PhD Researcher in Neural Network-based Modeling for Molecule and Material Design

1 week geleden


Amsterdam, Noord-Holland, Nederland Universiteit van Amsterdam Voltijd
Job Description

This is a PhD research position in the field of computational chemistry, focusing on developing and applying state-of-the-art computational frameworks for studying electro-catalytic reactions and designing improved catalyst materials.

Key Responsibilities:
  • Develop a protocol for setting up, training, and applying neural network potential-based molecular dynamics simulations for catalyst screening.
  • Develop and apply machine learning techniques, such as Collective Variable Free Sampling of Molecular Transition Paths, to obtain reaction free landscapes.
  • Improve the integrated models for investigation of electron and proton transfer reactions at catalyst materials.
  • Propose new catalyst materials, working conditions, and experiments to collaborators.
Requirements:
  • A Master's degree in science, preferably in chemistry, chemical engineering, physics, engineering physics, materials science, computational science, or artificial intelligence with a specialization in natural science.
  • Experience with molecular simulation is preferred.
  • Experience with machine learning is preferred.
  • Good programming skills.
  • Excellent communication skills in oral and written English.
  • Strong initiative and good time management skills.
What We Offer:
  • A temporary contract for 38 hours per week for the duration of four years.
  • A gross monthly salary ranging from €2, in the first year to €3, in the last year.
  • A favourable tax agreement, the '30% ruling', may apply to non-Dutch applicants.
  • A complete educational program for PhD students.
  • Multiple courses on topics such as leadership for academic staff and time management.
Working at the Universiteit van Amsterdam:

The Universiteit van Amsterdam is a vibrant and challenging environment at Science Park. We offer a wide range of benefits, including holiday hours, extra holidays between Christmas and 1 January, and a complete educational program for PhD students.



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