University of Pisa
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3 weeks ago
PhD in Computer Science: Numerical Methods and Trustworthy AI for Genomic Sequence Analysis University of Pisa in Italy
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 10, 2026
Country
Italy
University
University of Pisa

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About this position
PhD opportunity in Computer Science at the University of Pisa, carried out at the Signals and Images Laboratory (SI-lab) of the Istituto di scienza e tecnologie dell'informazione "A. Faedo" (CNR-ISTI). The project is supervised by Davide Moroni, Giulio Del Corso, and Claudia Caudai.
The research topic is Numerical Methods and Trustworthy AI for Genomic Sequence Analysis. The PhD will focus on the analysis of complex signals and topological structures hidden in genomic data, with particular attention to Hi-C experiments. The goal is to develop efficient and innovative methods for identifying relevant patterns and building predictors for the study of genetic and oncological diseases.
Research areas include optimization theory, efficient algorithms, scalable implementations on high-performance computing infrastructures (CPU/GPU accelerated computing), neural models, deep learning, trustworthy AI for interpretable feature extraction, and multivariate analysis of high-dimensional signals.
This is an interdisciplinary opportunity for candidates interested in combining mathematical approaches, classical algorithms, and cutting-edge neural techniques in a dynamic environment with international collaborations.
Deadline: 10 August 2026 at 13:00 CEST. Call: INFO09_B / Call B. Interested applicants should review the University of Pisa call and follow the official application instructions.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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