Digital Twin & Surrogate Modelling Intern M/F

Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world's hardest problems. The quantum computer they 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 ability to implement quantum error correction autonomously. The company is a diverse team of 250+ people from over 35 countries united by the goal of building a practical fault-tolerant quantum machine. Candidates are encouraged to apply even if they only partially match the requirements.

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

Final year of a Master's degree (M2) or engineering school in physics, applied mathematics or scientific computing; Proficient in English; No professional experience required, 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; Access to a fully equipped and regularly stocked kitchen