Internship - Research (Uncertainty Quantification, Robust Design & Surrogate Modeling) (Barcelona)

Internship - Research (Uncertainty Quantification, Robust Design & Surrogate Modeling) (Barcelona)

05 ago
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Axiomatic-AI
|
Barcelona

05 ago

Axiomatic-AI

Barcelona

About us

Axiomatic AI is building a new class of AI systems designed to reason with the rigor of the scientific method. By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows.

Our mission, 30×30, is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030.

We aim to revolutionize hardware design and simulation in these industries and are building a team of highly motivated professionals to bring these innovations from research into commercial products.

Position overview

We are looking for a Research Intern to contribute to exploratory research projects related to uncertainty quantification (UQ), experimental design, robust design methodologies, and surrogate modeling. The exact project can be shaped based on the intern’s background and strengths,



but the overall focus will be on extending and improving methodological foundations that support scientific and engineering workflows.

This role is well suited to candidates with strong technical depth in probabilistic machine learning, Bayesian computation, and applied mathematical modeling. Depending on candidate fit, we may also consider a more specialized direction in neuromorphic computing in photonics.

Your mission

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Contribute to exploratory research on improvements and extensions to uncertainty quantification methodologies

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Support work on experimental design and robust design approaches for scientific and engineering applications

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Develop or evaluate surrogate modeling approaches for complex systems

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Collaborate with researchers to structure isolated but meaningful projects with clear learning and research value

Key requirements

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Currently pursuing a Master’s or PhD in Applied Mathematics, Computer Science, Physics, or a related field

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Strong proficiency in Pytho

📌 Internship - Research (Uncertainty Quantification, Robust Design & Surrogate Modeling) (Barcelona)
🏢 Axiomatic-AI
📍 Barcelona

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