PhD on Quantum Computing × AI for Optimization

Master in Integrated Building Systems ETH Zürich; Zürich; Vor Ort; CHF 55.000 - 65.000; Vollzeit

Zusammenfassung

ETH Zurich invites applications for a PhD position at the intersection of quantum computing and artificial intelligence, jointly with IBM Research Europe – Zurich. The PhD focuses on advancing optimization by combining quantum and AI approaches, exploring AI-driven quantum design, and generating quantum-enhanced features for classical solvers.

The role spans ETH Zurich and IBM Research Zurich, offering exposure to academic and industrial research environments.

Qualifikationen

• A Masters degree in physics, mathematics, applied mathematics, computer science, quantum computing or machine learning
• Strong coding skills and ability to work independently
• Ability to collaborate with diverse teams from different backgrounds

Aufgaben

• Work across ETH Zurich and IBM Research Zurich to advance quantum optimization and AI methods
• Develop AI-driven methods to discover quantum optimization algorithms
• Publish research findings and contribute to a collaborative research environment

Kenntnisse

Strong coding skills

Leadership skills

Collaboration

Independence

Ausbildung

Masters degree in physics, mathematics, applied mathematics, computer science, quantum computing, machine learning

Jobbeschreibung

100%, Zurich, fixed-term

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We invite applications for a PhD position at the intersection of quantum computing and artificial intelligence, focused on the challenge of advancing optimization through both technologies. The position is jointly in collaboration with Stefan Woerner (Principal Research Scientist & Manager, Applied Quantum Science, IBM Research Europe – Zurich) and by Juan Carrasquilla (Institute for Theoretical Physics, Department of Physics, ETH Zurich).

Job Description

You will have the opportunity to work across both ETH Zurich and IBM Research Zurich, benefiting from the synergy between academic and industrial research. The topic of the PhD position sits at the crossroads of quantum computing, machine learning, and combinatorial optimization — an area where some of the most exciting and open questions in the field live. Research directions include:

• Using AI to learn parameters and design circuits for quantum optimization algorithms (e.g., beyond QUBO formulations for QAOA)
• Developing AI-driven methods to discover quantum optimization algorithms
• Generating quantum samples to warm-start classical AI solvers, or to produce quantum-enhanced features and embeddings

The core questions driving this research are fundamental and timely: How can we ensure AI-discovered quantum algorithms are not classical in disguise? How can we generate large-scale, high-quality quantum training data? And how can we combine quantum computing and AI to achieve a measurable, real-world advantage?

Profile

• A Masters degree in physics, mathematics, applied mathematics, computer science, quantum computing, machine learning
• Strong interest in the development of theoretical or computational methods for optimization methods, quantum computing, and machine learning
• Strong leadership skills
• Strong coding skills
• Ability to collaborate and establish positive interactions with a widely diverse group of people from different backgrounds, countries, ethnicities, genders, etc.
• Ability to work independently and in collaboration

Workplace

We offer

• Freedom to develop your research ideas and skills
• Opportunity to collaborate with ETH faculty and IBM researchers, as well as internationally
• Mentor students
• Experience a supportive research atmosphere
• Define, jointly with the rest of the team, a work schedule that best fits your preferences and constraints
• Access to state-of-the-art computational facilities

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We value diversity and sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

Further information about ETH and IBM can be found on the following websites: ETH and IBM. Questions regarding the position should be directed to Juan Carrasquilla, [e-mail] and Stefan Woerner, [e-mail](no applications).

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting‑edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.