**Job Description**
This postdoctoral position at the University of Amsterdam focuses on using advanced Machine Learning techniques to predict the anharmonic vibrational spectra of large Polycyclic Aromatic Hydrocarbon (PAH) molecules, which are widespread in astronomical environments. The project is a collaboration between the groups of Dr. Alessandra Candian, Dr. Daniela Huppenkothen (API), and Prof. Wybren Jan Buma (HIMS), funded by the Molecular and Materials design program (MMD Hub). The role aims to apply machine learning to overcome the computational expense of calculating anharmonic spectra for large PAHs.
**Skills & Abilities**
• Committed researcher, demonstrated by previous research experiences, publications and presentations at international conferences
• Experience with using neural networks and topological descriptors for molecules or materials
• Excellent communication and writing skills in English
• Ability to work both independently and collaboratively in a multidisciplinary environment
**Qualifications**
Required Degree(s) in:
• Chemistry
• Physics
• Astronomy
• Computer Science
• A related field
**Experience**
Other:
• Previous research experiences, publications and presentations at international conferences
• Experience with using neural networks and topological descriptors for molecules or materials
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