PhD in Applied Mathematics, Chair of Computational Mathematics, DeustoTech

Universidad de Deusto.; Bilbao; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading research university in Bilbao seeks a doctoral researcher to work on the ERC CoDeFeL project focusing on Control for Deep and Federated Learning. Candidates should have a master's in Applied Mathematics or Machine Learning, advanced programming skills in R, Python, or Matlab, and proficiency in English. Competitive economic conditions apply. The application deadline is September 10, 2025.

Formación

• Advanced knowledge in scientific programming is essential.
• Candidate should collaborate effectively with teams.
• Independent work in an interdisciplinary environment is expected.

Responsabilidades

• Address research challenges of the ERC CoDeFeL project.
• Collaborate with internal and external teams effectively.

Conocimientos

Expertise in Control, Mathematics, and/or Machine Learning

Knowledge of Partial Differential Equations

Scientific programming (R, Python, Matlab)

Excellent command of English

Educación

Degree and master's in Applied Mathematics and/or Machine Learning

Descripción del empleo

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 at the ERC CoDeFeL 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 various aspects of Applied Mathematics. Our team actively works in Applied Mathematics and Machine Learning, developing and applying methods of Mathematical and Computational Mathematics to model, understand, design, and control phenomena at the interface of Mathematics, Engineering, Physics, Environment, Climate Sciences, and Social Sciences.

Specifically, CoDeFeL aims to make breakthroughs that extend the mathematical foundations of Machine Learning beyond current frontiers through the systematic development of new ideas and methods inspired by control theory. The project is led by the Chair for Dynamics, Control, Machine Learning, and Numerics, supported by the Alexander von Humboldt Professorship, in collaboration with the Chair of Computational Mathematics at the University of Deusto in Bilbao, Spain, led by Enrique Zuazua.

Functions:

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

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

Project title:

ERC CoDeFeL Control for Deep and Federated Learning project. GA.

PI and/or project manager:

Professor Enrique Zuazua.

Contract details:

Competitive economic conditions to be specified.

Funding entity:

European Research Council (ERC).

Institutional values:

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

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

The University supports the inclusion of people with disabilities and encourages applicants to indicate this condition if applicable, especially if holding a disability certificate of 33% or more.

Requirements:

• Degree and master's 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. Complete the online application form.
2. Register on the Deusto Career Opportunities website (click on the blue register button).

Applicants should submit the following documentation:

• Cover letter: Brief description of your Master thesis, previous research activities, how your expertise relates to ERC CoDeFeL, and your expectations for the doctoral position.
• Curriculum Vitae (including publications and preprints).
• References: 2-3 professors with contact info for reference letters (not required now).
• Official academic transcript of previous university studies, including grades, subjects, and dates, issued by the university. For studies abroad, an official translation and statement of equivalence are required.
• Letter of admission or enrollment in a University of Deusto PhD program.

Application deadline:

10th September 2025 at 23:59 local time.

Contact:

For further information, contact details will be provided on the application portal.