PhD positions in computational quantum many-body physics, machine learning, non-Hermitian systems

PhD positions in computational quantum many-body physics, machine learning, non-Hermitian systems

The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for PhD positionsto work at the intersection of computational quantum many-body physics, machine learning, quantum computing, and non-Hermitian systems.

In the wake of quantum mechanics' initial breakthroughs, we're on the brink of a second quantum revolution. Quantum physicists are adopting machine learning to explore complex quantum systems, opening doors to advancements in fields like materials science and quantum chemistry. Similarly, quantum physicists are exploring the use of quantum effects to advance machine learning. Our lab'slong-term goalis to advance these areas and extend the applicability of machine learning ideas to the solution of critical problems in quantum many-body physics with ramifications in condensed matter theory, machine learning, quantum materials, chemistry, as well as quantum technology.

In this role, you will be at the forefront of addressing severalfundamental questions including:How can we bestsimulate Hermitian and non-Hermitianstrongly correlated quantum systems and harness the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physicsto develop cutting-edge machine learning? Your work will encompass a diverse array of conceptsat the intersectionof artificial intelligence, condensed matter physics, and quantum computing.

Youwilldivedeep into the realms of theoretical and computational physics with a focuson the development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and tensor networks. These and other techniques will allow us toconfrontchallenges within the domains of equilibrium and out-of-equilibrium properties of quantum many-body systems, quantum computing, and machine learning, whereyou'll have theopportunity to contribute to the advancement of our understanding and capabilities in these groundbreaking fields.

Thisposition isfull-time, with flexiblestarting dates in2025 and 2026.

Profile

You shouldhave:

• A Masters degree in physics, mathematics, applied mathematics, or computer science.
• Strong interest in the development oftheoretical or computational methods for quantum many-body systems, quantum computing,ormachine learning.
• Strong leadershipskills.
• Ability to collaborate and establish positive interactionswith a widelydiverse group of people from different backgrounds, countries, ethnicities, genders, etc.
• Ability to work independently and in collaboration.

Workplace

We offer

In this role, you will:

• Have the freedomto develop your research ideas and skills.
• Have the opportunity to collaborate internally with other ETH faculty as well asinternationally.
• Mentor students and interns.
• Experience a supportivegroup atmosphere.
• Define, jointly with the rest of the group, a work schedule that best fits your preferences and constraints.
• Have access to state-of-the-art computational facilities.

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 ofat least twoacademic referees who are able to write reference letters upon request.

Please note that we exclusively accept applications submitted through our online application portal.Review of applications will begin immediately and the positions will remain open until filled.

For further information regarding the position and the group please contact Prof. Juan Carrasquillajcarrasquill@ethz.ch (no applications).

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