Call for application 42nd cycle

Bando ordinario


Educational goals and objectives

INDUSTRIAL ENGINEERING The PhD in Industrial Engineering at the University of Rome Tor Vergata offers a multidisciplinary education in collaboration with global industrial companies and academic institutions. This model integrates diverse engineering and applied science skills to drive innovative solutions to complex challenges, advancing both industry and scientific research. The program encompasses advanced industrial design, innovative materials, sustainability in energy and environment, biomedical and sports engineering, smart devices, robotics, automation, and diagnostics for cultural heritage.
Students engage in projects that blend mechanical, electronic, IT, chemical, and biological expertise, ensuring a comprehensive research approach. Internationalization is key, with partnerships worldwide, leading to research exchanges, international projects, and co-tutorships. Many global companies support the program, appreciating students’ abilities to tackle design and production challenges through systemic, cross-disciplinary thinking.
The curriculum integrates skills across mechanical, industrial, electronic, materials, energy, physics, chemistry, and life sciences, enabling research in strategic areas beneficial for both industry and academia. The environment promotes innovation and interdisciplinary collaboration.
Main research lines include industrial design, additive manufacturing, advanced materials, sustainable energy, sensors, robotics, automation, diagnostics, and engineering for cultural heritage. The interdisciplinary Academic Board supports ongoing updates of the technical skills required for high-tech sectors.
The program enrolls approximately 80 students, fostering a dynamic, culturally diverse research environment that prepares professionals to address global engineering challenges. The steady 40% international student body reflects its global reach and alignment with international standards. Strong industry partnerships across manufacturing, materials, energy, sensors, and biomedicine provide scholarships, joint research opportunities, and access to advanced facilities, enhancing career prospects and supporting the program’s societal mission.
The Academic Board’s structure, along with departmental labs, external facilities, and participation in competitive projects, ensures a rich training environment. The curriculum features advanced courses, seminars, lab work, and cross-disciplinary training in compliance with Ministerial Decree 226/2021.
This three-year program aims to produce “problem solvers” equipped through academic courses, seminars, research, and hands-on experience. Students gain theoretical, experimental, and technological skills, including modeling and simulation, preparing them for technological innovation. With robust support from both public and private sectors, graduates successfully find opportunities in research, development, and academia, often securing employment shortly after graduation.





Available Positions and Scholarships

University scholarship7University scholarship reserved to foreign applicants0Department scholarship0
Scholarship funded by private research institution0Scholarship funded by private non-research institution0Scholarship funded by public research institution1
Scholarship funded by public non-research institution0PhD position under national research programs1PhD position under EU research programs0
Foreign independent candidates5Employee of private research institution/organisation under a cooperation agreement1Employee of private non-research institution/organisation under a cooperation agreement0
Employee of public research institution/organisation under a cooperation agreement3Employee of public non-research institution/organisation under a cooperation agreement0PhD under higher education and research apprenticeship contract at a private research institution/organisation0
PhD under higher education and research apprenticeship contract at a private non-research institution/organisation0PhD under higher education and research apprenticeship contract at a public research institution/organisation0PhD under higher education and research apprenticeship contract at a public non-research institution/organisation0
No scholarship2

Research topics


Founded by: MUR

Research topic: Development of classification, design, optimization, and generation methods for mechanisms and robotic systems
Description: This scholarship will focus on methods and tools for the creation of a library of open-access 3D models of mechanical elements as ready-to-use design blocks. The blocks will be developed with a custom classification framework of syntax, vocabulary, guidelines and standards to ensure that all the models are modular, scalable, and interconnectable. Finally, the content will be optimized to train a generative model in the creation of new blocks, as well as for the generation of print-in-place functional mechanisms and robotic systems. The ideal applicant has one of the following profiles: - Mechanical or manufacturing engineer (or equivalent/related title) with background in CAD design and 3D printing. - Mechanical or mathematical engineer (or equivalent/related title) with background in mechanism theory, Mechanism & Machine Science, and kinematic modelling. - Computer scientist, software engineer, computational linguist (or equivalent/related title) with background in natural language processing, knowledge representation, AI, LLM, and generative design.
Scholarship type: DOTTORANDO SU PROGRAMMA DI RICERCA NAZIONALE

