Full-Time

Simulation Engineer

Chemical and Materials Specialist

Confirmed live in the last 24 hours

PhysicsX

PhysicsX

11-50 employees

AI-driven simulation for advanced industries

Energy
AI & Machine Learning
Aerospace
Healthcare

Junior, Mid

London, UK

This is a hybrid role, requiring some in-office presence.

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Python
Machine Learning
Java
C/C++

You match the following PhysicsX's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Expertise in the chemical processing and materials science industries
  • Strong understanding of chemical kinetics, thermodynamics, and transport phenomena
  • Experience in developing chemistry, chemical processing, and or materials science simulations
  • Experience with multiphase simulations and reacting flows
  • Deep knowledge in at least one of: applied/industrial chemistry, chemical engineering or materials science
  • Ability to scope and effectively deliver projects
  • Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
  • Excellent collaboration and communication skills - with teams and customers alike
  • 2-4 years’ experience in an applied research or industrial role
  • Setup and solving of complex chemical and materials problems
  • Ideally advanced Python coding skills
  • Expertise in model correlation and real-world validation
Responsibilities
  • Bring subject matter expertise in one or more of the fields of applied/industrial chemistry, chemical processing, and materials science
  • Work closely with our simulation experts, data scientists, machine learning engineers and clients to develop an understanding of the chemical and materials challenges that we can solve and accelerate
  • Setup, run and evaluate models to simulate and understand complex real world phenomena, using commercial simulation packages and Python code (we would consider applicants more familiar with compiled languages, such as Java or C++)
  • Research and apply state-of-the art approaches to integrating chemical and materials simulations into our client offering
  • Use on premise HPC and cloud resources to accelerate high fidelity models
  • Own the delivery of technical work streams
  • Work at the intersection of modelling and data science, generating highly accurate results and predictions in conjunction with advanced machine & deep learning models
  • Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption
Desired Qualifications
  • Keen interest in data science and machine learning approaches, and, ideally, experience in this area
  • Ideally advanced Python coding skills

PhysicsX enhances the design and operation of machines in advanced industries using artificial intelligence (AI) and simulation engineering technologies. The company serves clients in renewable energy, healthcare, and transportation, helping them create more efficient designs and processes, such as improving artificial hearts and reducing vehicle emissions. Unlike competitors, PhysicsX offers specialized AI-driven simulations tailored to specific industry needs, generating revenue through project-based work and long-term contracts. The goal is to unlock engineering breakthroughs that positively impact society and the environment.

Company Size

11-50

Company Stage

Series A

Total Funding

$31.1M

Headquarters

London, United Kingdom

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Siemens enhances PhysicsX's capabilities in AI-based aerodynamics simulations.
  • $32 million Series A funding boosts growth and research expansion for PhysicsX.
  • UK's AI market growth offers expansion opportunities for PhysicsX.

What critics are saying

  • UK's AI startup surge may dilute PhysicsX's market share.
  • Dependence on AWS poses data security and service reliability risks.
  • Rapid AI advancements require continuous innovation to avoid obsolescence.

What makes PhysicsX unique

  • PhysicsX uses AI to revolutionize machine design in climate and health sectors.
  • Their LGM-Aero model reduces aerospace concept development time from months to hours.
  • PhysicsX's Ai.rplane app offers public access to advanced aerodynamics tools.

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Benefits

Company Equity

Paid Vacation

Parental Leave

Flexible Work Hours

Remote Work Options

Company News

Defense Here
Dec 6th, 2024
Siemens and PhysicsX unveil AI-powered deep physics model for aerodynamics

PhysicsX has also launched Ai.rplane, a public-access technology demonstrator designed to provide a set of exploratory tools for aerodynamics and aircraft structures.

Daily CAD CAM
Dec 5th, 2024
Siemens, PhysicsX Collaborate to Build AI-based Deep Physics Simulation

PLANO, TX, USA, Dec 5, 2024 - Siemens Digital Industries Software announced today its ongoing collaboration with PhysicsX, a startup leveraging generative AI to enable breakthrough engineering in advanced industries.

Design Engineering
Dec 4th, 2024
PhysicsX launches GenAI for aero engineering, Ai.rplane app for aerostructures

PhysicsX launches genai for aero engineering, Ai.rplane app for aerostructures.

PR Newswire
Dec 4th, 2024
Physicsx Introduces Free-To-Use 'Ai For Advanced Engineering' To Transform Aerospace Development

PhysicsX releases the first Large Geometry Model, LGM-Aero, for aerospace engineering, trained and provisioned on Amazon Web Services (AWS) cloud compute using more than 25 million different shapes. It reduces the time to investigate aerospace concepts from months to hours. Trained and provisioned on AWS, LGM-Aero is a geometry and physics model pre-trained on a corpus of 25+ million meshes representing over 10 billion vertices, enabling dramatic reductions in aircraft concept development time. 'Ai.rplane' is a publicly accessible reference application built on LGM-Aero meant to showcase the power of the model for generating novel aircraft designs and predicting physics associated with aircraft performance, unveiled today at AWS re:Invent 2024 (2-6 Dec, Las Vegas)

Silicon Canals
Jun 17th, 2024
The Hottest Genai Startups From London You Need To Watch In 2024

Globally, the UK ranks third in terms of the number of AI companies and private capital investment in AI. It accounts for around half of all AI private capital investment in Europe. Every year, hundreds of new AI companies are established in the kingdom, which further contributes to the growth of the industry.The AI sector employs over 50,000 people and contributes more than £3.7B to the UK economy annually. Projections suggest that by 2035, the UK’s AI market’s contribution could rise to over £550B.The UK also hosted the world’s first AI Safety Summit last year. It brought together industry experts, academia, and civil society from the EU and 28 leading AI nations to agree on the Bletchley Declaration–a commitment to mitigate the risks associated with advanced AI.One subset of AI currently making waves is the generative AI. Using machine-learning algorithms to create new content, it does tasks such as content creation, artwork production, code debugging, and many more