Tirocinio - CdLM in Ingegneria Electronics Engineering for Automation and Sensing

 

 THESIS AND INTERNSHIP 

As part of the program, students are required to complete a mandatory internship worth 9 credits (CFU, with 1 CFU corresponding to a workload of about 25 hours). The internship involves carrying out analysis, experimental or research activities, which can be performed either at the University of Sannio or outside, preferably in companies, professional firms, public entities, other universities, either domestic or foreign. If students have already completed internships relevant to the program’s topics, they can request acknowledgement of credits, provided they are suitably documented, and the Master’s Degree Program Council will assess the request.

The final exam consists of the defense of a thesis (worth 12 CFU) on an advanced professional or research topic related to a project carried out by the student. The thesis must be individually written in Italian or English and supervised by one advisor associated with the Department or a professor appointed by the Council. Students can choose the topic of interest for in consultation with one or more professors. Students may select as a supervisor a professor they have not previously attended any courses with.

Students also have the option to combine their thesis project with an internship worth 9 CFU, either in external institutions/companies or internally in university laboratories. The criteria for the final mark are available in the “awarding grades” section of the "Master's Degree" webpage.

For information on the assignment of the final degree grade for the Master's Degree in Electronics Engineering for Automation and Sensing, please refer to the page containing general information on the allocation of final grades and consult the section titled "Master's Degree."
Check the table below listing available external internship opportunities. By clicking on the title of the proposed internship project, you will access the detailed project description.

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TESI E TIROCINIO

Il corso di studi prevede un tirocinio obbligatorio di 9 CFU (l'impegno dello studente previsto per ciascun CFU è pari a 25 ore di attività) che possono essere conseguiti svolgendo attività lavorative all’esterno dell’Università del Sannio (preferibilmente), anche all’estero, presso aziende, studi professionali, società, enti pubblici o altri Atenei, oppure all’interno del Dipartimento, su attività di analisi, sperimentazione o ricerca. Lo studente può richiedere il riconoscimento dei crediti di tirocinio anche per attività lavorative già svolte, purché attinenti alle materie del Corso di Studi e opportunamente documentate; il Consiglio di Corso di Studi, in questo caso, valuterà la richiesta e, se ne ricorrono le condizioni, la approverà. 

La prova finale consiste nella discussione di una tesi di Laurea Magistrale individualmente scritta (in lingua italiana o inglese), relativa ad un progetto elaborato dallo studente nell'ambito delle attività formative seguite, con riferimento ad un contesto professionale avanzato oppure su tematiche di ricerca. Lo studente deve dimostrare di aver conseguito una buona padronanza degli argomenti, la capacità di operare in modo autonomo e una buona capacità di comunicazione. 

La tesi va preparata sotto la guida di almeno un relatore afferente al Dipartimento o di almeno un docente titolare di supplenza o incarico di insegnamento erogato dal Corso di Laurea Magistrale. E' cura dello studente scegliere l'argomento di interesse per la tesi di laurea, consultando diversi docenti al fine di informarsi sui possibili argomenti. La possibilità di svolgere una tesi con un docente non è legata al fatto di aver frequentato un insegnamento del docente stesso. 

L'attività di tesi (12 CFU) può essere collegata al tirocinio (di 9 CFU) svolto in enti/aziende esterne all'Università o internamente, presso i laboratori universitari. 

Per informazioni sull'attribuzione del voto di laurea della Laurea Magistrale in Electronics Engineering for Automation and Sensing consultare la pagina contenente le informazioni generali sull'attribuzione dei voti di laurea e far riferimento a "Laurea Magistrale". 

 

.     SEGUONO PROPOSTE DI TESI DI LAUREA E TIROCINI ESTERNI DISPONIBILI        

Gli studenti interessati alle presentazioni delle proposte di tirocinio possono contattare la professoressa Del Vecchio (delvec@unisannio.it)

 

Proposte di Tirocinio - Laurea Magistrale in Electronics Engineering for Automation and Sensing

