Open PhD position in Applied Mathematics at ERC CoDeFeL at DeustoTech, University of Deusto
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.
University of Deusto in 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[1].
The Chair of Computational Mathematics at University of Deusto (Bilbao, Basque Country, Spain), is dedicated to advancing research, training, and outreach in various aspects of Applied Mathematics. Our team works actively in the broad area of Applied Mathematics and Machine Learning, developing and applying methods of Mathematical and Computational Mathematics to model, understand, design and control the dynamics of various phenomena arising in the interface of Mathematics with Engineering, Physics, Environment and Climate Sciences and Social Sciences.
In particular, CoDeFeL seeks to make a breakthrough that takes the mathematical foundations of Machine Learning beyond their present frontiers, through the systematic development of new ideas and methods inspired by control theory. The project is developed by the “Chair for Dynamics, Control, Machine Learning, and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH)” in cooperation with the University of Deusto in Bilbao (https://cmc.deusto.eus), Basque Country, Spain led by Enrique Zuazua.
Functions
We are looking for a doctoral researcher specialized in Control and/or mathematics and /or Machine Learning and knowledge in Partial Differential Equations and Numerical Analysis as well as computational skills to develop computational coding.
The candidate is expected to be able to structure and address the research challenges of the ERC CoDeFeL project and collaborate and work effectively with internal and external teams within the project framework. Depending on experience, the candidate should be able to work both independently and collaboratively in an international and interdisciplinary environment.
Title of the project to be incorporated: ERC CoDeFeL, Control for Deep and Federated Learning project (GA 101096251)
PI and/or project manager: Prof Enrique Zuazua
Endowment of the contract: Competitive economic conditions to be specified.
Funding Entity: European Research Council (ERC)
Requirements
Qualifications required:
- Hold a degree and master in Applied Mathematics and/or Machine Learning.
- Be enrolled or admitted at a University of Deusto doctoral programme
- Have advanced knowledge in scientific programming (R, Python, Matlab)
- Excellent knowledge of English (oral/written) is compulsory to the job profile and tasks development.
Application and deadline:
– Deadline: Monday, May 5th, 2025 at 23:59 local time.
– Contact information: ayudas.fpi@deusto.es
The University of Deusto carries out this call within the framework of General call for Grants allocated to research projects or groups to pursue Doctoral Studies.
In order to apply to this job offer, please, complete the following two steps:
- Register at the Deusto Career opportunities website (click at the “regístrate / Apply” button).
- Fill out the following online application form and attach:
- 2.1 Enrollment in a University of Deusto PhD programme or admissions letter for the 2025/2026 academic year.
- 2.2 Official academic transcript of previous official university studies (1st and 2nd cycle), even if they are currently being taken, issued by the corresponding unit. The academic certificate must state the name of the degree programme, the subjects that make up the course syllabus, the subjects passed, the grades obtained and the dates on which they were obtained. The transcript should show the average mark from 0 to 10.
- If the studies have been completed abroad, an official academic certificate must be submitted as well as a sworn translation thereof, provided that it is not in one of the two co-official languages of the Basque Autonomous Community or in English. In all cases, the certificate or other supporting document must state the maximum and minimum grades within the corresponding assessment system and the minimum grade required to pass. In addition, the «Statement of equivalence of average grade» of the Spanish Ministry of Education, Culture and Sport (MECD) or ANECA’s official certificate indicating the average grade of the academic transcript within the Spanish evaluation system must be submitted.
- 2.3 Curriculum vitae.
Institutional values
University of Deusto is committed to international standards, transparent performance agreements, equal opportunity, inclusivity, support for under-represented groups, an inclusive culture, and diversity.
The University of Deusto in Bilbao (Spain) reserves the right for justified reasons to leave the positions open, to extend the application period.
[1] The CoDeFeL project (ERC-2022-ADG) has received funding from the European Union’s Horizon ERC Grants programme under grant agreement No. 101096251.
