International jobs in Spain

Universidad de Deusto - Investigación

Job description

General call for Grants allocated to research projects or groups to pursue Doctoral Studies: RESEARCH GROUP, Chair of Computational Mathematics, DeustoTech, at the University of Deusto.

The University of Deusto, within the ERC Advanced Grant CoDeFeL project framework, invites applications for one (01) open doctoral research position in the Control for Deep and Federated Learning project.

Purpose of the position:

The Chair of Computational Mathematics at the University of Deusto (Bilbao, Basque Country, Spain) is dedicated to advancing research, training, and outreach in Applied Mathematics. Our team works actively in areas of Applied Mathematics and Machine Learning, developing methods of Mathematical and Computational Mathematics to model, understand, design, and control phenomena at the interface of Mathematics with Engineering, Physics, Environment, Climate Sciences, and Social Sciences.

Specifically, the project aims to push the mathematical foundations of Machine Learning beyond current frontiers, inspired by control theory. The project is developed in collaboration with the University of Deusto in Bilbao, Basque Country, Spain, led by Enrique Zuazua.

Functions:

We seek a doctoral researcher specialized in Control, Mathematics, or Machine Learning, with knowledge in Partial Differential Equations, Numerical Analysis, and computational skills for coding.

The candidate should be capable of addressing research challenges in the ERC CoDeFeL project and collaborating effectively within internal and external teams. Depending on experience, the candidate should be able to work independently and collaboratively in an international, interdisciplinary environment.

Project title:

Control for Deep and Federated Learning project. GA 101096251.

PI and/or project manager:

Professor

Contract details:

Competitive economic conditions to be specified.

Funding:

European Research Council (ERC).

Institutional values:

University of Deusto is committed to international standards, transparency, equal opportunity, inclusivity, support for underrepresented groups, an inclusive culture, and diversity.

The University of Deusto reserves the right, for justified reasons, to leave positions open, extend the application period, and consider candidates who submit applications after the deadline.

The university supports inclusion of people with disabilities and encourages applicants to indicate this condition if applicable, with a certificate of disability of 33% or higher.

Requirements

• Degree and Master in Applied Mathematics and/or Machine Learning.
• Advanced knowledge in scientific programming (R, Python, Matlab).
• Excellent command of English (oral and written) is mandatory.

Application process:

1. The University of Deusto conducts this call within the framework of the “General call for Grants for research projects or groups pursuing Doctoral Studies.” For more details, please click on the provided link.
2. Applicants must complete two steps:
3. Register at the (click on the blue "register" button).
4. Submit the application documentation, including:

a) Cover letter:

• Brief description of your Master thesis and results.
• Summary of previous research activities (if any).
• Explanation of how your expertise relates to the ERC CoDeFeL research topics.
• Your expectations from the doctoral position.

b) Curriculum Vitae: Include publications and preprints if available.

c) Reference contacts: List 2-3 professors with contact details who can provide references. Recommendation letters are not required at this stage.

d) Academic transcripts: Official transcripts of previous university studies, including degree details, subjects, grades, and dates. If completed abroad, include official certificates and sworn translations if necessary, along with the Spanish Ministry of Education evaluation certificate.

e) Proof of admission or enrollment: To a University of Deusto PhD program.

Application deadline:

Complete the form on the designated platform by September 10, 2025, at 23:59 local time.

Contact information is provided on the application platform.