Open Calls

Advisor: Prof. Maristella Matera

Keywords: large language model, ai, accessibility, interfaces

LLMs are revolutionizing our interaction with machines thanks to their ability to understand user intents from natural-language prompts. Their new multimodal capabilities enable an intuitive UX, bridging the gap between human intention and machine execution with benefits for usability and also inclusivity. However, a critical question remains: how can we leverage this increased interpretation ability to unlock disruptive interaction paradigms and “fluid” UIs that increase users’ productivity, also advancing accessibility and inclusivity? And how will this transition materialize in practical terms? In this context, the research conducted by the doctoral student will investigate how LLMs can help create adaptive prompt-driven multimodal UIs to support efficient ways of performing digital tasks. LLMs will help i) interpret user needs and goals, and ii) dynamically generate strategies and plans for interfaces and interactions. The characterizing features of this new interaction paradigm, the interaction patterns, and the building blocks of the new interfaces will be identified through intensive user reseach and formalized within a development framework contributing with a novel design system and a UI toolkit. Accessibility of the resulting paradigm will be prioritized.

• Computer Science and Engineering
• PNRR-sponsored

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Advisor: Any faculty member can act as research advisor

Keywords: Communications, Networks, Transmission systems, Remote Sensing, Signal Processing

The research field Telecommunications is focused on the design and implementation of devices, systems, networks (Internet, wireless networks, optical networks), services, and applications for the transmission and the processing of any type of signals (including audio, video, RADAR) and multimedia information. Particular attention is given to advanced networks and transmission systems for mobile and fixed users and to remote sensing applications aiming at earth observation and sub-soil exploration. The strong connection with leading companies (within and outside the telecommunication market) makes the mix between theory and application one of the strengths of the Telecommunications research field at Politecnico di Milano.

• Telecommunications
• Generic

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Advisor: Any faculty member can act as research director

Keywords: Control systems, Dynamics of complex systems, Operations research and discrete optimization, Planning and management of environmental systems, Robotics and industrial automation

The research in this area is devoted to Control Systems Science, Systems Theory, Ecology, and Operations Research. Despite the rich variety of topics, both theoretical and application-oriented, a unifying system level viewpoint is generally adopted, which enables the analysis, the management, and the design of complex systems through the powerful theoretical tools of mathematical modeling. A significant part of the basic and applied research activity, together with advanced teaching, is supported by the experimental facilities available in the laboratories. The section's research activities can be grouped in the following lines: - Control systems: focused on Control design, Model identification and data analysis, Automation of vehicles and transportation systems, Automation of energy systems. - Dynamics of complex systems: focused on Nonlinear dynamical systems, Bifurcation analysis, Emerging collective dynamics in networks of systems. - Operations research and discrete optimization: focused on Mathematical programming, Combinatorial optimization, Stochastic programming, Robust optimization, Bi-level programming and Continuous approximation models. - Planning and management of environmental systems: focused on Mathematical models for quantitative analysis, Computer-based decision support quantitative analysis, Computer-based decision support tools, Sustainable use of resources. - Robotics and industrial automation: focused on Mechatronics, Robotics, Process modeling, simulation and control, Automation of manufacturing systems and industrial plants.

• Systems and Control
• Generic

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