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Santiago Aparicio

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Fundación Ramón Areces PhD Fellowships in Sciences of Life and Matter

PhD Opportunity in Multiscale Modelling and AI for Materials Design University of Burgos in Spain

Degree Level

PhD

Field of study

Computer Science

Funding

The post is a PhD opportunity supported through application to the 2026 Fundación Ramón Areces PhD Fellowships in Sciences of Life and Matter. Funding details are not specified in the post, but the fellowship is intended to support the PhD project in Spain.

Deadline

Oct 2, 2026

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Country

Spain

University

University of Burgos

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Keywords

Computer Science
Chemistry
Environmental Science
Chemical Engineering
Materials Science
Artificial Intelligence
Computational Chemistry
Molecular Dynamics
Computational Science
Multiscale Modeling
Physics
ML

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About this position

PhD opportunity in multiscale modelling, molecular simulation, artificial intelligence, and machine learning for materials design at the University of Burgos (ICCRAM), Spain.

The research group led by Prof. Santiago Aparicio is seeking highly motivated candidates to develop a PhD project at the interface of computational chemistry, materials science, and AI/ML, with a strong emphasis on environmental and sustainability applications. The exact PhD topic will be tailored to the selected candidate’s background and interests.

Preferred backgrounds: Chemistry / Physical Chemistry, Physics, Chemical Engineering and related fields, Materials Science, Chemical/Materials/Environmental Engineering, and Computational Science or closely related disciplines. Experience in computational chemistry, molecular simulation, programming, data science, or machine learning is welcome, but candidates who want to build these skills are also encouraged to apply.

Eligibility for the Ramón Areces 2026 call: a university degree of at least 240 ECTS; academic average strictly above 7.5/10; preference for candidates who obtained the qualifying degree between 2022 and 2026; admission to, or eligibility for admission to, a face-to-face PhD programme in Spain before the fellowship is formalised; and no prior PhD or predoctoral contract longer than six months.

Funding route: the group will support applications to the 2026 Fundación Ramón Areces PhD Fellowships in Sciences of Life and Matter. The post does not specify stipend or tuition details, but it is presented as a funded PhD fellowship pathway.

How to apply: contact Prof. Santiago Aparicio as soon as possible. Send a CV, academic transcript including average grade and ECTS, and a short statement of research interests. The deadline for the fellowship call is 2 October 2026.

Useful links: research profile, ICCRAM page, and Ramón Areces call are included in the post.

Funding details

The post is a PhD opportunity supported through application to the 2026 Fundación Ramón Areces PhD Fellowships in Sciences of Life and Matter. Funding details are not specified in the post, but the fellowship is intended to support the PhD project in Spain.

What's required

Applicants should have a university degree of at least 240 ECTS, an academic average strictly above 7.5/10, and preferably have obtained the qualifying degree between 2022 and 2026. They must be admitted to, or be able to be admitted to, a face-to-face PhD programme in Spain before the fellowship is formalised. Candidates must not already hold a PhD or have previously held a predoctoral contract for more than six months. Backgrounds in chemistry, physical chemistry, physics, chemical engineering, materials science, chemical/materials/environmental engineering, or computational science are preferred; experience in computational chemistry, molecular simulation, programming, data science, or machine learning is valuable but not mandatory.

How to apply

Contact Prof. Santiago Aparicio as soon as possible with a CV, academic transcript showing average grade and ECTS, and a short description of your research interests. The selected candidate will apply with the group’s support to the Ramón Areces 2026 fellowship call.

More information can be found here

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