Postdoc Position in Reactive Machine Learning, ETH Zurich, Zurich, Switzerland

Postdoc Position at University of Zurich Switzerland
Postdoc Position in Reactive Machine Learning: 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.

Postdoc Position in Reactive Machine Learning Potentials

Designation

Postdoctoral Researcher

Location

ETH Zurich, Zurich, Switzerland

Research Area

  • Digital Chemistry
  • Machine Learning in Chemical Discovery
  • Reactive Machine Learning Potentials
DetailsInformation
WorkplaceETH Zurich, Institute of Chemical and Bioengineering
Position TypeFull-time, fixed-term
Contract DurationInitial contract for one year, with the possibility of extension up to three years
SalaryCompetitive, according to ETH standard

Eligibility/Qualification

  • 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:

  • Experience in machine learning potential development
  • Background in classical force field development
  • Knowledge of reaction simulations

Job Description

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

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 will be considered. Applications sent via email or postal services will not be reviewed.

Last Date to Apply

December 6, 2023

For further information, please visit the ETH Zurich website or follow the Digital Chemistry Laboratory on X/Twitter at @DCL_ETHZ. Direct inquiries regarding the position can be sent to Prof. Dr. Kjell Jorner at kjell.jorner@chem.ethz.ch.

Link

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