PhD in Engineering and Information Technology for Structural and Environmental Monitoring and Risk Management – EIT4SEMM

Academic Year 2023-2024
Subject area Engineering Studies
Cycle 39
Coordinator Prof. Luca De Marchi
Language English
Duration 3 years

Application deadline: Aug 22, 2023 at 11:59 PM (Expired)

Second PhD Call for Applications, with scholarships funded by NRRP and other funds

Enrolment: From Sep 15, 2023 to Sep 21, 2023

Doctoral programme start date: Nov 01, 2023

39 PNRR PhD Call for Applications

Application deadline: Jun 20, 2023 at 11:59 PM (Expired)

PhD Call for Applications, with scholarships funded by NRRP and other funds

Enrolment: From Aug 03, 2023 to Aug 22, 2023

Doctoral programme start date: Nov 01, 2023

39 PNRR PhD Call for Applications
Operating centre
Main Department
Department of Civil, Chemical, Environmental, and Materials Engineering - DICAM
Associated Departments
Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" - DEI
Department of Mathematics - MAT
Department of Computer Science and Engineering - DISI
"Ercole De Castro" Advanced Research Center on Electonic System- ARCES
Research topics

The following learning, teaching and research areas have been identified:

  • Physical models (analytical and numerical), system identification
  • Structural mechanics
  • Fluid mechanics, hydrology and soil mechanics
  • Geomatics and autoID
  • Process safety and loss prevention
  • Remote sensing and earth observation systems
  • Climate change monitoring and control
  • Positioning systems
  • Sensors and actuators, interoperability and dependability
  • Communication and sensor networks, Internet of Things, Web of Things
  • Energy harvesting and power management
  • ICT techniques for energy efficiency in buildings and cities
  • Nondestructive tests, methods and technologies
  • Signal and image processing, computer vision
  • HW/SW design of embedded systems
  • Machine learning applied to structural and environmental monitoring
  • Advanced information processing methodologies, wearable computing, high performance computing
  • Information management, big data, crowd sensing, data availability, data privacy and security
  • Data modeling, data analysis/uncertainty, learning and cognitive analytics, prediction, decision support
  • Domain specific platforms and services
  • Modeling and simulation methodologies and tools for complex systems
  • Safety, risk analysis and management
  • Resilience and resilience engineering
  • Logistics (in ordinary and extraordinary conditions)
  • Optimization schemes/strategies
  • Reliable systems design and project based learning
  • Environmental multi-source pollution and control
  • Sea pollution control and coastal management
  • Emergency management and communication
  • Circular economy and circular resource management.
Job opportunities and potential areas of employment
Career opportunities are related to those positions requiring senior researcher’s whit research and managing capabilities devoted to the development of innovative monitoring methodologies and technologies in all the typical fields of materials, civil, chemical, or environmental engineering. The PhD EIT4SEMM (ex SEHM2) borns to provide and combine methodological and technological competences before offered separately from the PhD programs in Civil Engineering, Chemical, Environmental and Materials Engineering, the PhD program in Computer Science and Engineering and the PhD program in Electronics, Telecommunications and Information Technologies.
Most of the PhD students who attended in the last years the two previous PhD programmes obtained a professionally satisfying employment at public or private bodies: public administration, utilities management agencies, professional companies, research institutes.
Admission Board

Appointed by RD n. 709/2023 Prot n. 149534 on Jun 02, 2023

Confirmed for Call for further PhD Positions
Rectoral Decree n. 1069/2023 Prot. n. 0228174 of 07/08/2023

Surname and Name University / Institution Role email
De Miranda Stefano Università di Bologna Member
Mattoccia Stefano Università di Bologna Member
Rossi Davide Università di Bologna Member
Elias Jocelyne Università di Bologna Substitute
Mangia Mauro Università di Bologna Substitute
Palermo Antonio Università di Bologna Substitute
Learning outcomes

The primary objective of the PhD program is to acquire the necessary skills to carry out highly qualified research activities in the field of structural and environmental monitoring and management. This requires i) knowledge on civil, chemical, material and environmental engineering to understand models as well as their evolutionary key indicators and also ii) knowledge of the key enabling technologies offered by the  information engineering, with in particular the new paradigms for the implementation of systems based on sensors miniaturization, wireless connectivity and Web of Things. Students from civil and environmental engineering will receive specific training on information engineering as detailed in ii) and vice versa those students coming from the fields of information engineering will receive main training on point i), with the objective of promoting a multidisciplinary competence to the PhD students as well as to improve the development of their soft skills.

