Digital Twin & Surrogate Modelling Intern M/F

Alice & Bob
Paris, France
HybridCareer-pivot friendly

Who this role is best for

Physics or applied mathematics students with numerical analysis expertise and open-source software experience will find this digital twin and surrogate modelling role in quantum computing in Paris.

Best fit for

  • Final-year M2 or engineering students with a strong background in numerical methods and scientific software development
    — “Final year of a Master's degree (M2) or engineering school in physics, applied mathematics or scientific computing”
  • Candidates with experience in data assimilation and uncertainty quantification
    — “Knowledge of data assimilation methods, including uncertainty quantification”
  • Individuals who can autonomously structure complex problems and communicate technical decisions clearly
    — “can structure an open-ended problem and make progress autonomously while keeping the team informed”

Things to consider

  • The role demands proficiency in JAX and Git, as well as software engineering practices
    — “Proficiency in Python, with strong experience in JAX”
  • Candidates should be prepared to work within a collaborative, interdisciplinary team environment
    — “Work with experimental and design teams to understand data and needs”

How to stand out

  • Highlight experience with reduced-order modelling and open-source simulation tools in your resume
    — “Knowledge of reduced-order modelling”
  • Emphasize your ability to independently structure and solve open-ended problems
    — “can structure an open-ended problem and make progress autonomously”
  • Showcase your experience with uncertainty quantification and data assimilation methods
    — “Implement data assimilation methods linking measurements to simulations”
  • Demonstrate your software development skills with Python and JAX in your portfolio
    — “Write clean, tested and documented code (Python / JAX) within the team's codebase”
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • develop and apply surrogate models
  • run and analyze simulations
  • develop scientific software
  • present results and methodological choices to the team
Typical background
Master's degree in physics, applied mathematics, or scientific computingsolid foundations in numerical analysis and numerical methodsknowledge of data assimilation methods

Skills & requirements

Required

Surrogate ModelsData Assimilation MethodsHigh-fidelity Simulation ToolsPythonJAXGitTestingDocumentationCI/CDVerification & Validation

Preferred

Bayesian InferencePyTorchTensorFlowDeep LearningQuantum PhysicsCircuit EngineeringAgentic Workflows

Stack & domain

PythonJAXGitTestingDocumentationCI/CDVerification & ValidationAutonomyCuriosityCommunicationQuantum ComputingScientific ComputingNumerical Simulation

About the role

Original posting from Alice & Bob via Lever

Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.

The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈‍⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!

We're a diverse team of 250+ brilliant minds from over 35 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together!

Responsibilities::

Develop and apply surrogate models   - Build fast approximations of high-fidelity simulations   - Assess their accuracy, uncertainty and domain of validity

Combine models and experimental data- Implement data assimilation methods linking measurements to simulations   - Quantify model and measurement uncertainties

Run and analyse simulations   - Use the team's high-fidelity simulation tools to generate and interpret results   - Compare simulation outputs with experimental data

Develop scientific software   - Write clean, tested and documented code (Python / JAX) within the team's codebase   - Contribute to the design of reusable components for a digital-twin framework

Communicate and collaborate   - Present results and methodological choices to the team   - Work with experimental and design teams to understand data and needs

Requirements::

A candidate with an interest in scientific software who can structure an open-ended problem and make progress autonomously while keeping the team informed.

  • EDUCATION: Final year of a Master's degree (M2) or engineering school in physics, applied mathematics or scientific computing
  • LANGUAGES: Proficient in English
  • EXPERIENCE: No professional experience required, since coursework and research projects can supply the skills above. A previous internship or research project in scientific computing or numerical simulation is appreciated.
  • Background in engineering
  • Solid foundations in numerical analysis and numerical methods
  • Knowledge of data assimilation methods, including uncertainty quantification
  • Knowledge of reduced-order modelling
  • Experience with open-source scientific simulation software
  • Proficiency in Python, with strong experience in JAX
  • Good software engineering practices, namely version control (Git), testing, documentation, CI/CD, and verification & validation (V&V)
  • Rigour, autonomy and curiosity, and the ability to explain technical choices clearly

Nice to have::

Statistics or Bayesian inference

Experience with PyTorch or TensorFlow

Deep learning

Quantum physics

Circuit engineering

Rigorous use of agentic workflows for scientific research and implementation

Benefits:

  • 1 day off per month
  • Half of transportation cost coverage (as per French law)
  • Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen

Research shows that women might feel hesitant to apply for this job if they don't match 100% of the job requirements listed. This list is a guide, and we'd love to receive your application even if you think you're only a partial match. We are looking to build teams that innovate, not just tick boxes on a job spec.

You will join of one of the most innovative startups in France at an early stage, to be part of a passionate and friendly team on its mission to build the first universal quantum computer!

We love to share and learn from one another, so you will be certain to innovate, develop new ideas, and have the space to grow.

Source: Alice & Bob careers (Lever)

Similar roles

More roles at Alice & Bob