Dear Colleagues,
I would like to draw your attention to the following fully funded PhD
position hosted at Eötvös Loránd University (ELTE, Hungary) within the
Marie Skłodowska‑Curie Doctoral Network REALISE. I would be grateful if you
could circulate this announcement among interested MSc students and
early‑career researchers.
*PhD Position hosted at Eötvös Loránd University (ELTE, Hungary) within the
Marie Skłodowska‑Curie Doctoral Network REALISE *
Petrological Monitoring & Eruptive Style Forecasting in Open‑Vent Volcanoes
(Etna)
(DC12 – REALISE Doctoral Network)
Host Institution: Eötvös Loránd University (Hungary)
Main Supervisor: Dr. Réka Lukács (ELTE)
Co‑Supervisors:
- Rosa Anna Corsaro (INGV, Italy)
- Chiara Cristiani (Italian Civil Protection Department)
Secondments:
- University of Ljubljana (Slovenia)
- Italian Civil Protection Department (Italy)
Project Objectives
This PhD project aims to investigate the potential of machine learning
(ML), including generative AI approaches, for modelling petrological data
in near real‑time volcanic monitoring scenarios.
The main objectives are to:
- Correlate petrological signals with geophysical and geochemical
monitoring data;
- Develop rapid and robust ML‑based workflows for multimodal data
integration;
- Implement AI‑driven data summarization and pattern recognition;
- Ultimately contribute to forecasting eruptive intensity and style
modulations.
The research will focus on open‑vent volcanic systems, particularly Mt.
Etna, which provides an exceptional long‑term dataset of petrological,
geophysical, and geochemical observations.
REALISE - Bridging Igneous Petrology and Machine Learning for Science and
Society
About the REALISE Doctoral Network
REALISE will train 15 Doctoral Candidates at the interface of igneous
petrology, volcanology, critical raw materials, and machine learning / AI.
The network combines advanced petrological observations and multimodal
analytical data with modern ML (including physics-informed and generative
AI approaches) to improve:
- Volcanic hazard assessment and risk mitigation, and
- The understanding and exploration of critical raw materials in
magmatic systems.
Doctoral projects address magma lifecycle processes, multimodal data
fusion, physics–ML hybrid modelling (from CFD to atomistic simulations),
and AI-assisted hypothesis formulation.
MSCA Doctoral Candidate eligibility criteria
Applicants must comply with the Marie Skłodowska-Curie Doctoral Network
eligibility rules, including:
- Applicants must not hold a PhD degree at the time of recruitment.
- At the time of recruitment, the applicant must not have resided or
carried out their main activity (work, studies, etc.) in the host country
for more than 12 months in the 36 months prior to the recruitment date.
Other requirements
- Applicants must meet the doctoral admission requirements of the
recruiting host institution.
- Excellent motivation for interdisciplinary research combining Earth
Sciences and ML/AI is expected.
- Strong English communication skills are required.
Overview of the Doctoral Candidate positions
Each position is a fully funded 36-month PhD fellowship within the MSCA
framework and includes international secondments, advanced training, and
competitive employment conditions according to MSCA rules.
Application Deadline
First call deadline: 31 March 2026
(Positions remain open until filled.)
More information & application details:
🔗 https://euraxess.ec.europa.eu/jobs/401548#additional-information
🌐 https://www.realise-dn.eu
Thank you very much for sharing this opportunity with potential candidates.
Best regards,
Réka Lukács
Lukács, Réka / Haranginé Lukács, Réka
PhD (ELTE), DSc (MTA)
Group leader
MTA–HUN-REN CSFK Lendület "Momentum" PannonianVolcano Research Group, Institute
for Geological and Geochemical Research, HUN-REN Research Centre for
Astronomy and Earth Sciences, Budapest, Budaörsi út 45, H-1112, Hungary
Eötvös University of Budapest, Department of Petrology and Geochemistry,
lecturer
Kutatócsoport vezető
MTA–HUN-REN CSFK Lendület PannonVulkán Kutatócsoport, Földtani és Geokémiai
Intézet, HUN-REN Csillagászati és Földtudományi Kutatóközpont, 1112,
Budapest, Budaörsi út 45.
ELTE TTK FFI Kőzettan-Geokémia Tanszék, óraadó
Tel: (361-)309-2600/1112, Fax: (361-)319-3137
e-mail: lukacs.reka@csfk.org, reka.harangi@gmail.com;
reka.zsuzsanna.lukacs@ttk.elte.hu
web: https://pannonvulkan.hu/ , http://www.geochem.hu/ ,
https://vulkanologia.elte.hu/
Fiatal Kutatók Akadémiájának vezetőségi tagja (https://fka.mta.hu/)
Executive Board Member of the Hungarian Young Academy (
https://fka.mta.hu/en/)
Dear Colleagues,
I would like to draw your attention to the following fully funded PhD
position hosted at Eötvös Loránd University (ELTE, Hungary) within the
Marie Skłodowska‑Curie Doctoral Network REALISE. I would be grateful if you
could circulate this announcement among interested MSc students and
early‑career researchers.
