PhD on Quantum Computing × AI for Optimization

Location & Employment Type

100%, Zurich, fixed-term

Job Description

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 in collaboration with Stefan Woerner (Principal Research Scientist & Manager, Applied Quantum Science, IBM Research Europe - Zurich) and Juan Carrasquilla (Institute for Theoretical Physics, Department of Physics, ETH Zurich).

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 ripe with exciting and open questions. 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 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 Master's degree in physics, mathematics, applied mathematics, computer science, quantum computing, or machine learning
• Strong interest in the development of theoretical or computational methods for optimization, quantum computing, and machine learning
• Strong leadership skills
• Proficient coding skills
• Ability to collaborate positively with a diverse group of individuals from various backgrounds
• Capacity to work independently and collaboratively

Workplace

The position will be based in Zurich, where you will have access to state-of-the-art computational facilities and a supportive research atmosphere.

We Offer

• Freedom to develop your research ideas and skills
• Opportunity to collaborate with ETH faculty and IBM researchers, as well as internationally
• Mentorship opportunities with students
• A collaborative and supportive research environment
• Flexible work schedule defined in conjunction with the team

Diversity and Sustainability

ETH Zurich fosters an inclusive culture that promotes equality of opportunity, values diversity, and nurtures a respectful environment for all staff and students. We are committed to sustainability and constantly strive towards a climate-neutral future.

Apply Now

We look forward to receiving your online application using the form below.

Only applications matching the job profile will be considered.

About ETH Zurich

ETH Zurich is one of the world's leading universities specializing in science and technology. Renowned for excellent education and cutting-edge research, we are dedicated to translating new knowledge into societal benefits. Our institution, home to over 30,000 individuals from more than 120 countries, inspires independent thinking and excellence in various realms of expertise.