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PhysicsX

Physics AI platform for industrial engineering

Head of Chemistry

Applied Machine LearningUpdated on Nov 14
Full-timeHybrid

About the Job

Requirements

  • A PhD in computational chemistry or computational materials science, or a PhD in a related field such as chemical engineering, materials science, electrochemistry, or applied physics, with substantial research in atomistic or multiscale modeling.
  • At least 6 years of deep technical work since completing the PhD, in industry or an industry-facing setting.
  • Hands-on depth in atomistic simulation and machine learning interatomic potentials.
  • Working knowledge of techniques at other scales, including molecular, mesoscale, phase-field, reactive flow, and process simulation.
  • Ability to connect multiple modeling scales, including identifying quantities that must carry between scales and when a surrogate can replace a simulation.
  • Experience applying these methods to real industrial problems and direct experience in relevant industries.
  • Experience leading and growing a team of at least five technical specialists, setting research and capability direction, hiring, and developing them.
  • Experience building and delivering a technical roadmap while prioritizing competing demands.
  • Ability to communicate decisions, options, and constraints to leadership, cross-functional teams, customers, and the team.
  • Willingness to travel to customer sites and PhysicsX offices, averaging 3–4 weeks per quarter, including internationally.

Responsibilities

  • Own chemistry capabilities across the company, including the team and technology.
  • Set technical direction and standards for chemistry across the company.
  • Direct the team building chemistry capabilities; work with Product to productize functionality and with Research to advance chemistry and AI.
  • Partner with industry leads so the roadmap delivers value to customers.
  • Work with Field Engineering leads to ensure appropriate staffing and support for customer projects, and grow the team with the right skill sets.
  • Serve as the hiring manager for the chemistry team across both capability and customer streams.
  • Represent chemistry in conversations with prospective customers; use customer and industry interactions to guide technical directions and determine how to support chemistry needs and which capabilities to use or develop.
  • Decide which machine-learning approaches for chemistry to build or adopt and how to couple them into continuum and systems-scale models.
  • Balance capability development with time spent with customers.
  • Stay hands-on enough to work deeply with the team on difficult technical problems.

Desired Qualifications

  • Recent experience at an AI-led materials company or a start-up, setting technical direction in a developing field and building an approach amid ambiguity.
  • A strong entrepreneurial orientation and motivation to build, lead, and grow initiatives with real responsibility and accountability.
  • Semiconductor, electrochemistry, or catalysis industry experience is particularly desirable.

About the Company

PhysicsX

Physics AI platform for industrial engineering

PhysicsX uses physics-based artificial intelligence for industrial engineering, combining machine learning with physics simulations to shorten design and operation cycles for aerospace, energy, and automotive sectors. Its platform replaces multi-day simulations with near-real-time models that predict performance, helping teams test ideas faster while reducing emissions and costs. It differs from competitors by delivering physics-driven AI with fast, scalable simulations tailored to large, complex industrial systems, supported by a slate of major investors and industrial partners. The company aims to speed up product development and drive broad adoption of physics AI across industrial sectors.

Company size
201-500
Company stage
Series C
Total funding
$487M
Headquarters
London, United Kingdom
Founded
2019

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