Research Data Scientist at PhysicsX

England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, Space, Additive Manufacturing, Electric Vehicles, Motorsport, RenewablesIndustries

Requirements

PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field
Specific expertise in operator learning (neural operators) or other probabilistic methods for PDEs
Specific expertise in geometric deep learning or other 3D methods
Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering
Ability to scope and effectively deliver projects
Strong problem-solving skills and the ability to analyze issues, identify causes, and recommend solutions quickly
Excellent collaboration and communication skills – with teams and customers alike

Responsibilities

Work closely with machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations
Build models to predict the behavior of physical systems using state-of-the-art machine learning and deep learning techniques
Own research workstreams at different levels, depending on seniority
Discuss the results and implications of your work with colleagues and customers, focusing on real-world problem solutions
Collaborate with colleagues beyond the research team to translate models into production-ready code
Communicate your work to others internally and externally, including writing for academic and non-academic audiences (e.g., paper publication venues, industry workshops, customer conversations)
Foster a nurturing environment for colleagues with less experience in DS/ML/Stats to grow and be mentored

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningProbabilistic MethodsData ScienceStatisticsPhysics SimulationsMathematical ModelingModel BuildingResearch

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What is the salary for this Research Data Scientist role?

This information is not specified in the job description.

What are the key requirements for this role?

Candidates need a PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, plus specific expertise in operator learning (neural operators) or probabilistic methods for PDEs, and geometric deep learning or other 3D methods.

What does the team collaboration look like?

You will work closely with machine learning engineers, simulation engineers, and customers, collaborate with colleagues beyond the research team, and foster a nurturing environment to mentor less experienced colleagues.

How should I apply for this position?

Apply for the role that best aligns with your skillset and career goals, as they are recruiting for multiple research data scientist positions.

PhysicsX

AI-driven simulation for advanced industries

About PhysicsX

PhysicsX enhances the design and operation of machines in advanced industries using artificial intelligence and simulation technologies, focusing on sectors like renewable energy, healthcare, and transportation. Their AI-driven simulations help clients, including medical device manufacturers and aerospace companies, improve efficiency and reduce emissions. The company operates on a project-based and long-term contract model, providing specialized services that lead to significant performance improvements. With a leadership team experienced in machine learning and engineering, PhysicsX aims to achieve engineering breakthroughs that positively impact society.

London, United KingdomHeadquarters

N/AYear Founded

$31.1MTotal Funding

SERIES_ACompany Stage

Energy, AI & Machine Learning, Aerospace, HealthcareIndustries

11-50Employees

Benefits

Company Equity

Paid Vacation

Parental Leave

Flexible Work Hours

Remote Work Options

Risks

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.

Differentiation

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.

Upsides

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.

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