Devices based on polymer spheres are becoming increasingly crucial for applications where a precise and controlled delivery of functionality at the micro-scale is required, especially in industrial applications that require biocompatible and fast-moving products. In line with the disciplinary and thematic areas of the PNRR program, the project focuses on researching the relationships between microstructure, process and properties in order to develop innovative materials to foster a circular and sustainable economy for encapsulation-based technologies, using advanced methods, environmentally friendly products and cost reduction of production processes. Although the physicochemical characterization of the mechanical and surface properties in polymeric microspheres could bring significant benefits for fast- moving goods industry and consumer goods, their optimizations are still hampered by unreliable test methodologies that operate at the relevant dimensional levels and systematically study the interaction between chemistry, properties and performance. Therefore, the present PhD program aims at developing innovative multidisciplinary micro- and nanomechanical methodologies to understand the mechanical behavior of polymeric microspheres, including dynamic and static mechanical properties, surface free energy and the role of different environmental conditions. The program will study the effects of different chemical formulations of the base polymer material in correlation. The PhD program, in collaboration with The Procter &Gamble Company which is one of the leaders in the design of advanced materials and solutions for personal health / consumer health, personal care and hygiene, will be based (training, research and evaluation) at the Department of Civil Engineering, Computer Science and Aeronautical Technologies of the RomaTre University.
Master's degree (MSC), Mechanical Engineering, Experimental Physics, or a related field.
Fluent in written and spoken English (at least C1)
- Proficient in data analysis and machine learning, particularly mechanical data analysis.
- Advanced skills in Python and Matlab programming (knowledge focused on NumPy).
- Knowledgeable in structural mechanics, with experience in Abaqus software (or other Finite Element Modelling software).
- Competency in computer vision and broader computer science principles.
Desirable Skills:
- Familiarity with organic chemistry.
- Familiarity with materials science data analysis, particularly in contact mechanics and big data analysis for mechanical characterization.
- Work with top-tier equipment in our LIME laboratory
- Collaborate with industry leaders in personal and consumer health
- Contribute to sustainable and innovative materials development
- The candidate will receive training in nanomechanical testing, particularly in nanoindentation and microscopy techniques.