苏黎世大学PhD position in computational chemistry申请条件要求-申请方

PhD position in computational chemistry
PhD直招2026秋季招满即止
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苏黎世大学
PhD直招介绍
Department of Chemistry Open PhD position in computational chemistry 80 % Start of employment by agreement A 4-year PhD student position is available in the Luber group at the Department of Chemistry at University of Zurich (Switzerland). Your responsibilities Our research operates at the interface of chemistry, biology, physics, and materials science, combining rigorous method development with impactful applications. We are particularly interested in strengthening our activities in (machine learning (ML)–enhanced) catalysis and spectroscopy. The project will focus on advanced computational method development together with forefront applications. Possible directions include, among others: (ML-assisted) approaches for enhanced sampling (ML-enhanced) vibrational and electronic spectroscopy Embedding approaches for complex and catalytic systems ML approaches for complex liquids/interfaces The precise topic will be defined in discussion with the successful candidate, based on their interests/input and expertise. The project offers close collaboration with experimental and computational groups e.g. within the NCCR Catalysis network, providing a highly interdisciplinary and stimulating research environment.
苏黎世大学Phd申请条件和要求都有哪些?PhD position in computational chemistry项目是不是全奖?有没有奖学金?下面我们一起看一下苏黎世大学申请Phd直招需要具备哪些条件和要求,以及托福、雅思语言成绩要到多少才能申请。
申请要求
Your profile The candidate must hold an excellent Master's degree in chemistry, interdisciplinary natural sciences, physics, or related, and have profound English and autonomous learning ability skills. The successful candidate will be highly creative, ambitious, and motivated. Strong programming skills and experience in electronic structure theory / (ab initio) molecular dynamics / catalysis / machine learning are highly desirable. We offer a vibrant, inspiring environment in a brand-new building with cutting-edge resources and research, access to world-leading supercomputers, and high-profile interdisciplinary collaborations. Funding for the participation at summer schools, conferences etc. is also available.
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