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This job offer was closed at 2025-01-15

University of Deusto

Research Staff - PhD in Applied Mathematics, Chair of Computational Mathematics, DeustoTech, University of Deusto

Research Field: Mathematics 
Sub Research Field:  

Job Summary

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 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.

Job Description

Purpose of the position:
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 in cooperation with the Chair of Computational Mathematics of 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. GA 101096251.

PI and/or project manager:
Professor 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 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 and to consider candidates who have not submitted applications during the application period.


The University of Deusto supports the inclusion of people with disabilities. It therefore encourages this condition to be indicated in applications in the case of having a certificate of disability equal to or greater than 33%.

Benefits

Endowment of the contract:
Competitive economic conditions to be specified.

Comment/web site for additional job details

https://deusto.talentclue.com/en/node/112577121

FP7 / PEOPLE / Marie Curie Actions

Research Framework Programme/
Marie Curie Actions 		HE / ERC 
SESAM Agreement Number  

Job Details

Type of Contract Temporary 
Researcher profile Recognised Researcher (R2), Established Researcher (R3)  
Status Full-time 
Hours Per Week 37,5  
Company/Institute University of Deusto 
Country SPAIN 
State/Province Biscay 
City Bilbao 

Organization/Institute Contact Data

Organization University of Deusto 
Organization/Institution Type Academic 
Faculty/Department/Research Lab  
Country SPAIN 
City Bilbao 
State/Province Bizkaia 
Postal Code E-48007 
Street Avda. de las Universidades 24 
E-Mail desarrollodepersonas@deusto.es 
Website https://deusto.talentclue.com/en/node/112577121 
Phone  
Mobile Phone  
Fax  

Application Details

Envisaged Job Starting Date 2025-03-01 
Application Deadline 2025-01-15 
How To Apply https://deusto.talentclue.com/en/node/112577121 

Additional Requirements

Skill

 
Specific Requirements

Requirements:
1. Hold a degree and master in Applied Mathematics and/or Machine Learning.
2. Have advanced knowledge in scientific programming (R, Python, Matlab).
3. Excellent knowledge of English (oral/written) is compulsory to the job profile and tasks development.

Application:
1. 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.” For more information on this call, please click on the following link.
2. Please complete the following two steps:
2.1. The online application form.
2.2. Register at the Deusto Career opportunities website (click on the blue "register" button).
3. Application documentation. Applicants should provide the following information:
3.1. Application covering letter:
3.1.1. Brief description of the topic and results of your Master thesis.
3.1.2. Brief description of your previous research activities (if applicable).
3.1.3. Explanation of how your expertise relates to the research topics of the ERC CoDeFeL.
3.1.4. Description of your expectations from the doctoral position in our research group.
3.2. Curriculum Vitae (Including a list of publications and preprints (if any).
3.3. Reference Information: List of 2-3 professors (with contact information) who can provide a reference letter, explaining your connection to them. No recommendation letters are required at this stage.
3.4. 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.
3.5. Letter of admission to a University of Deusto PhD programme or the enrollment in the program.

Application and deadline:
- Online application form+ complete the form on the Deusto Career opportunities website.
- Deadline: 15th January 2025 at 23:59 local time.
- Contact information: ayudas.fpi@deusto.es.