The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for PhD positions to 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's long-term goal is 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.
Job descriptionIn this role, you will be at the forefront of addressing several fundamental questions including: How can we best simulate Hermitian and non-Hermitian strongly correlated quantum systems and harness the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of concepts at the intersection of artificial intelligence, condensed matter physics, and quantum computing.
You will dive deep into the realms of theoretical and computational physics with a focus on 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 to confront challenges within the domains of equilibrium and out-of-equilibrium properties of quantum many-body systems, quantum computing, and machine learning, where you'll have the opportunity to contribute to the advancement of our understanding and capabilities in these groundbreaking fields.
This position is full-time, with flexible starting dates in 2025 and 2026.
ProfileYou should have:
- A Masters degree in physics, mathematics, applied mathematics, or computer science.
- Strong interest in the development of theoretical or computational methods for quantum many-body systems, quantum computing, or 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 offerIn this role, you will:
- Have the freedom to develop your research ideas and skills.
- Have the opportunity to collaborate internally with other ETH faculty as well as internationally.
- Mentor students and interns.
- Experience a supportive group 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.
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