Postdoctoral position automated scientific discovery, computational quantum many-body physics,

Postdoctoral position automated scientific discovery, computational quantum many-body physics, and machine learningThe Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for postdoctoral positionsto work at the intersection of computational quantum many-body physics, automated scientific discovery, andmachine learning.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 strongly correlated quantum systems and harness the power of both classical and quantum computing resources? Can we automate the scientific process leading to fundamental breakthroughs?Your work will encompass a diverse array of conceptsat the intersectionof artificial intelligence, condensed matter physics, and quantum computing.Thisposition isfull-time, with flexiblestarting dates in2025 and 2026.ProfileYou should have:Strong interest in the development oftheoretical or computational methods for quantum many-body systems, quantum computing,ormachine learning.Strong leadership skills.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.Desirable: Experience with large language models and automation.WorkplaceWe offerIn 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.Travel to conferences and collaborations.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:CVAcademic transcripts (optional)A statement of past and future research interestsNames and contact information ofat least twoacademic refereesPlease 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. #J-18808-Ljbffr