How to Apply to ADSAI

Application deadline: June 27, 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 June 27th, 2022 (see the tutorial).

You will need to include (see here for details and templates)

  1. proof of identity (e.g. passport)
  2. curriculum vitae et studiorum focusing on experience prior to the PhD and on degree thesis activity (description of techniques acquired, personal contribution, etc)
  3. university qualifications (including transcript of records)
  4. thesis abstract (please follow this template)
  5. (optional) two letters of reference from lecturers / researchers (Uploading will be done directly by the lecturer/researcher)

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:

Each applicant is first scored a maximum of 40 points based on academic qualifications. Ranking metrics are:

  • curriculum vitae et studiorum (10 points)
  • exams and thesis (27 points)
  • reference letters (3 points) Applicants are automatically shortlisted and invited for interview (in person or remotely) only if at least 20/40 points are achieved. At the interview, a maximum of other 60 points are assigned, with a minimum of 40/60 points required to be considered eligible for ADSAI recruitment.

2022 interviews: 20-22 July 2022.

Available Scholarships

There are 6 positions with free research topics, and additional positions on specific projects

ProjectAdvisorPartner
Free topic (6 positions)
Automated floor planning and routing algorithms for layout of AMS circuitsLuca BortolussiDMG UniTs
Ocean life and plancton biodiversity. Data driven models to describe marine ecosystem functioning and resilienceCosimo SolidoroOGS
Expert systems for decision making support into failure managementMichele SimonatoASAC tech parners srl
Trustworthy Artificial Intelligence: statistical methods supporting an ethical approach to Artificial Intelligence in field of insurance and asset managementAlessandro BonaitaGENERALI ASSICURAZIONI SPA
Artificial Intelligence (AI) and Machine Learning (ML) for the automated classification of the sea-bedSilvia Ceramicola, Luca Manzoni, Veerle Huvenne, Massimiliano GuarrasiDMG UNITS e OGS
Development of AI algorithms for FAIR-by-design approach in scientific data managementStefano CozziniAREA SCIENCE PARK
Development of AI algorithms for Quantum BiologyStefano CozziniAREA SCIENCE PARK
Support to the personalized clinical activity in respiratory medicine via artificial intelligence and machine learning methodsLuca ManzoniDMG UNITS

(Note: positions above which are not yet included in the official call for application will be added in due course.)

Additional Scholarships Funded by EU Recovery and Resilience Plan

A second call for application will include the position financed through EU Recovery and Resilience Plan (PNRR), among which the following are planned.

ProjectAdvisorPartner
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 BiasiolRACHAEL 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 BiasiolRACHAEL srl
Representation Learning Through Generative ModelsSebastiano SaccaniAINDO srl
Causality in Deep-Learning Generative ModelsSebastiano SaccaniAINDO srl
Generation of structured queries to databases with Natural Language Processing techniquesLuca ManzoniPlus srl
Study on machine learning applications to corporate business processes: potential, evolutionary perspectives, technology transfer and managerial training profilesAndrea TracognaMIB
Machine learning approaches for the simulation and discovery of novel ultrastable amorphous materialsDaniele Coslovich
Algorithmic legality in the administrative organizationAndrea Crismani
Network Analysis Methods to evaluate industrial performanceDomenico de Stefano