15 fully funded PhD positions: 15 fully funded PhD positions are available as part of the Marie Curie Doctoral Training Network (MSCA-DN) REALISE, focusing on the intersection of igneous petrology and machine learning to address challenges in volcanology and critical metal deposits.
Marie Curie Doctoral Training Network – REALISE, USA
Designation
PhD Fellowships in Earth Sciences and Machine Learning
| Position Code | Title | Host Institution | Supervisor |
|---|---|---|---|
| DC1 | Deciphering the genesis of critical ore deposits | University of Perugia, Italy | Prof. Maurizio Petrelli |
| DC2 | Pre-eruptive dynamics at Campi Flegrei | University of Perugia, Italy | Prof. Maurizio Petrelli |
| DC3 | ML-assisted atomistic simulations | University of Perugia, Italy | Prof. Maurizio Petrelli |
| DC4 | Generative AI for super-resolution | Leibniz University of Hannover, Germany | Prof. Monika Sester |
| DC5 | Data-driven investigations of magma plumbing systems | Leibniz University of Hannover, Germany | Prof. François Holtz |
| DC6 | Multi-phase ML thermo-chemo-barometry | KU Leuven, Belgium | Prof. Olivier Namur |
| DC7 | AI-assisted characterization of LCT pegmatites | KU Leuven, Belgium | Prof. Anouk Borst |
| DC8 | AI for eruptive parameter estimations | Sorbonne University, France | Prof. Paola Cinnella |
| DC9 | ML analysis of hyperspectral data | Sorbonne University, France | Dr. Hélène Balcone-Boissard |
| DC10 | ML-assisted workflows for sulfide accumulation processes | CNRS/University of Orleans, France | Dr. Giada Iacono-Marziano |
| DC11 | AI-supported hypothesis formulation | CNRS/University of Orleans, France | Dr. Fabrice Gaillard |
| DC12 | Petrological monitoring & eruptive style forecasting | Eötvös Loránd University, Hungary | Dr. Réka Lukács |
| DC13 | ML for hypothesis formulation in silicic systems | Eötvös Loránd University, Hungary | Prof. András Lukács |
| DC14 | ML-based atomistic simulations of volcanic degassing | Institut de Physique du Globe de Paris, France | Prof. Razvan Caracas |
| DC15 | Large Language Models for automated data explanations | University of Ljubljana, Slovenia | Prof. Blaž Zupan |
Research Area
- Igneous Petrology
- Volcanology
- Critical Raw Materials
- Machine Learning and AI
Location
Various host institutions across Italy, Germany, Belgium, France, Hungary, and Slovenia.
Eligibility/Qualification
- No prior PhD degree at the time of recruitment.
- Must not have resided or engaged in main activities in the host country for more than 12 months within the 36 months prior to recruitment.
- Strong motivation for interdisciplinary research in Earth Sciences and ML/AI.
- Excellent English communication skills.
Description
Each position offers a fully funded 36-month PhD fellowship within the MSCA framework. Candidates will receive international secondments, advanced training, and competitive employment conditions. Remuneration includes a living allowance, mobility allowance, and family allowance (if eligible), adjusted by country coefficients.
How to Apply
Applications must be submitted via the detailed guidelines available on the project website: www.realise-dn.eu.
Last Date to Apply
March 31, 2026 (Positions will remain open until filled).
For comprehensive details on each position, please visit the project website.
