Application are open for the “Supervisors' project proposals”, listed by the following panels:
| Department | Supervisor | Proposal Title |
| DENG | Carlo Casari | Development of novel materials based on sp-carbon linear nanostructures from fundamental science to applications |
| DCMC | Gabriella Cavallo | Lead-free hybrid organic-inorganic perovskites for optoelectronic applications |
| DCMC | Francesca Baldelli Bombelli | Design of nanoparticle delivery strategy using a tumour-on-a-chip platform |
| DCMC | Piero Macchi | New disruptive coordination network materials for spintronic applications |
| Department | Supervisor | Proposal Title |
| DIG | Tristano Sainati | Governance Structures for Project Financing and PPPs |
| DIG | Chris Hesselbein | Examining the Social Shaping of Scientific Research through Alternative Funding Models and Digital Infrastructures |
| Department | Supervisor | Proposal Title |
| DICA | Giovanni Muciaccia | A holistic approach to establish coupled structural and environmental performances of fastening systems in civil structures |
| DICA | Liberato Ferrara | A) Optimisation of the material safety factor and sensitivity analysis of the key parameters in the shear design of the reinforced recycled aggregate concrete beams |
| DICA | Liberato Ferrara | B) Innovative BeyondTheEarth Construction: Utilizing 3D Printing with Hydrogel-Infused Regolith for Lunar and Martian Structures |
| DICA | Roberto Fedele | Inverse problems for generalized materials |
| DICA | Carlo De Michele | Monitoring and Resilience Assessment of Civil Infrastructures under Climate Changing by Innovative Sensing Technologies and Machine Learning-Assisted Solutions |
| DICA | Enrico Masoero | Degradation of micro electromechanical systems (MEMS) in extreme exposure conditions |
| DABC | Alper Kanyilmaz | Sustainable building structures powered by Artificial Intelligence |
| DAER | Francesco Topputo | Enabling self-driving spacecraft |
| DAER | Gabriella Gaias | Swarm missions to enable innovative space services |
| DENG | Carlo Casari | Development of novel materials based on sp-carbon linear nanostructures from fundamental science to applications |
| DENG | Francesco Causone | Data analysis for energy management at building and urban scale |
| DEIB | Marcello Restelli | Reinforcement learning via representation learning |
| DEIB | Salvatore Andolina | Human-centered AI Methods and Tools |
| DEIB | Simone Garatti | Trustworthy data-driven decision-making via the scenario approach |
| DEIB | Alberto Maria Metelli | Assistive Human-in-the-loop reinforcement learning |
| DEIB | Michele Norgia | Novel laser vibrometer for vital parameter detection, aimed to implement a Hidden Optical Lie Detector (HOLD) |
| DEIB | Maurizio Magarini | Networking nanoscale sensors and transceivers for IoBNT |
| DEIB | Giambattista Gruosso | Integrating Incentive-Based and Reinforcment learning in Electric Vehicles Charging Management |
| DIG | Matthias Klumpp | The Industry 5.0 Paradigm Enacted – Biosensor Research to Support Human-centric Manufacturing and Logistics Process Design in Practice |
| DIG | Giorgio Locatelli | The Dark side of Projects and Temporary organizations |
| DIG | Federico Caniato | Human centric supply chain processes, for a resilient and sustainable purpose, thanks to the adoption of digital technologies |
| DIG | Tristano Sainati | Governance Structures for Project Financing and PPPs |
| DCMC | Alessandro Filippo Maria Pellegata | In-Vitro Disease Modeling: Engineering Hydrogel-Based Models for Tissue Stiffening |
| DCMC | Francesca Baldelli Bombelli | Design of nanoparticle delivery strategy using a tumour-on-a-chip platform |
| DCMC | Pasquale Vena | Design of innovative porous ceramic bone tissue engineering scaffolds allowing for improved vascularization and tissue growth |
| DMEC | Ali Gökhan Demir | Advanced manufacturing and repair processes for a sustainable and resource efficient civil construction sector |
| DMEC | Stefano Manzoni | Vibration control and system monitoring through smart materials |
| DMEC | Paola Saccomandi | Novel solutions for intraoperative control and patient-specific planning of the thermal ablation therapy for cancer treatment. |
