EMPLEO | MSCA Postdoctoral Fellowships 2026_ UDC

DESCRIPTION:

Dr. Salvador Naya (Grupo MODES, Universidade de A Coruña) is seeking outstanding postdoctoral researchers who hold a PhD (with no more than 8 years of full-time equivalent research experience) and are interested in developing a research project within his team, in the framework of the Marie Skłodowska-Curie Postdoctoral Fellowships 2026.

POSITION OVERVIEW: The proposed MSCA Postdoctoral Fellowship project will focus on the application of statistical and data science methods to real industrial challenges. Potential research topics include:

– Statistical modelling and machine learning for industrial data analysis.

– Quality control, anomaly detection, and process monitoring.

– Data-driven decision-making and predictive modelling.

– Integration of statistical methods in industrial digitalization and smart systems. 

– The project is expected to follow a highly applied and interdisciplinary approach, combining methodological development with real-world industrial datasets and use cases.

CONDITIONS:

– International/intersectoral mobility (European/Global Fellowships, up to 2 years).

– Projects in industrial stats, metrology, AI applications, and more.

– Full support to craft a competitive proposal with expert supervisor.

– Dynamic and applied research environment within MODES and CITIC, with access to computational resources, industrial data, and collaborative networks.

– Close supervision by an experienced researcher with a strong track record in applied statistics, industrial collaboration, and European projects.

– Tailored support from the Universidade da Coruña Talent Recruitment Office for the preparation of a competitive MSCA Postdoctoral Fellowship proposal. 

REQUIREMENTS: Candidates should hold a PhD in Mathematics, Statistics, Data Science, or related fields, and demonstrate strong interest in applied research. The following profile is desirable:

– Solid background in statistics, data science, or applied mathematics.

– Programming skills (R and/or Python).

– Interest in machine learning, anomaly detection, and industrial data analysis.

– Motivation for technology transfer and collaboration with industry.

– Good communication skills and ability to work in multidisciplinary environments.

– Compliance with MSCA mobility rules (≤12 months in host country in last 36).

EXPRESSIONS OF INTEREST: Interested candidates should contact Dr. Salvador Naya (salvador.naya@udc.es) as soon as possible. Applications should include:

– A CV.

– A brief motivation letter.

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