University of Oviedo
3 days ago
PhD Opportunity in Artificial Intelligence and Biomedical Data Analysis at the University of Oviedo University of Oviedo in Spain
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD fellowship depends on securing competitive FPU 2026 funding. The underlying research project is fully funded by the Spanish National Research Agency (AEI) under project PID2025-169794NB-I00. The post includes guidance for the FPU application and, if awarded, PhD supervision and mentoring.
Country
Spain
University
University of Oviedo

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About this position
PhD Opportunity: Artificial Intelligence and Biomedical Data Analysis at the University of Oviedo (Gijón, Spain).
The Supervision, Diagnosis and Knowledge Discovery in Engineering Processes research group (GSDPI) is seeking a motivated candidate to jointly apply for a competitive PhD fellowship through the FPU 2026 programme. The position is tied to securing this fellowship, while the research itself is supported by a fully funded national project from the Spanish National Research Agency (AEI) (project PID2025-169794NB-I00).
The research topic combines artificial intelligence, machine learning, and interactive visual analytics for biomedical data analysis. The work will help biomedical specialists explore complex data, incorporate expert knowledge, and discover new insights. Possible data sources include gene expression and DNA methylation data in cancer, clinical information, and physiological signals. The exact topic can be tailored to the candidate’s background and interests.
Candidate profile: strong academic record in engineering, computer science, mathematics, physics, bioinformatics, or life sciences with computational training; programming and data analysis skills; and a strong interest in machine learning, data visualisation, and biomedical research. Applicants must satisfy the eligibility requirements of the FPU call.
How to apply / express interest: email your CV to [email protected]. The group will support the FPU application process and provide supervision and mentoring if the fellowship is awarded.
Keywords: artificial intelligence, machine learning, interactive visual analytics, biomedical data analysis, bioinformatics, cancer data, gene expression, DNA methylation, clinical data, physiological signals.
Funding details
The PhD fellowship depends on securing competitive FPU 2026 funding. The underlying research project is fully funded by the Spanish National Research Agency (AEI) under project PID2025-169794NB-I00. The post includes guidance for the FPU application and, if awarded, PhD supervision and mentoring.
What's required
Applicants must meet the eligibility requirements of the FPU 2026 call. Preferred backgrounds include engineering, computer science, mathematics, physics, bioinformatics, or life sciences with computational training. Candidates should have a strong academic record, programming and data analysis skills, and a keen interest in machine learning, data visualisation, and biomedical research.
How to apply
Email your CV to [email protected] to express interest. The team will provide guidance for preparing the FPU application if you are a fit for the call.
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