*PhD Position hosted at Eötvös Loránd University (ELTE, Hungary) within the
Marie Skłodowska‑Curie Doctoral Network REALISE *
Petrological Monitoring & Eruptive Style Forecasting in Open‑Vent Volcanoes
(Etna)
(DC12 – REALISE Doctoral Network)
Host Institution: Eötvös Loránd University (Hungary)
Main Supervisor: Dr. Réka Lukács (ELTE)
Co‑Supervisors:
- Rosa Anna Corsaro (INGV, Italy)
- Chiara Cristiani (Italian Civil Protection Department)
Secondments:
- University of Ljubljana (Slovenia)
- Italian Civil Protection Department (Italy)
Project Objectives
This PhD project aims to investigate the potential of machine learning
(ML), including generative AI approaches, for modelling petrological data
in near real‑time volcanic monitoring scenarios.
The main objectives are to:
- Correlate petrological signals with geophysical and geochemical
monitoring data;
- Develop rapid and robust ML‑based workflows for multimodal data
integration;
- Implement AI‑driven data summarization and pattern recognition;
- Ultimately contribute to forecasting eruptive intensity and style
modulations.
The research will focus on open‑vent volcanic systems, particularly Mt.
Etna, which provides an exceptional long‑term dataset of petrological,
geophysical, and geochemical observations.
*REALISE - Bridging Igneous Petrology and Machine Learning for Science and
Society*
About the REALISE Doctoral Network
REALISE will train 15 Doctoral Candidates at the interface of igneous
petrology, volcanology, critical raw materials, and machine learning / AI.
The network combines advanced petrological observations and multimodal
analytical data with modern ML (including physics-informed and generative
AI approaches) to improve:
- Volcanic hazard assessment and risk mitigation, and
- The understanding and exploration of critical raw materials in
magmatic systems.
Doctoral projects address magma lifecycle processes, multimodal data
fusion, physics–ML hybrid modelling (from CFD to atomistic simulations),
and AI-assisted hypothesis formulation.
MSCA Doctoral Candidate eligibility criteria
Applicants must comply with the Marie Skłodowska-Curie Doctoral Network
eligibility rules, including:
- Applicants must not hold a PhD degree at the time of recruitment.
- At the time of recruitment, the applicant must not have resided or
carried out their main activity (work, studies, etc.) in the host country
for more than 12 months in the 36 months prior to the recruitment date.
Other requirements
- Applicants must meet the doctoral admission requirements of the
recruiting host institution.
- Excellent motivation for interdisciplinary research combining Earth
Sciences and ML/AI is expected.
- Strong English communication skills are required.
Overview of the Doctoral Candidate positions
Each position is a fully funded 36-month PhD fellowship within the MSCA
framework and includes international secondments, advanced training, and
competitive employment conditions according to MSCA rules.
Application Deadline
First call deadline: 31 March 2026
(Positions remain open until filled.)
More information & application details:
🔗 https://euraxess.ec.europa.eu/jobs/401548#additional-information
🌐 https://www.realise-dn.eu
Thank you very much for sharing this opportunity with potential candidates.
Best regards,
Réka Lukács
---------------------------------------------------------------------------------------------------
Lukács, Réka / Haranginé Lukács, Réka
PhD (ELTE), DSc (MTA)
Group leader
MTA–HUN-REN CSFK Lendület "Momentum" PannonianVolcano Research Group, Institute
for Geological and Geochemical Research, HUN-REN Research Centre for
Astronomy and Earth Sciences, Budapest, Budaörsi út 45, H-1112, Hungary
Eötvös University of Budapest, Department of Petrology and Geochemistry,
lecturer
Kutatócsoport vezető
MTA–HUN-REN CSFK Lendület PannonVulkán Kutatócsoport, Földtani és Geokémiai
Intézet, HUN-REN Csillagászati és Földtudományi Kutatóközpont, 1112,
Budapest, Budaörsi út 45.
ELTE TTK FFI Kőzettan-Geokémia Tanszék, óraadó
Tel: (361-)309-2600/1112, Fax: (361-)319-3137
e-mail: lukacs.reka@csfk.org, reka.harangi@gmail.com;
reka.zsuzsanna.lukacs@ttk.elte.hu
web: https://pannonvulkan.hu/ , http://www.geochem.hu/ ,
https://vulkanologia.elte.hu/
Fiatal Kutatók Akadémiájának vezetőségi tagja (https://fka.mta.hu/)
Executive Board Member of the Hungarian Young Academy (
https://fka.mta.hu/en/)