2023 applications
As in 2022 there will be two rounds of admissions for the 2023 ADSAI PhD program. Both will be completed before October 2023, as the new PhD cohort will officially start on November 1st 2023. The panels evaluating applicant across both rounds will be likely different, and you can apply multiple times if you wish so.
ADSAI PhD positions are either free-topic, where the student names a superviser and a topic of choice (in agreement with the supervisor), or project-based, where the position is already linked to a research project and a supervisor. The amount of the two types of positions might change across rounds of applications, and every candidate is suggested to check the list of available positions before applying (reported below).
First round of applications (closed: results are available here)
- Opening: May 12th, 2023
- Closing: June 15th, 2023, 13.00 CEST
- Positions: 19, of which 14 project-based.
Second round of applications (closed: results are available here)
- Opening: July 21st, 2023
- Closing: August 21st, 2023, 13.00 CEST
- Positions: 18, of which 2 are reserved.
The ADSAI Open Day recording is available for download.
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 2023
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 August 21st, 2023 (see the tutorial).
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 September 2023 admission panel is:
- Dr. Fabio Anselmi
- Prof. Giulia Barbati
- Prof. Domenico De Stefano
- Dr. Danilo Lewanski
- Prof. Sara Marceglia
- Prof. Luca Manzoni
Selection Criteria
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 15/30 points are achieved. At the interview, a maximum of other 70 points are assigned, with a minimum of 45/70 points 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).
2023 positions (2nd call)
Positions with a fellowship associated.
| Project | Advisor | Partner |
|---|---|---|
| AI for industrial anomaly detection. | beanTech S.r.l. | |
| Supply Chain Hyperautomation. | Cybertec S.r.l. | |
| Digital Twin for Energy Efficiency in Buildings Using Synthetic datasets. details | Dr. Laura Nenzi | |
| Virtual Assistant for Production Planning and Scheduling. details | Prof. Luca Bortolussi | |
| Head data standardization for the secondary re-use of health data in neurological research. | Prof. S. Marceglia | IGEA Casa di cura |
| Multidisciplinary applications of pattern and outlier recognition in Big Data. | Prof. A. Saro | u-blox AG |
| The use of computational methods to study molecular mechanisms of the pathogenesis of B cell chronic lymphocytic leukemia. | Prof. G. Caravagna | TLS |
| Artificial intelligence and digital welfare: processes and implications of an ongoing change. (programma “Pubblica Amministrazione”) | Prof. Arnaldi, Prof. Miele | |
| Responsible artificial intelligence: social forms responsability and implications for policy. (programma “Pubblica Amministrazione”) | Prof. Bortolussi, Prof. Arnaldi | Generali SpA |
| STACK - Machine Learning Techniques for an Adaptive Math Higher Education. (programma “Pubblica Amministrazione”) | Prof. Lewanski, Prof. Rodriguez Garcia | |
| Innovative education and international cooperation via STACK: transforming university mathematics teaching and learning. (programma “Pubblica Amministrazione”) | Prof. Lewanski | IDEMS International |
| Application of artificial intelligence systems to the digitization of cultural heritage. (programma “Patrimonio culturale”) | Prof. Martellos | |
| Modular Verification under Uncertainty in Cyber-Physical Systems. | Dr. L. Nenzi | |
| High Performance Computing for Artificial Intelligence. | Area Science Park | |
| Statistical Models and Algorithms in Sports (SMARTsports). Applications in professional and amateur sports, with able-bodied and disable athletes. | Dr. L. Egidi |
Reserved positions for highly qualified staff of IRCCS Burlo Garofolo.
| Project | Advisor | Partner |
|---|---|---|
| Development of a prioritization algorithm of pathogenic variants based on public databases of different origins. | Dr. Zeviani, Prof. Barbati | IRCCS Burlo Garofolo |
| Multiparameter prediction of perinatal outcomes in fetal growth restriction. | Dr. Zeviani, Prof. Barbati | IRCCS Burlo Garofolo |
Positions without a fellowship associated (i.e., no salary attached).
| Project | Advisor | Partner |
|---|---|---|
| Plants, society, economy, and environment: a multi-factorial analysis. | Prof. S. Martellos |
Assigned positions (1st call)
Positions with a fellowship associated.
| Project | Advisor | Partner |
|---|---|---|
| 5 MIUR free-topic positions, where the recipient will select the research theme. | To be chosen | None. |
| Advanced data mining techniques applied to the urban water cycle. | Idrostudi S.r.l. | |
| Model calibration/parameter data assimilation for bio-optical traits. | Dr. P. Lazzari | OGS |
| Machine learning in marine science: model and data fusion for prediction, interpolation and extrapolation. | Dr. G. Cossarini, Prof. L. Manzoni | OGS |
| Artificial Intelligence (AI) and Machine Learning (ML) on Big data seismology. details | Dr. M. Sugan, Prof. L. Bortolussi | OGS |
| Embodied Artificial Intelligence, Artificial Life, and bio-inspired optimization, representation and learning algorithms. | Prof. Eric Medvet | |
| Development of Machine Learning methods to study clonal evolution from single-cell sequencing datasets and patient-derived tumour organoids. | Prof. G. Caravagna | Ospedale San Raffaele S.r.l. |
| Development of data representation techniques for network monitoring and cybersecurity. | Dr. M. Trevisan |
Positions without a fellowship associated (i.e., no salary attached).
| Project | Advisor | Partner |
|---|---|---|
| Application of Machine Learning methodologies to study high-resolution sequencing data of breast cancer patients. | Prof. G. Caravagna | IFO, IRCCS Istituto Nazionale Tumori Regina Elena (Roma) |
| Analysis of fine-scale variability of ocean processes in coastal areas by integrating deterministic models and artificial intelligence methods. | Dr. S. Querin, Prof. L. Bortolussi | OGS |
| Advanced optimization techniques for the European air transportation system. | Prof. Lorenzo Castelli |
(Note: positions above which are not yet included in the official call for application will be added in due course.)