
Axiomatic AI is pioneering a new class of AI called Axiomatic Intelligence (AxI) that integrates formal verification with deep learning to produce verifiable, interpretable, and logically rigorous AI…

Axiomatic AI is pioneering a new class of AI called Axiomatic Intelligence (AxI) that integrates formal verification with deep learning to produce verifiable, interpretable, and logically rigorous AI…
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 work at the intersection of formal methods, AI, and scientific reasoning. This role is particularly well suited to PhD students interested in advancing AI for science and engineering and building tools that enable verification of scientific output.
Specifically, the internship focuses on pioneering research on automated verification of scientific reasoning, such as architecting AI agents capable of navigating complex mathematical formalization workflows, knowledge retrieval systems, and formal and informal verification.
Your mission
Key Requirements
Work model & location expectations Work Model On-site. Candidates are expected to be based at our Barcelona office.
Office location: Carrer d'Esteve Terradas, 1
08860 Castelldefels, Barcelona, Spain
Our office is located in the Mediterranean Technology Park, within a university campus environment—just 20 minutes by train from central Barcelona and a 15-minute walk from the beach.
Work Authorization Candidates must have (or be able to obtain) work authorization in one of our office locations.
Relocation support: Axiomatic will support relocation by covering temporary housing and travel to/from the office location during the transition period.
Hiring manager & interview process The Interview Process Consists Of Four Stages
Internship details You will work directly with and be mentored by a global team of multidisciplinary experts pushing the boundaries of AI-assisted physics formalization.
Type Paid internship
Duration 3–6 months (typically starting between June and September, depending on candidate availability)
Future Opportunities Successful interns may be considered for full-time roles following the internship.
Why join us?
At Axiomatic AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 30×30 mission. This is your opportunity to contribute to the development of new AI methodologies that improve scientific modeling, reasoning, and design. You will work on research questions with both theoretical depth and practical relevance, while collaborating with a global team of engineers, scientists, and AI specialists. We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, uncertainty-aware modeling, and scientific computation. If you're excited by technically demanding research and want to help shape the future of AI for engineering and hardware, we want to hear from you. Worried about not meeting every qualification? Studies show that women and people of color are less likely to apply for jobs unless they meet every listed requirement. At Axiomatic AI, we are dedicated to creating a diverse, inclusive, and authentic workplace. If this role excites you but your background doesn’t perfectly match every qualification, we still encourage you to apply. You could be the perfect fit for this position or another opportunity with us.
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Currently pursuing a PhD (preferred), or advanced Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Physics, or a related field
Strong proficiency in Python is required
Background in one of the following:
AI / machine learning (agentic AI, knowledge retrieval, graphs, LLMs, deep learning, etc.)
AI for science, especially in physics and other mathematically structured domains
Research Engineering / Software Engineering
Strong research skills and ability to work on open-ended technical problems
Strong analytical and communication skills
Ability to work independently while collaborating closely with researchers and engineers
Comfort working in a dynamic, fast-paced setting, thrives in ambiguity