Digital Twin & Surrogate Modelling Intern M/F

Alice & Bob is hiring a Digital Twin & Surrogate Modelling Intern M/F in Paris, France. Level rates it ; you can apply on Alice & Bob.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
The posting mentions Python, machine learning and surrogate modelling among its tools and skills.
Level classes it as an internship.
Alice & Bob has 37 other open roles on Level.
Posted within the past week.

AI in this role

Investigate combining high-fidelity simulations, surrogate models and experimental data into a digital twin for quantum devices.

python

machine-learningsurrogate-modellingdata-assimilationsimulations

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!
PURPOSE OF THE ROLE

The intern will investigate whether high-fidelity simulations, fast surrogate models and experimental data can be combined into a digital twin of Alice & Bob's cat-qubit devices. As these devices scale up, the predictive accuracy of physical and numerical models becomes harder to guarantee, and measurements from chips in our cryostats can validate and refine the models.

Data assimilation is the general framework that combines simulations and experimental data: it updates model states from measurements, accounting for model and measurement uncertainties, so the models stay accurate as new observations arrive. High-fidelity simulations, however, are costly, which limits how many the team can run. Surrogate and multi-fidelity models ease this limit by delivering high-fidelity results at a fraction of the cost, and they integrate into data assimilation. Faster and more accurate simulations then let the team explore more scenarios within the same compute budget.

The intern will build a proof of concept on a representative use case, defined jointly with the team during the first weeks. The deliverables are a validated prototype and the methodological and technical building blocks of a future digital-twin framework. Reporting to the Scientific Computational Engineer, the intern will work with the Simulation Engine team and with the teams producing experimental data. This internship will start in February 2027 for a duration of 6 months!

How we rate this

Digital Twin & Surrogate Modelling Intern M/F at Alice & Bob rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Digital Twin & Surrogate Modelling Intern M/F is an open job at Alice & Bob.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Paris.
The job was posted on October 19, 2026.
Seniority: intern.
Applications are handled by Alice & Bob. Apply on Alice & Bob

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningSurrogate ModellingData AssimilationSimulationsPython

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where surrogate modelling was part of your work. What did you do?
Tell me about a project where data assimilation was part of your work. What did you do?
Tell me about a project where simulations was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Surrogate Modelling, Data Assimilation, Simulations, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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