Activities to be carried out by Doctoral candidates

The scientific activities of the PhD students is configured mainly in theoretical and experimental development of a research topic of particular relevance in the context of the chosen monitoring and management area, also in collaboration with other universities and/or research centers of international renown as well as with industries. A thorough understanding of the bibliographic reference (i) is a necessary condition for the development of the PhD research, moreover (ii) the PhD thesis has to provide an important numerical and experimental activity of the processes investigated. To perform the experimental activity, the PhD students have access to the laboratory hosted by the Interdepartmental Centre “E. De Castro” (ARCES ,

  • SHM: electronic systems and wireless sensor networks prototyping, anti-vibration table; static and dynamic large scale testing facilities, laservibrometer;
  • ARES: sensor modeling and characterization, cad stations, probe stations, climatic chamber, and profilometer for precise surface topography analysis for applications on MEMS directly on-wafer;
  • LYRAS: analog circuits and sensor interfaces;
  • MARS: IoT, Web of Things and Interoperabiity of Embedded Systems.

The PhD students will have access to the Computational Mechanics Laboratory of the DICAM Department which is equipped with advanced computing systems and software packages. The access to HPC resources will be obtained through the participation to the competitive calls published by CINECA (e.g. PRACE calls).
For research and development issues in collaboration with companies/industries partnerships are possible. The training usually occupies 40% of the time and is focused primarily (but not exclusively) in the first year whereas the remaining time is mainly devoted to research, which is mainly concentrated in three semesters, from the third to fifth. The last six months are mainly focused dissemination activities and the final paper preparation.

Research training activities compliant with the Doctoral programme's learning outcomes

The planned training activities are dedicated to the acquisition of fundamental knowledge in the fields characterizing the PhD program. This is achieved participating to seminars and specialized courses, organized by the DICAM, DEI, DISI, MAT departments and by ARCES center, as well as within the other PhD programs of the University of Bologna. Of particular interest will be the seminars organized at national level by research organizations and associations working in the field of monitoring and prevention (eg. INAIL, AIPnD, etc.). The participation in national and international conferences is strongly suggested. The training courses are calibrated for each student in relation to the previous career of studies and, as anticipated, are aimed at providing interdisciplinary skills. Knowledge in the general areas for the PhD program such as mathematical tools for numerical modeling and signal processing, is considered basic and essential. Such knowledge will be identified by the student along with his advisor and following the indications given by the Advisory Board of the PhD program. Common complementary training to all doctoral students will cover European funding schemes, intellectual property and scientific writing. These courses will run within the first two years of training. The training of doctoral students is normally completed by a period abroad, not less than six months, at universities and/or research centers. Moreover, the students will be encouraged to join the international projects participated by their supervisors. Examples of currently running projects are: CONNECT, RIA, ECSEL, Building and district level monitoring and actuaton for energy efficiency (2017-20); CONVERGENCE, FLAG-ERA call, Tema: High Efficiency Sensor Networks.
The thesis is prepared in English.

Internationalization features

The announcement of selection for the admission at the PhD course will be disseminated at the international level via the research networks of Advisory Board members. It will also be given high visibility to the competition by using both local (AlmaLaurea) and international (ResearchGate, EngineerOxy, Linkedin, etc.) web channels. In order to foster the participation of foreign students, the admission test (carried out by evaluation of the curriculum vitae, qualifications certificates and an oral interview), will be held in English or Italian. At the moment there are no positions fully dedicated to foreign students, but there is full readiness to support national and international funding in such directions.
Courses and specific seminars offered to the PhD students, as well as meetings of the Advisory Board and the communication between the PhD coordination team and the PhD students, will be held in English language.
Except for particular situations, all the PhD students must take training activities in international research centers and laboratories (located in foreign countries) for periods of 6 to 18 months. Their period abroad is aimed at the acquisition of experimental and /or modeling techniques and skills in general which are complementary to those developed at the home University in Bologna; also it allows you to frame in a suitable international framework, methods and ideas, the research themes developed.
It 'also provided the exchange of foreign doctoral students for periods of at least six months, both in the context of the same partnerships, both in the context of specific international agreements (ERASMUS, Projects H2020, CSC, CONFAP, etc.). As such, three MSCA PhD student have been already enrolled.

Expected research results and products

In addition to the final thesis, the ability of the student to carry out research activity should be documented by some presentations at international congresses as well as by some papers published in first rank international scientific journals for the research fields of PhD programme. The development of national and international patents is greatly appreciated.