Application deadline: September 12, 2022, 13.00 CEST
Who can apply
Candidates must have acquired a “Laurea magistrale” or equivalent foreign title (giving access to the Doctoral program in the country in which it is issued) by October, 31st 2022
When and how to apply
The application must be submitted through the on line procedure at https://esse3.units.it/Home.do by 13:00 CEST of September 12th, 2022 (see the tutorial). Please note that August 22, 2022 deadline currently shown in official documents will be extended.
You will need to include (see here for details and templates)
- proof of identity (e.g. passport)
- curriculum vitae et studiorum focusing on experience prior to the PhD and on degree thesis activity (description of techniques acquired, personal contribution, etc)
- university qualifications (including transcript of records)
- thesis abstract (please follow this template)
- (optional) publications
All the documents must be translated in Italian or English if issued in a different language.
For further details see the general call for application and the specific call for ADSAI.
Evaluation
Applications will be evaluated by a panel of professors/lecturers and experts. The 2022 admission panel is:
- Dr Ansuini Alessio
- Prof Barbon Jr Sylvio
- Prof Bortolussi Luca
- Prof Coslovisch Daniele
- Prof De Stefano Domenico
- Dr Egidi Leonardo
- Dr D’Onofrio Alberto
Each applicant is first scored a maximum of 30 points based on academic qualifications. Ranking metrics are:
- curriculum vitae et studiorum, publications, and exams (24 points)
- thesis abstract (6 points)
Applicants are automatically shortlisted and invited for interview (in person or remotely) only if at least
15/30points are achieved. At the interview, a maximum of other70points are assigned, with a minimum of45/70points required to be considered eligible for ADSAI recruitment. The interview aims at understanding the motivation and the background of the candidate as well as his/her research interests. At the interview the candidate will also express his/her preferences for specific grants (see below).
2022 interviews: September 2022, date to be announced.
Available Scholarships
All scholarships are funded by EU Recovery and Resilience Plan.
| Project | Advisor | Partner |
|---|---|---|
| Artificial Intelligence methods for the integration of opinion polls, open data, confidential data, CRM of companies and public administrations, digital audiences and data from the web and social networks, with strategic planning and relationship marketing purposes. | Francesco Biasiol | RACHAEL srl |
| Artificial Intelligence methods for the realization of synthetic data starting from opinion polls, CRM of companies and public administrations, digital audiences, open data and data from web and social networks, with the aim of facilitating exchange, integration and of data enrichment. | Francesco Biasiol | RACHAEL srl |
| Representation Learning Through Generative Models | Sebastiano Saccani | AINDO srl |
| Causality in Deep-Learning Generative Models | Sebastiano Saccani | AINDO srl |
| Generation of structured queries to databases with Natural Language Processing techniques | Luca Manzoni | Plus srl |
| Study on machine learning applications to corporate business processes: potential, evolutionary perspectives, technology transfer and managerial training profiles | Andrea Tracogna | MIB |
| Machine learning approaches for the simulation and discovery of novel ultrastable amorphous materials | Daniele Coslovich | |
| Algorithmic legality in the administrative organization | Andrea Crismani | |
| Network Analysis Methods to evaluate industrial performance | Domenico de Stefano | |
| Explainable artificial intelligence for digital twins | Luca Bortolussi | iNEST project |
| Machine Learning and probabilistic methods for digital twins | Luca Bortolussi | iNEST project |
| Artificial intelligence for modular digital twins | Luca Bortolussi | iNEST project |
| Artificial intelligence and formal methods for modular digital twins | Luca Manzoni | iNEST project |
Two additional scholarships on topics related to artificial intelligence and data science to support the construction of a digital twin of North Adriatic see, funded by OGS via project iNEST, will be added in due course.
(Note: positions above which are not yet included in the official call for application will be added in due course.)
Previously Assigned Scholarships
In a previous call, the following scholaships have been assigned.
| Project | Advisor | Partner |
|---|---|---|
| Free topic (6 positions) | ||
| Automated floor planning and routing algorithms for layout of AMS circuits | Luca Bortolussi | DMG UniTs |
| Ocean life and plancton biodiversity. Data driven models to describe marine ecosystem functioning and resilience | Cosimo Solidoro | OGS |
| Expert systems for decision making support into failure management | Michele Simonato | ASAC tech parners srl |
| Trustworthy Artificial Intelligence: statistical methods supporting an ethical approach to Artificial Intelligence in field of insurance and asset management | Alessandro Bonaita | GENERALI ASSICURAZIONI SPA |
| Artificial Intelligence (AI) and Machine Learning (ML) for the automated classification of the sea-bed | Silvia Ceramicola, Luca Manzoni, Veerle Huvenne, Massimiliano Guarrasi | DMG UNITS e OGS |
| Development of AI algorithms for FAIR-by-design approach in scientific data management | Stefano Cozzini | AREA SCIENCE PARK |
| Development of AI algorithms for Quantum Biology | Stefano Cozzini | AREA SCIENCE PARK |
| Support to the personalized clinical activity in respiratory medicine via artificial intelligence and machine learning methods | Luca Manzoni | DMG UNITS |