The Ph.D. course aims to train researchers capable of carrying out high-quality research work related to Information Engineering in academic and non academic research institutions as well as in industrial research & development centers.
The course consists of four curricula:
- Control, Optimization and Complex Systems
- Electronics, Electromagnetics and Electrical Systems
- Computer Engineering
- Telecommunications and Telematics
that cover all the main areas of Information Engineering.
Questions & Answers
Large number of external collaborationsMany opportunities to do research at an international level.
You must hold a MSc degree or equivalent (at least 5 years of university studies). You may apply before graduation but you must obtain your degree before October 31th of the current year. You also must be able to use English in a professional context (a CEFR B2 level is sufficient).
There are scholarships provided by University of Florence and possibly additional scholarships funded by external companies or research institutions. All scholarships are 13868 Euros per year after taxes. These scholarships can be increased of 50% during periods spent abroad for study and research. Tuition fees are waived for all fellows. Additional positions without a fellowship are also available and these are normally covered later under a research assistantship contract. All scholarships cover the full years program.
The duration of the program is three years.The program can be temporarily suspended and subsequently resumed under special justified circumstances.
As an applicant, you will be evaluated in a competitive fashion by a designated committee on the basis of your past academic achievement, as well as on the basis of your knowledge of disciplines directly relevant to the program, your aptitude to research, and your investigative skills. The selection process requires the submission of a research project and a formal interview before the committee.
Yes. However, in case you are selected for two or more programs, you must submit your enrollment choice before the program starts. Also, if you are not immediately selected but ranked close to the top of the list, you may be still admitted, should other candidates ranked above you decide to enroll in another program.
PhDinfo Seminar Series
PhDInfo Seminar: Francesco Marchetti, “The Memory in Deep learning: from Recurrent Neural Network to Memory Network”
(the slides of this and other presentations are available in the PhDinfo restricted area) PhDinfo seminar held on April 16th, 2021 by Francesco Marchetti Abstract. The memory module in Deep Learning architecture is fundamental to solve sequential andtemporal task such as speech recognition, language modelling, sentiment analysis.The Recurrent Neural Networks (RNN), analysing recurrently each element of […]
(the slides of this and other presentations are available in the PhDinfo restricted area) PhDinfo seminar held on April 16th, 2021 by Lorenzo Biotti, XXXVI cycle Abstract. In this presentation I’m going to give a quick overview of Molecular Communications.In the first part, I present a recent work, so I want to thank Gian Marco Roselli, […]
Abstract: Visual Question Answering (VQA) is an emerging topic which aims at automatically answering questions referred to a specific image. Together with image captioning, VQA is the main point of contact between the two heterogeneous communities of Natural Language Processing (NLP) and Computer Vision. VQA datasets contain different types of questions which require reasoning about […]
PhDinfo Seminar: Alessio Sortino on “An efficient optimization approach for best subset selection in linear regression”
Abstract The problem of selecting the best sparse linear regression model is considered a relevant optimization problem. Usually this problem is solved through a sequence of separate steps, alternating between choosing a subset of features and then finding a best fit regression. In this seminar a new approach, based on a mixed-integer nonlinear optimization problem, […]
Blog pages from our PhD students
Deep Learning and Computer Vision for Autonomous Systems: Focus on drone vision, imaging, surveillance and cinematography.
18-19 November 2020, Aristotle University of Thessaloniki (AUTH),Live Web Course Technological and scientific development in the field of Unmanned Aerial Vehicle (UAV), Computer Vision and Deep Learning has led to the use of drones in various applications that was previously unthinkable. In the field of media production (cinema movies, documentaries, news coverage and sport events), […]
We proudly announce that Luca Bossi, Pierluigi Falorni, Gennadiy Pochanin, Timothy Bechtel, Jack Sinton, Fronefield Crawford, Tetiana Ogurtsova, Vadym Ruban, Lorenzo Capineri received the Best Paper Award from the 2020 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IoT for their paper “DESIGN OF A ROBOTIC PLATFORM FOR LANDMINE DETECTION BASED ON INDUSTRY 4.0 […]
In these days we have had the first PhD defense held on line as a consequence of the restrictions caused by the Covid-19 emergency. Even in this really strange and dramatic situation, with everybody (candidates, committee, friends and parents) remotely connected on the web, it was a great great emotion and satisfaction to hear Leonardo […]
Lucca: Complexity 72 hrs. The excitement of this marvellous workshop, as hinted by the name, is that you get to complete a research paper in 72 hrs. The tag-line and the panel of supervisor for the 6 to 7 projects were enough for me to decide that I wanted to see what this had to […]