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This job offer was closed at 2025-01-07

University of Deusto

Research Staff - Postdoctoral researcher 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 Post-doctoral position: 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 postdoctoral research position at the ERC CoDeFeL, Control for Deep and Federated Learning project.

Job Description

Purpose of the position:
DeustoTech – Deusto Institute of Technology is the technological research center of the University of Deusto, located on the Bilbao campus, whose mission is to promote research, training and knowledge transfer at the service of society and industry. Within DeustoTech, the Chair of Computational Mathematics, 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.

The successful candidate will work at the forefront of new mathematical challenges working on the development of new tools with a solid mathematical foundation suitable for data-aware/physics-inspired modelling, combining machine learning and control theoretical ideas, motivated by significant applications in health care, autonomous driving and internet recommendation systems.

Functions:
We are looking for a postdoctoral researcher specialized in high level experience in Control mathematics and Machine Learning and proven experience in Partial Differential Equations and Numerical Analysis as well as computational skills to develop computational codes.

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, and, where applicable, supervise research assistants in the activities that he/she leads. Furthermore, the candidate will be involved in mentoring undergraduate and graduate students, publishing research findings in scientific journals, presenting them at national and international conferences, and supporting the research team with the technical reporting and results dissemination from the CODEFEL project.

Title of the project to be incorporated:
ERC CoDeFeL, Control for Deep and Federated Learning project .

PI and/or project manager:
Professor Enrique Zuazua.

Funding Entity:
European Research Council (ERC).

Benefits

Endowment of the contract:
Initially limited to up to three (3) years. The remuneration will depend on the candidates' experience and qualifications, which will be evaluated objectively based on scientific criteria.

Full-time incorporation in the first quarter of 2025, with economic conditions commensurate with the experience and knowledge provided by the candidates. The University of Deusto promotes inclusion and encourages people with diversity to apply.

Comment/web site for additional job details

https://deusto.talentclue.com/en/node/112514188

FP7 / PEOPLE / Marie Curie Actions

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

Job Details

Type of Contract Temporary 
Researcher profile 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 DeustoTech 
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/112514188 
Phone  
Mobile Phone  
Fax  

Application Details

Envisaged Job Starting Date 2025-03-01 
Application Deadline 2025-01-07 
How To Apply https://deusto.talentclue.com/en/node/112514188 

Additional Requirements

Skill

 
Specific Requirements

1. Hold a PhD degree in Applied Mathematics and/or Machine Learning with demonstrable experience on the research topics of the ERC CoDeFeL project.
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:

Application documentation. Applicants should provide the following information:
1.Application covering Letter:
1.1.Brief description of the topic and results of your PhD or Master thesis.
1.2. Brief description of your previous research/postdoctoral activities (if applicable).
1.3. Explanation of how your expertise relates to the research topics of the ERC CoDeFeL.
1.4. Description of your expectations from the postdoctoral position in our research group.
2. Curriculum vitae (Including a list of publications and preprints (if any).
3. Reference Information: List of 2-3 professors (with contact information) who can provide a reference letter. Explain your connection to them. No recommendation letters are required at this stage.
4. Tentative Research Proposal: One-page proposal aligned with the ERC CoDeFeL project research scope.


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%.