PhD Position in Mechanical Engineering: AI-Guided Design of Programmable Metamaterials

Position: PhD Position in Mechanical Engineering: AI-Guided Design of Programmable Intelligent Metamaterials
PhD in Mechanical Engineering

Continui a leggere per comprendere appieno cosa richiede questo lavoro in termini di competenze ed esperienza. Se il suo profilo è in linea, invii la sua candidatura.

Research Title

AI-Guided Design of Programmable Intelligent Metamaterials

The Italian Institute of Artificial Intelligence (AI4I), in collaboration with Politecnico di Milano

The PhD scholarship is funded by the Italian Institute of Artificial Intelligence (AI4I). The project focuses on architected materials, also known as metamaterials. The emergence of intelligent and re-programmable metamaterials — engineered systems whose functional properties arise from geometry and architecture rather than chemistry alone — marks a paradigm shift in how materials interact with their environment. Unlike conventional materials with fixed, intrinsic behavior, these metamaterials can sense external stimuli, process information, and dynamically modify their response in real time.

Such systems hold great promise in fields ranging from vibration and noise control to wearable haptics, soft robotics, and human–machine interfaces. However, the design and control of architectures capable of robust, reversible reconfiguration remain unsolved challenges.

Generative deep learning models (Graph Neural Networks, Diffusion Models, Transformers) to explore design spaces and synthesize architectures with tunable mechanical or electromechanical responses

Physics-informed and multi-objective optimization frameworks, coupling finite-element simulations with AIbased surrogates to enable rapid evaluation and tuning of programmable states

Embedding actuation and sensing mechanisms within the geometric design process, supporting heterogeneous architectures that combine passive load-bearing elements with active functional layers or distributed control nodes

Integration of Large Language Models (LLMs) to assist in translating high-level functional specifications (e.g., “attenuate vibrations in the frequency range 1-10 kHz”) into parametric design constraints

Closed-loop digital workflows that connect AI design, simulation feedback, and experimental data for model-based re-programming of the fabricated metamaterial

Through this synergy between AI-driven design, embedded intelligence, and real-time control, the project will establish the foundations for programmable metamaterials capable of switching functions or adapting to changing environments on demand

The scholarship offers immersion in a multidisciplinary and international research ecosystem, involving collaboration with leading AI scientists and potentially also industrial partners.
Career opportunities could span across research, industry, and technology innovation, where AI and materials design converge. Successful candidates will develop competencies that could be exploited in academic and research positions in computational materials science, mechanics, and AI for engineering design. Potential industrial fields of interest concerning this topic can be aerospace, automotive, and digital manufacturing, among others.
The combination of AI expertise, physical modeling, and collaborative experience will make the candidate potentially competitive for roles in the next generation of AI-driven materials discovery and design.
Employment statistics of PhDs can be found

Monthly net income of PhD scholarship (max 36 months): € 1.500
(Financial aid is available for all PhD candidates (purchase of study books and materials, funding for participation in courses, summer schools, workshops and conferences) for a total amount of € 6.114,50.
Our candidates are strongly encouraged to spend a research period abroad, joining high-level research groups in the specific PhD research topic, selected in agreement with the Supervisor.
750 euro/month- net amount).
Teaching assistantship: availability of funding in recognition of supporting teaching activities by the PhD candidate. The PhD student is encouraged to take part in these activities, within the limits allowed by the regulations.

The opportunity to co-author high-impact publications and help define emerging paradigms in AI-guided materials design.
AI4I – The Italian Research Institute for Artificial Intelligence
AI4I is an Institute that aims to enhance scientific research, technological transfer, and, more generally, the innovation capacity of the Country, promoting its positive impact on industry, services and public administration. To this end, the Institute contributes to creating a research and innovation infrastructure that employs artificial intelligence methods, with particular reference to manufacturing processes, within the framework of the Industry 4.0 process and its entire value chain.

xpavfwm The Institute establishes relationships with similar entities and organizations in Italy and abroad, including Competence Centers and European Digital Innovation Hubs (EDIHs).