PhD on Quantum Computing × AI for Optimization 100%

ETH Zürich; Zürich; Vor Ort; CHF 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Opportunity to collaborate with ETH faculty and IBM researchers

Access to state-of-the-art computational facilities

Freedom to develop research ideas

Zusammenfassung

ETH Zürich invites applications for a PhD position focusing on the intersection of quantum computing and artificial intelligence in Zürich, Switzerland. The successful candidate will work collaboratively with ETH and IBM researchers on innovative optimization strategies.

Applicants should have a Master’s degree in relevant fields and demonstrate strong coding, leadership, and collaborative skills. The position offers a unique chance to contribute to cutting-edge research in a dynamic environment.

Qualifikationen

• A Masters degree in physics, mathematics, applied mathematics, computer science, quantum computing, machine learning.
• Strong interest in theoretical or computational methods for optimization.
• Strong leadership and coding skills.

Aufgaben

• Research includes AI to learn parameters for quantum algorithms.
• Develop AI-driven methods for quantum optimization.
• Generate quantum samples to enhance classical AI solvers.

Kenntnisse

Theoretical or computational methods for optimization

Quantum computing

Machine learning

Coding skills

Leadership skills

Collaborative skills

Ausbildung

Masters degree in physics, mathematics, computer science, or related fields

Jobbeschreibung

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

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

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.

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 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).

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