Hosting offer for MSCA PF 2025 at University of A Coruña. Nonparametric Functional Data Analysis

euraxess.ec.europa.eu - Jobboard; España; Presencial; EUR 30.000 - 40.000; Jornada completa

Descripción de la vacante

A leading research center in Spain seeks exceptional postdoctoral researchers for a project focusing on nonparametric functional data analysis. The successful candidate will develop novel methodologies and contribute to significant research aimed at real-world applications in various domains. This role offers comprehensive support and resources to enhance your research profile and ensure success in obtaining competitive fellowships.

Servicios

Access to CITIC facilities and resources

Support for dissemination and international networking

Tailored support for MSCA Postdoctoral Fellowship application

Formación

• Candidates should have strong quantitative backgrounds.
• Prior experience in functional data analysis and R programming is advantageous.

Responsabilidades

• Conduct research on bagging-based smoothing parameter selection.
• Develop new methods and an R package for functional regression models.
• Engage in collaborative research and prepare for MSCA Postdoctoral Fellowship applications.

Conocimientos

R programming

Quantitative analysis

Functional data analysis

Simulation-based inference

Computational statistics

Educación

PhD in Statistics, Applied Mathematics, or Data Science

Descripción del empleo

CITIC - Research Center on Information and Communication Technologies

Organisation / Company University of A Coruña Department Mathematics Laboratory CITIC - Research Center on Information and Communication Technologies Is the Hosting related to staff position within a Research Infrastructure? No

Dr. Mario Francisco Fernández is seeking exceptional researchers who hold a PhD (with no more than 8 years of full-time equivalent research experience) and are interested in pursuing a research project within his team, in the framework of the Marie Curie Postdoctoral Fellowships 2025.

Hosting Group:

The MODES (Modelling, Optimization and Statistical Inference) group at Universidade da Coruña, led by Prof. Francisco-Fernández, will host the fellow within the CITIC research center. MODES has a long-standing track record in nonparametric statistics, regression models, and functional data analysis, and offers a dynamic and supportive environment for research and innovation.

The group currently coordinates several competitive research projects, including a national grant from the Spanish Ministry of Science (PID2023-147127OB-I00) and a Galician Research Group grant from the Xunta de Galicia (GRC ED431C-2024/14), both led by Prof. Francisco-Fernández as Principal Investigator.

MODES has also established strong collaborations with leading industrial partners such as INDITEX, Ferroatlántica, Navantia, Estrella Galicia, FACET Ibérica, and Galfor, demonstrating its ability to connect methodological research with real-world challenges.

Proposed Research Line:

Bagging-based smoothing parameter selection in nonparametric functional regression models

We invite applications from highly motivated postdoctoral researchers interested in advancing the field of nonparametric functional data analysis (NPFDA) through the use of bagging-based techniques. The proposed project focuses on the development, theoretical study, and computational implementation of new bagging-based methods for smoothing parameter selection in functional regression models.

While inspired by earlier contributions to bagging in the univariate setting, this research will explore novel methodologies suited to functional predictors. Core objectives include:

• Theoretical analysis of bagging-based selectors and their asymptotic properties in NPFDA;
• Applications to real datasets in domains such as energy, health and environmental monitoring;
• Development of a reproducible and computationally efficient R package, including parallelization and scalability.

Additional research directions may address the integration of bagging in other NPFDA components, such as model aggregation, robust estimation, or variable selection in high-dimensional contexts.

Candidate Profile:

We welcome candidates with strong quantitative backgrounds, ideally in statistics, applied mathematics, or data science. Prior experience in functional data analysis, R programming, simulation-based inference, and computational statistics will be considered advantageous.

Infrastructure and Support:

The fellow will have access to the CITIC facilities, including office space, computing resources, specialized software, and interdisciplinary collaboration opportunities. Support will also be provided for dissemination, software development, and international networking. The fellow will receive as well tailored support in preparing a competitive MSCA Postdoctoral Fellowship application from the university’s Talent Recruitment Office.

Expressions of Interest

Interested candidates should contact Dr. Mario Francisco ([e-mail]) as soon as possible. Emails should include a CV and a brief motivation letter .