Academic Year 2023/2024 Ph.D. Program
It is announced that the call for admission to the XXXIX cycle Ph.D. courses has been published on the website https://unige.it/dottorati-di-ricerca
Deadline for application submission: July 10, 2023, at 12:00 PM.
Course Coordinator: Sciomachen Anna Franca | |
Department of Economics (Dipartimento di Economia – DIEC) | |
Places: 4 – Grants: 4 (*) | |
(*) 2 grants funded by Università degli Studi di Genova, the annual gross amount of the grant, including social security expenses to be paid by the recipient, is € 16.500,00 (*) 1 grant funded within D.M. 118 del 2.3.2023 (Pubblica Amministrazione), under condition to the approval of Ministerial funding; the annual gross amount of the grant, including social security expenses to be paid by the recipient, is € 16.500,00 (*) 1 grant funded by Ascom Servizi Srl Unip (IM) | |
Comparative assessment procedure | QUALIFICATIONS/PUBLICATIONS AND INTERVIEW
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Interview | Tuesday 25th July 2023, 9.30 a.m. at Department of Economics (DIEC), Genoa University, Genoa. In case of certified impossibility to be in presence, the interviews may also take place on-line with a Skype or Teams connection, video included to check identity. |
Further information on how to present qualifications/publications | In the presentation of the curriculum vitae, it is important to highlight, as the following aspects will be used as evaluative parameters: publications (e.g., International Journals, International Conferences, Book Chapters), Master's Degree grade (or equivalent title), work experience and skills acquired. A research project proposal (other than the Master's thesis) must be attached and will be an integral part of the candidate's evaluation. In the research project it is important to highlight, as the following aspects will be used as evaluation parameters: Relevance to the research topics that appear in the call for papers, Originality, Method of execution, Feasibility, Clarity of exposition. The presentation of the research project, which should not exceed 5 pages, should identify the logical and methodological approach, research objectives and a preliminary state of the art. |
Exam Syllabus | The interview will aim to verify the candidate's competence in relation to the listed research topics and the methodological ability to deal with research problems. In addition, the interview will also focus on the themes of the research project, inherent to the listed research themes, presented by the candidate. |
Research Themes | Skills related to SEDEM include all those disciplines that can support decision makers, and combine the rationality of quantitative methods with the qualitative understanding of human decision making. Therefore, the committee will test the aptitude and interest in quantitative sciences applied to the development of the combined use of modeling, simulation, data analysis and artificial intelligence in a closed loop with Big Data for the analysis of complex systems. The required skills are therefore transdisciplinary, the fields of application of decision-making methods being multiple. Among them, of greatest interest for the PhD in SEDEM are: logistics and transport, industry and industrial plants, energy generation and management, green transition, safety and security, autonomous vehicles, humanitarian aid management, and public administration.
Exclusively for scholarship related to the call D.M. 351 dated 9.04.2022 (Doctoral Action for Public Administration) the proposed research project must be focused on the analysis of PA data in support of evidence-based policy, with particular reference to local governments such as municipalities and regions. The focus of the research program should be on the treatment and processing of big data available to local PA, aiming to address and resolve issues related to the fragmentation of the information system and the sourcing of data from different fragmented and unconnected information sub-systems, as well as issues related to heterogeneity of data formats and techniques for anonymization of sensitive data in compliance with privacy regulations. The focus of the project should also be on the use of algorithms and models, including artificial intelligence, useful for preparing local policy decision support systems, addressing the issue of quality of life in urban centers and economic and social inclusion.
Exclusively for the grant funded by Ascom Servizi Srl Unip, the research project must focus on the analysis of economic-statistical data aimed at the implementation of territorial areas. The project intends to investigate issues relating to the planning and management of activities for business services. The focus of the project must also be on the use of algorithms and models, including artificial intelligence, useful for preparing decision support systems.
For more detailed information see the following web address: https://sedem.phd.unige.it/home |
Information on references | Candidates must choose not less than one and not more than three referees to support their candidature. The referees must be university professors or experts in the subject and it will be their concern to send reference letters, within the deadline of the public notice, to the Coordinator of the Doctoral Course at the following addresses: sciomach@economia.unige.it. The name, status and service place of the referees chosen by the candidates must be stated in their applications. The candidates’ aptitude for scientific research must emerge from the contents of the reference letters. |
Foreign Languages | English |
Further Information | During the three-year period (and, preferably, during the second year) doctoral students will have to spend abroad a period of the total duration of at least 6 months (possibly also non-consecutive, but in any case - for each fraction - of adequate consistency) to carry out in-depth activities in their respective fields of research. The foreign universities with which co-tutorial collaboration is in operation are:
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