The Digital Chemistry Laboratory at ETH Zurich invites applications for a Postdoctoral Researcher position focused on the development of machine learning potentials for chemical reactions. The successful candidate will work in an interdisciplinary environment at the intersection of chemistry and computer science, contributing to cutting-edge research aimed at accelerating chemical discovery.
Fact About The ETH Zurich
- Ranked among the top universities globally: ETH Zurich consistently ranks among the top universities in the world, including the QS World University Rankings and the Times Higher Education World University Rankings.
- Founded in 1855: ETH Zurich was founded in 1855 as the Swiss Federal Polytechnic School, with the goal of educating scientists and engineers to drive the country’s industrialization.
- Nobel Prize winners: ETH Zurich has produced 22 Nobel Prize winners, including Albert Einstein, who was a professor of theoretical physics at the university.
- Cutting-edge research: ETH Zurich is known for its cutting-edge research in fields such as artificial intelligence, robotics, and renewable energy.
- Strong industry connections: ETH Zurich has strong connections with industry partners, providing students with opportunities for internships, research collaborations, and job placements.
- International community: ETH Zurich has a diverse international community, with students and researchers from over 120 countries.
- Located in the heart of Europe: ETH Zurich is located in Zurich, Switzerland, providing easy access to other European cities and research institutions.
- State-of-the-art facilities: ETH Zurich has state-of-the-art facilities, including research laboratories, libraries, and computing infrastructure.
- Interdisciplinary approach: ETH Zurich takes an interdisciplinary approach to education and research, combining insights from science, technology, engineering, and mathematics (STEM) fields with those from the humanities and social sciences.
- Alumni network: ETH Zurich has a strong alumni network, with many graduates going on to become leaders in their fields, including science, technology, politics, and business.
Eligibility For 2025 Scholarship in Reactive Machine Learning At ETH Zurich
- PhD in Chemistry, Chemical Engineering, Computational Science, Materials Science, Physics, or related fields (or expectation of obtaining the degree before February 2025)
- Proficiency in English
- Strong self-motivation, independent work ability, and a solution-oriented mentality
- Collaborative mindset with experience working across disciplines
- Programming experience in languages such as Julia, Python, or R
Desirable Criteria For 2025 Scholarship in Reactive Machine Learning At ETH Zurich
- Experience in machine learning potential development
- Background in classical force field development
- Knowledge of reaction simulations
Description For 2025 Scholarship in Reactive Machine Learning At ETH Zurich
As a postdoc in the Digital Chemistry Laboratory, you will:
- Develop and validate machine learning potentials based on reaction data.
- Integrate classical reactive force fields into the machine learning potentials.
- Validate developed methods against significant chemical reactions.
- Contribute to the supervision of PhD and undergraduate students in the group.
How To Apply For 2025 Scholarship in Reactive Machine Learning At ETH Zurich
Interested candidates should submit their applications online, including:
- Cover letter
- Curriculum vitae with a publication list
- PhD degree certificate (if already available)
Note: Only applications submitted through the online application portal Before December 6, 2024 will be considered. Applications sent via email or postal services will not be reviewed.