PhD position in astrochemistry and machine learning
We invite applications for a PhD position in astrochemistry and machine learning at the School of Physics at University College Dublin, Ireland. You will work with Dr Marie Van de Sande on the ERC Starting Grant ASHES on dust formation in the outflows of asymptotic giant branch (AGB) stars.
Stars like our Sun will go through an AGB phase near the end of their lives, losing their outer layers by means of a stellar outflow and enriching the interstellar medium with the building blocks for the next generation of stars and planets. To study how the chemistry is affected by the dynamics of the outflow, 3D hydrochemical models are essential. Machine learning is crucial to make this possible: by emulating, rather than calculating the chemistry, an on-the-fly hydrochemical model can finally be built.
You will optimise the proof-of-concept emulator MACE by postprocessing Phantom SPH models of AGB binary interactions. While generating the training dataset using snapshot models, you will already be able to determine how different binaries affect the outflow's chemistry. Coupling the emulator to Phantom, your on-the-fly hydrochemical model will then demonstrate how chemistry is affected by the dynamics. In the next stage, you will train the emulator on a novel chemical reaction network that includes dust formation. This will give us the first 3D and time-dependent overview of how dust formation is affected by AGB stars and their companions.
As part of ASHES, you will interact with all aspects of astrochemistry: chemistry, computational modelling, and astronomical observations. There are ample opportunities for attending conferences, workshops, and research stays. The project is suitable for a student with a degree in physics or astronomy who wants to build on their skills in coding (Python and Fortran), machine learning, data analysis and visualisation.
Application instructions
Applications should include a CV (including personal data, education, skills, and expertise), a one-page motivation letter, and the names and contact details of two references. Please send the documents to marie.vandesande@ucd.ie before 15 October 2026.
Inquiries
If you have any questions, contact marie.vandesande@ucd.ie.