Soggetto Ospitante Sede del Tirocinio Docente Tutor Universitario Titolo Progetto di Tirocinio Breve descrizione del progetto
INGV-Osservatorio Vesuviano Osservatorio Vesuviano - Napoli Marco Pisco Integrated acquisition and management system for geophysical, oceanographic, and status sensors for remote multi-parameter monitoring infrastructures The internship aims to train the student in technologies for geophysical and volcanological monitoring. The intern will work on monitoring stations, focusing on the hardware interfacing of multi-parameter sensors and on the software programming of a 32-bit ARM architecture unit (embedded Linux OS).
GEOLUMEN srl Benevento Da definire* Smart LED Lighting – Near Real-Time On-Demand Manufacturing Internship Project The project supports Geolumen’s evolution into a digital platform for professional lighting. The intern will integrate skills in electronics, embedded systems, automation, and IoT with data-driven methods, including product co-design activities, inventory optimization, and support for production planning.
Fondazione CMCC Caserta Carmela Galdi / Silvia Ullo Integration of observational data from in situ sensors, radar, and satellite platforms into high-resolution meteorological models through Data Assimilation techniques The project focuses on integrating observational data into numerical weather models to improve the high-resolution representation of the atmospheric state. The intern will study Data Assimilation principles, analyze observational datasets, and assess the impact of observations on high-impact weather events.
Netcom Engineering Napoli Silvio Baccari AI-driven Semi-physical Models The proposed activity is based on the development of semi-physical models for electromechanical systems of transport vehicles, supported by machine learning and deep learning models for parameter identification. Applications include vehicle dynamics, the powertrain, and the braking system.
TOPVIEW srl San Nicola la Strada (CE) Carmela Galdi Efficient Narrowband Satellite IoT Communications for Next-Generation U-space and Aviation Services The project investigates efficient communication solutions for narrowband satellite IoT systems supporting next-generation U-space and aviation services. The work includes the analysis of data compression methods, protocol optimization, and latency reduction techniques on LEO satellite networks.
Italian Space Agency (ASI) Roma Silvia Liberata Ullo Development and implementation of machine learning techniques for multi-temporal analysis of an area of interest using SAR and/or optical satellite data. The internship aims to analyze the vulnerability of areas at high risk of exposure to natural disasters using SAR and/or optical data. The intern will learn how the results of these analyses can be used to generate application products that support risk management.
INGV Osservatorio Vesuviano - INGV - Napoli Marco Pisco Submersible depth sensing systems for seismic monitoring The objective is to train students on the technologies and remote infrastructure used for geophysical and volcanological monitoring. Particular attention will be devoted to studying the challenges and potential of submersible depth-sensing systems based on electronic and optical technologies.
MBDA Napoli Marco Pisco Key enabling technologies for next generation IR radars The activity is framed within international collaboration programs for the development of innovative radar systems. The objective is to train the student on advanced technologies for dual-band radar systems capable of operating in the infrared (IR) and radio-frequency (RF) domains. A monthly expense reimbursement of EUR 500 is provided.
MAPSAT Benevento Maurizio Di Bisceglie Development and implementation of automated algorithms for Earth Observation and GNSS-R applications The internship focuses on the design and implementation of automated workflows to extract value from optical, SAR, and GNSS satellite data. The candidate will take part in Research & Development activities, working on the optimization of processing chains using Python, Matlab, and cloud computing.
Open Fiber Roma Da definire* New Technologies for Fiber-Optic Telecommunications Networks Development of fiber-optic technologies.
ICS Maugeri - IRCCS di Telese Telese Terme (BN) Luca De Vito Robotic technologies and wearable sensors for neuromotor rehabilitation The activities will focus on research topics related to neuromotor rehabilitation technologies, motion analysis, and the use of wearable sensors. The work will support clinical studies employing innovative robotic systems, with particular attention to defining optimal settings and evaluating rehabilitation outcomes.
Centro Italiano Ricerche Aerospaziali Capua Carmela Galdi Exploring the optimization possibilities of the NEFODINA product using satellite data Exploration of the capabilities of next-generation satellite platforms for aeronautical meteorology. These tools will be used to introduce further improvements to the NEFODINA product, enhancing its ability to detect convection and integrating new information through machine learning.
Mantid srl Benevento Vincenzo Galdi, Andrea Cusano, Giuseppe Castaldi Study, development and optimization of reconfigurable intelligent surfaces (RIS) The project includes research on the theoretical foundations of reconfigurable intelligent surfaces (RIS), numerical simulations to model and optimize the structures, RIS design and prototyping, and practical tests to verify performance.
CERICT Benevento Marco Consales, Francesca Angelone Development of a biomimetic prosthetic palm with integrated fiber optic sensors for robotic and prosthetic applications The internship focuses on the design of sensorized prosthetic components and on the integration of fiber Bragg grating (FBG) sensors into biomimetic materials, with reference to the IH2 Azzurra robotic hand. The geometry of the palm and grasping dynamics will be studied to define the functional specifications of the sensors.
CERICT Benevento Marco Consales, Gaia Maria Berruti Development of an innovative fiber-optic biosensing platform based on plasmonic metasurfaces for the multi-analyte detection of tumor biomarkers The internship is aimed at training the student in Lab-on-Fiber technologies for the development of innovative biosensors. The activity is set within the context of advanced optical sensing for high-sensitivity biomedical applications, with insights into the principles of plasmonic metasurfaces and integration techniques.
DR Automobiles srl Macchia d’Isernia (IS) Marco Consales, Luigi Iannelli Intelligent pneumatic suspensions for the dynamic stability of pickup trucks with variable loads The project involves the development of an electronic system for self-adaptive pneumatic suspensions. The intern will handle requirements analysis, hardware component selection, real-time control algorithm development, and participation in vehicle integration and experimental testing.
CERICT Benevento Marco Consales, Gaia Maria Berruti Structural monitoring of bolted connections in wind turbine blades using fiber-optic sensors on scaled models The internship is aimed at studying and applying Structural Health Monitoring techniques based on fiber Bragg grating (FBG) sensors for monitoring bolted connections in wind turbine blades. The experimental activity will concern the analysis of the strain response of a scaled model.

* Da definire: Per le proposte di tirocinio con tutor universitario non ancora assegnato, si prega di rivolgersi alla Prof.ssa Del Vecchio per maggiori informazioni.

 

Puoi trovare altri progetti di tirocinio accedendo a questa pagina. La loro validità deve essere verificata con il docente tutor universitario indicato