Publisher
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University of Pisa

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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 available

Deadline

Aug 10, 2026

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Country

Italy

University

University of Pisa

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Keywords

Computer Science
Signal Processing
Deep Learning
Biology
Mathematics
Uncertainty Analysis
Medical Science
Optimization Theory
High Performance Computing
Statistics
Bioinformatic
Machine learning

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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.

More information can be found here

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