Välj din region

Välj den region som bäst passar din plats eller dina preferenser.

Välj ditt webbplatsspråk

Denna inställning styr språket för användargränssnittet, inklusive knappar, menyer och all text på webbplatsen. Välj ditt föredragna språk för bästa surfupplevelse.

Välj språk för jobbannonser

Välj de språk för jobbannonser du vill se. Denna inställning avgör vilka jobbannonser som visas för dig.

REALISE

REALISE

Flera platser Perugia, Italien
Hannover, Tyskland
Leuven, Belgien
Paris, Frankrike
Orléans, Frankrike
Budapest, Ungern
Paris, Frankrike
Ljubljana, Slovenien
Besök webbplats

Om arbetsgivaren

REALISE is a MSCA Doctoral Network that explores the opportunities, challenges, and risks of Artificial Intelligence in Igneous Petrology. It trains the next generation of Earth scientists and entrepreneurs in innovative approaches to petrological data acquisition, modeling, and interpretation using machine learning. It aims at “Deriving New Skills in Volcanic Hazard Assessment and the Economy of Critical Raw Materials”. The project explores key scientific questions about the physical, thermodynamic, and chemical evolution of magmatic systems, the enrichment and segregation of critical elements from magma, and their emplacement at different levels in the Earth’s crust.

REALISE will also train the Doctoral Candidates in the regulatory AI frameworks. For instance, the EU recently delivered the AI Act that divides AI applications by the associated risks, i.e., minimal, limited, high, and unacceptable.

Find Out More about REALISE

Doctoral Candidates

Fifteen Doctoral Candidates will receive systematic training and carry out research focused on four main objectives: applying machine learning to understand the lifecycle of magmas; integrating high-resolution analytical data to produce new petrological insights; combining physics and machine learning to develop advanced computational models; and exploring the use of generative AI, hypothesis formulation, and symbolic regression in petrology. The research will be applied to high-risk volcanic regions, as well as key sites for critical raw materials.

Liknande arbetsgivare

KU Leuven
KU Leuven Belgien 158 lediga jobb
Karolinska Institutet
Karolinska Institutet Sverige 87 lediga jobb
University of Luxembourg
University of Luxembourg Luxemburg 87 lediga jobb
Fraunhofer-Gesellschaft
Fraunhofer-Gesellschaft Tyskland 1 lediga jobb
Fler arbetsgivare

Intressanta artiklar

Relaterade jobb

PostDoc Researcher in the area of Machine Learning
PostDoc Researcher in the area of Machine Learning University of Applied Sciences and Arts of Southern Switzerland - SUPSI för 3 dagar sedan
PostDoc Researcher in the area of intelligent control of networked systems
PostDoc Researcher in the area of intelligent control of networked systems University of Applied Sciences and Arts of Southern Switzerland - SUPSI för 3 dagar sedan
Assistant Professor in Dynamics and Computational Design of High-Tech Systems
Assistant Professor in Dynamics and Computational Design of High-Tech Systems Eindhoven University of Technology för 1 vecka sedan
Forskare inom cellulär och molekylär toxikologi
Forskare inom cellulär och molekylär toxikologi Örebro University för 1 vecka sedan
Professorship (W 3) Media Informatics
Professorship (W 3) Media Informatics Bergische Universität Wuppertal (BUW) för 1 vecka sedan
Fler jobb