CUP : E53C25002280001
Principal Investigator: Matteo Russo
Program: FIS 3 – Fondo Italiano per la Scienza
Project: The Kinetic Library: an open-access archive of mechanism designs with prompt-to-print generative AI (ARC3)
UpB: RussoErcFis2024
Lenght: 36
Founded by: 50% ENEA-NUC 50% fondi dipartimentali Gaudio

Research topic: LIDAR techniques in fusion diagnostics and remote sensing
Description: The scope of this fellowship encompasses the design of Thomson Scattering LIDAR and remote sensing diagnostics currently under development by the Nuclear Department (NUC) DTT-OPD Laboratory, within the broader framework of laser-based diagnostics for fusion research. In this context, Thomson Scattering LIDAR is considered as a key approach to remotely retrieve plasma parameters, with emphasis on ensuring consistency between diagnostic requirements and the resulting instrument concept. The project focuses on the engineering and implementation of remote sensing instrumentation aimed at characterizing plasma temperature and density, leveraging the laboratory’s experience and ongoing activities in this field. The work is carried out in partnership with the University of Tor Vergata and the Consorzio RFX in Padua, fostering scientific and technical exchange among complementary competences. Furthermore, potential advancements and future applications within the remote sensing domain will be evaluated, in relation to the maturation of LIDAR techniques and their prospective use in upcoming diagnostic scenarios.
Scholarship type: BORSISTA ENTE ESTERNO PUBBLICO DI RICERCA

Principal Investigator: Pasquale Gaudio
Program: LIDAR techniques in fusion diagnostics and remote sensingnon richiesto
Project: LIDAR techniques in fusion diagnostics and remote sensing
UpB: Eurofusion15Gaudio
Lenght: 36

Self-certification of the academic qualification obtained through Model A:

  • Master’s Degree
  • Single-cycle Degree
  • Specialist Degree
  • Old-system Degree
  • Degree obtained abroad corresponding to EQF Level 7
  • provided that they belong to the following classes: Tutte le classi di Laurea

Admission Procedure

Oral interview The exam aims to evaluate candidates' research aptitude.
The oral component will cover:
a) discussion of the candidate's academic background and prior research to evalaute their research skills and potential;
b) review of the research project and its alignment with the doctoral program's educational goals;
c) evaluation of the candidate's motivation and readiness concerning the program's objectives;
d) proficiency in a foreign language, specifically English.
language INGLESE

Qualifications assessment The evaluation of qualifications aims to assign a score to each type of qualification title that can be assessed.
does not require the presence of the candidates


contacts and info phdindustrialengineering@uniroma2.it

Required documentation

§ research project
mandatory, the file must be uploaded within the call deadline

§ letter of introduction (by a teacher)
The reference letters must be submitted directly by the referees, not by the candidates, in accordance with the procedures specified in the Call for Applications
optional, the file must be uploaded within the call deadline

§ List of publications
optional, the file must be uploaded within the call deadline

§ letter of motivation (by the candidate)
optional, the file must be uploaded within the call deadline

§ Curriculum Vitae
optional, the file must be uploaded within the call deadline

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Oral interview
daynone
notesnone
timenone
classroomnone
addressnone
publication on notice boardnon indicato
publication on the web siteYes
web sitenone
date of publicationnone
contactsnone

Qualifications assessment
daynone
notesnone
La valutazione titoli non prevede la presenza dei candidati.
publication on notice boardnon indicato
publication on the web siteYes
web sitenone
date of publicationnone
contactsnone

Evaluation grid

open file

Università degli Studi di Roma "Tor Vergata" - Via Cracovia, 50, 00133 Roma RM