| DMEC | Gisella Tomasini | Train aerodynamics optimization by using AI-based approaches |
| DMEC | Serena Graziosi | Unlocking Complexity in Design for Additive Manufacturing |
| DMEC | Francesco Ferrise | Behavioral models for human digital twins |
| DMEC | Massimiliano Gobbi | NVH of electric powertrain for heavy-duty vehicles |
| Department | Supervisor | Proposal Title |
| DASTU | Luca Maria Francesco Fabris | Brownfields as Sustainability Catalysators |
| Department | Supervisor | Proposal Title |
| DMEC | Paola Saccomandi | Novel solutions for intraoperative control and patient-specific planning of the thermal ablation therapy for cancer treatment |
| DASTU | Luca Maria Francesco Fabris | Brownfields as Sustainability Catalysators |
| DCMC | Alessandro Filippo Maria Pellegata | In-Vitro Disease Modeling: Engineering Hydrogel-Based Models for Tissue Stiffening |
| Department | Supervisor | Proposal Title |
| DFIS | Edoardo Albisetti | Tailoring multiferroicity at the nanoscale in functional oxides via phase nanoengineering |
| DENG | Carlo Casari | Development of novel materials based on sp-carbon linear nanostructures from fundamental science to applications |
| DFIS | Dario Polli | Label-free optical microscopy of cells and tissues |
| DFIS | Paolo Biagioni | Superchiral fields for surface-enhanced chiral sensing |
| DFIS | Michele Celebrano | Enhanced nonlinear optics in 2D hybrid systems based on transition metal dichalcogenides coupled to nanostructures |
| Department | Supervisor | Proposal Title |
| DIG | Matthias Klumpp | The Industry 5.0 Paradigm Enacted – Biosensor Research to Support Human-centric Manufacturing and Logistics Process Design in Practice |
| DIG | Raffaella Cagliano | Human-centric organizational models – organizational implications of Industry 5.0 paradigm |
| DIG | Michela Arnaboldi | Digitally preserving companies’ history and cultural heritage for the future |
| DIG | Deborah Agostino | Artificial intelligence for inclusive and sustainable public services |
| DIG | Cristina Masella | Co-assessment in healthcare setting: insights from Italy and UK |
| DIG | Chris Hesselbein | Examining the Social Shaping of Scientific Research through Alternative Funding Models and Digital Infrastructures |
| DMAT | Giovanni Valente | Analogical Reasoning in AI: Philosophical Perspectives |
| DASTU | Carolina Pacchi | Just Cities in the Digital Era. Planning Tools in Hybridscapes |
| DASTU | Luca Maria Francesco Fabris | Brownfields as Sustainability Catalysators |
Application deadline: (7 May 2024) POSTPONED May, 21th 2024
Candidates will be pre-selected based on their expression of interest, CV and motivation.
There are 3 main requirements of eligibility:
- Applicants must have a PhD and no more than 8 years of full time research experience*
- Applicants can be of any nationality but must not have lived or worked in Italy for more than 12 months during the 3 years up to the closing date of the call 11 September 2024 (mobility rule)
- The applicants must choose the Politecnico di Milano as their Host Institution
In order to apply applicants must choose one of the "Supervisors project proposals" and send the following forms as pdf files to: mscamasterclass(at)polimi.it
- Curriculum vitae and publications list
- Letter of motivation and research statement
- Eligibility Self-declaration
All forms are compulsory.
The Politecnico di Milano team will verify candidates eligibility and send the applications to Supervisors taking in consideration the choice expressed by candidates in their application forms.
Supervisors will select one candidate per each “Supervisor project proposal”.
The selected candidates will be contacted by Politecnico di Milano team and will be invited to attend the MSCA MASTER CLASS.
Please contact mscamasterclass(at)polimi.it for any questions on the funding scheme and the MSCA program.
* The researcher must be, at the date of the PF call deadline (11.09.2024) in possession of a doctoral degree. At the call deadline, supported researchers must have a maximum of 8 years full-time equivalent experience in research, measured from the date that the researcher was in a possession of a doctoral degree. Years of experience outside research and career breaks (e.g. due to parental leave), will not be taken into account.