Research Data Scientist at PhysicsX

New York, New York, United States

PhysicsX Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Aerospace, Additive Manufacturing, Electric Vehicles, Renewables, SpaceIndustries

Requirements

Candidates should possess a PhD in computer science, machine learning, applied statistics, or a related field, demonstrating enthusiasm for utilizing machine learning, particularly deep learning and probabilistic methods, for scientific and engineering challenges. Strong problem-solving skills and the ability to analyze issues, identify causes, and recommend solutions quickly are essential, along with excellent collaboration and communication skills for working with teams and customers.

Responsibilities

The Research Data Scientist will work closely with machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations, building models to predict the behavior of physical systems using state-of-the-art machine learning and deep learning techniques. They will own research workstreams, discuss results with colleagues and customers, collaborate with other teams to translate models into production-ready code, and communicate their work through publications, workshops, and customer conversations. Additionally, they will foster a nurturing environment for colleagues with less experience in data science and machine learning to grow and be mentored.

Skills

Machine Learning
Deep Learning
Probabilistic Methods
Problem-Solving
Communication
Collaboration
Mathematical Modeling

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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