We are seeking a motivated part-time working student in computational chemistry to join our team. In this role, you will focus on simulating catalytic systems using a range of methods, including density functional theory (DFT), machine learning-based force fields, and (accelerated) molecular dynamics. You’ll be responsible for writing scripts to automate and manage calculations, executing them on our HPC infrastructure, and contributing to research efforts aimed at improving the alignment between computational models and experimental observations.
Your profile
We are looking for a candidate who generally fits the following profile:
Bsc. or Msc. Student in Chemistry, Physics, Informatics or related-fields
Solid understanding of chemistry and catalysis
Practical experience with running computational chemistry workflows, like DFT, MD and/or metadynamics simulations
Bonus: Programming experience in Python
Bonus: Some experience with Machine Learning
We offer the following benefits:
Design your own perks
Mentorship to help you grow into the roles you want
Dunia, meaning “world” in over 20 languages, reflects our global mission: to drive clean energy innovation in the hardest-to-decarbonize sectors. With cutting-edge physics AI technology, we’re accelerating breakthroughs in materials science to help reduce global CO2 emissions by billions of tons annually. Join us and make a real difference in a dynamic, impact-driven environment.
We strive to create a diverse and inclusive workplace where everyone feels welcome and safe to be their authentic self. Non-traditional career paths are welcome and valued. If you share our vision, you can be certain that we want you to succeed. You might be just the right candidate for this or for other roles that have not opened yet. Reach out!
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