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). 

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?

• 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  

• 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

We look forward to receiving your online application with the following documents:

• CV
• Academic transcripts
• A brief statement of research interests
• Names and contact information of at least two academic referees who are able to write reference letters upon request

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

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.