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Italy – Fully Funded PhD in Smart Computing at University of Florence

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Italy – Fully Funded PhD in Smart Computing at University of Florence

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Italy – Fully Funded PhD in Smart Computing at University of Florence

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PhDFinder Italy – Fully Funded PhD in Smart Computing at University of Florence

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Italy – Fully Funded PhD in Smart Computing at University of Florence

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PhDFinder University:

University of Florence

Country:

Italy

Deadline:

2025-08-07

Fields:

Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Information Technology

Are you passionate about leveraging advanced computing techniques to solve real-world challenges and eager to be at the forefront of technological innovation? If you are driven to build a career in smart computing and contribute to cutting-edge research, the University of Florence’s fully funded PhD program in Smart Computing offers a unique and prestigious opportunity to achieve your academic and professional goals.

About The University Or Research Institute

The University of Florence stands as one of Italy’s most prominent and historic academic institutions, renowned for its commitment to research excellence and innovation. Located in the beautiful city of Florence, the university provides a vibrant and intellectually stimulating environment, attracting students and scholars from across the globe. The PhD program in Smart Computing is a collaborative effort, co-financed by the University of Florence, the University of Pisa, and the University of Siena. This partnership brings together internationally recognized faculty and a global network of partner institutions, ensuring that students benefit from a multidisciplinary and world-class academic experience.

Research Topic and Significance

The PhD Program In Smart Computing Addresses Some Of The Most Pressing And Dynamic Areas In Modern Computer Science And Engineering. The Program Offers Three Specifically Defined Research Topics Among Its Nine Available Positions

– Adaptive Human Centric Interfaces for Enhancing Human Machine Interaction

– Machine Learning 4 Quantitative Evaluation (ML4QE)

– Graph Neural Networks for prediction, classification and anomaly detection problems in time series of observations collected by a distributed sensor network: application to air quality monitoring in urban contexts

These topics are highly relevant in today’s rapidly evolving technological landscape. Human-centric interfaces are fundamental to improving the quality of interactions between people and digital systems, while machine learning for quantitative evaluation has broad applications in data analysis, automation, and decision-making processes. The application of graph neural networks to sensor data, particularly for air quality monitoring in urban environments, is crucial for addressing environmental challenges and supporting sustainable urban development. By focusing on these areas, the program not only advances the state of the art in smart computing but also contributes to societal well-being and technological progress.

Project Details

The PhD program is a three-year, multidisciplinary initiative that brings together expertise from three leading Italian universities: Florence, Pisa, and Siena. Students will have access to internationally renowned faculty members and a global network of research collaborators. The program is designed to foster innovation, interdisciplinary research, and practical applications in smart computing. While specific lab or supervisor details are not provided in the announcement, the program’s structure ensures that students will engage with high-impact research and benefit from a rich academic environment.

Also See

PhD Opportunity in Symbolic AI and Reasoning Under Uncertainty at TU Delft PhD Opportunities in Urban Biodiversity and Nature Positive Development at Curtin University Fully Funded PhD Opportunities at the University of Ferrara, Italy – 41st Cycle (2025/2026) PhD Positions in Robotics, AI, and Sustainability at University of Groningen PhD Opportunities in Digitalization, AI, and Environmental Management at University of Padova

Candidate Profile

This Opportunity Is Ideal For Motivated Applicants With a Strong Background In Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Information Technology, Or Related Fields. Successful Candidates Should Demonstrate

– A passion for innovative research in smart computing and related areas

– Solid analytical and problem-solving skills

– Interest in interdisciplinary collaboration and real-world applications

– Commitment to academic excellence and professional growth

Whether you have experience in machine learning, human-computer interaction, or sensor networks, this program is designed to support and challenge those aiming to become leaders in the field.

Application Process

The call for PhD positions, including detailed information about the program and application requirements, is available at:

https://lnkd.in/danAV3-F

Candidates can apply online by following the instructions provided at:

https://lnkd.in/dWfMd6wT

The application deadline is August 7th, 2025, at 12am CEST.

Conclusion

If you are ready to take the next step in your academic journey and contribute to impactful research in smart computing, the University of Florence’s PhD program offers an exceptional platform for your ambitions. We encourage all qualified and motivated candidates to apply and to explore similar opportunities to further your career in this exciting and rapidly evolving field.

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