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

Job title:

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

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Job description

Offer DescriptionPurpose 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%.RequirementsSpecific RequirementsRequirements:
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: .Additional InformationBenefitsEndowment of the contract:
Competitive economic conditions to be specified.Additional commentsWork Location(s)Number of offers available 1 Company/Institute University of Deusto Country Spain State/Province Biscay City Bilbao Postal Code E-48007 Street Avda. de las Universidades 24Contact State/ProvinceBizkaia CityBilbao WebsiteStreetAvda. de las Universidades 24 Postal CodeE-48007 E-Maildesarrollodepersonas@deusto.esSTATUS: EXPIREDShare this page

Expected salary

Location

Deusto, Vizcaya

Job date

Fri, 13 Dec 2024 03:09:57 GMT

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