PhD in Applied Mathematics at DeustoTech at the University of Deusto
PhD in Applied Mathematics at DeustoTech at the University of Deusto
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Job Description
Universidad de Deusto Investigacin
Job description
General call for Grants allocated to research projects or groupsto 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 project1.
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 DCNAvH in cooperation with the University of Deusto in Bilbao 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
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PI and/or project manager:
Prof Enrique Zuazua
Endowment of the contract:
Competitive economic conditions to be specified.
Funding Entity:
European Research Council (ERC)
Institutional values:
University of Deusto is committed to international standards transparent performance agreements equal opportunity inclusivity support for underrepresented 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 (ERC2022ADG) has received funding from the European Unions Horizon ERC Grants programme under grant agreement No..
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:
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 regstrate / Apply button).
- Fill out the following online application form and attach:
- 2.1 Enrollment at 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 coofficial 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 ANECAs official certificate indicating the average grade of the academic transcript within the Spanish evaluation system must be submitted.
- 2.3 Curriculum vitae.
Deadline: Monday May 5th at 23:59 local time.
Employment Type
Full-Time
