Doctoral Research Position at University of Deusto: The University of Deusto invites applications for one (1) open doctoral research position in the ERC Advanced Grant CoDeFeL project. This position is focused on Control for Deep and Federated Learning within the Chair of Computational Mathematics. This opportunity is positioned for candidates who have a robust background in Applied Mathematics, Machine Learning, and computational skills, with the potential for impactful research in an interdisciplinary environment.
Designation
Doctoral Researcher
Project: ERC CoDeFeL, Control for Deep and Federated Learning
| Details | Information |
|---|---|
| Location | Bilbao, Spain |
| Vacancies | 1 |
| Work Modality | On-site |
| Funding Entity | European Research Council (ERC) |
| Principal Investigator | Professor Enrique Zuazua |
Research Area
- Control Theory
- Machine Learning
- Applied Mathematics
- Numerical Analysis
- Partial Differential Equations
Eligibility/Qualification
- Educational Background:
- A degree and a master’s in Applied Mathematics and/or Machine Learning.
- Programming Skills:
- Advanced knowledge in scientific programming languages such as R, Python, or Matlab.
- Language Proficiency:
- Excellent knowledge of English (oral/written).
- Other Skills:
- Ability to tackle research challenges and collaborate effectively in an international and interdisciplinary environment.
Job Description
The successful candidate will:
- Contribute to advancing the mathematical foundations of Machine Learning.
- Work independently and collaboratively within the context of the ERC CoDeFeL project.
- Develop computational coding and apply mathematical and computational methods to model and control dynamic phenomena across various scientific disciplines, including engineering and climate sciences.
How to Apply
- Complete the online application form available on the University of Deusto’s website.
- Register at the Deusto Career opportunities website.
- Prepare and submit the following application documentation:
- Application Covering Letter:
- Brief description of the thesis topic and results.
- Previous research activities.
- How your expertise aligns with the ERC CoDeFeL research topics.
- Expectations from this doctoral position.
- Curriculum Vitae: Including publications and preprints (if any).
- Reference Information: List of 2-3 professors (with contact information) for reference letters.
- Official Academic Transcript: From previous university studies, with grades, issued by the appropriate unit.
- Letter of Admission/Enrollment: To a University of Deusto PhD programme.
Last Date to Apply
January 15, 2025, at 23:59 local time.
Contact Information
For inquiries, please contact: ayudas.fpi@deusto.es.
This scholarship represents an exciting opportunity for ambitious researchers seeking to push the boundaries of applied mathematics and machine learning in an esteemed academic setting. Interested candidates are encouraged to apply promptly!
