certifications: - Current Ph.D. or Master’s degree candidate in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline.

Manhattan, United states

Hybrid

Fresher

03-02-2026

Company Name

PhysicsX

Job Title

Simulation Engineering Intern - Fire CFD

Job Description

Job title: Simulation Engineering Intern – Fire CFD Role Summary: Develop automated CFD simulation workflows and generate high‑fidelity datasets for AI‑driven fire dynamics research. Work on cloud‑based HPC pipelines, post‑processing, and collaboration with data scientists to support machine‑learning surrogate models. Expectations: Complete automation pipelines for geometry, simulation, and post‑processing; deliver clean, annotated datasets; assist in model validation; produce technical documentation and potential research outputs. Key Responsibilities - Design parametric geometry generation for fire test cases. - Build design‑of‑experiments simulation pipelines for diverse fire scenarios (ignition, heat release, suppression). - Configure and submit large‑scale CFD runs on cloud HPC, monitor job batches. - Automate post‑processing to extract temperature, smoke, toxic gas, heat flux, and egress metrics. - Structure simulation outputs for ML training, validate data quality with ML team. - Create high‑fidelity datasets for surrogate model development. - Review and document simulation practices, benchmark studies, and fire safety standards. - Draft technical documentation and support research publication. Required Skills - Proficient in Python (automation, data processing, workflow orchestration). - Strong knowledge of CFD and fire modeling software. - Experience with Linux/Unix, command‑line scripting. - Solid understanding of fire dynamics, heat transfer, fluid mechanics, combustion. - Familiarity with HPC batch systems and cloud infrastructure. Required Education & Certifications - Currently enrolled in PhD or Master’s program in Mechanical, Civil, Aerospace, Fire Protection Engineering, or related field. (Word count: ~170)

Manhattan, United states

Hybrid

Fresher

03-02-2026