CONCURSO | 5ª Edición do Three Minute Thesis_USC
22 Abril, 2026JORNADA | XIII Encontro da Mocidade Investigadora_ USC
23 Abril, 2026CONCURSO | 5ª Edición do Three Minute Thesis_USC
22 Abril, 2026JORNADA | XIII Encontro da Mocidade Investigadora_ USC
23 Abril, 2026DESCRIPTION:
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.