Open call visiting professors, project leaders & industry experts

Open Call Visiting professors, project leaders & industry experts Master in Design x AI Domus Academy, Milan Starting September 2026 Domus Academy invites designers, researchers, technologists, and creative professionals to join the Master in Design x AI as visiting professors, project leaders, and industry experts for the academic year starting September 2026. The programme explores how designers can create the next generation of AI-infused products, services, and systems, focusing on human experience, interaction, and everyday life. It addresses the evolving relationship between design and artificial intelligence, equipping students to design responsible, meaningful, and innovative AI-enhanced products and services. We are particularly interested in professionals capable of teaching designers how to design with AI as a material, rather than simply how to use AI tools. About the Master in Design x AI Artificial Intelligence is transforming everyday products and services into adaptive, intelligent, and expressive systems capable of anticipating human behaviour and evolving through data. The Master critically examines how designers can shape this transformation through interaction design, product design, and service design. The programme focuses on designing:

AI-powered products and smart objects Connected ecosystems and services Embodied and embedded AI interactions Human–AI collaboration and behaviour-aware systems Ethical, sustainable, and socially responsible AI experiences Students learn through studio-based workshops, research-through-design methodologies, and collaborations with industry partners, developing tangible prototypes and speculative concepts for future AI-driven experiences. Design Vision: From AI as Tool to AI as Material The programme adopts a design perspective in which artificial intelligence is treated as a design material, a medium with distinct behaviours, affordances, and constraints. Rather than engineering models, designers needs to develop material literacy, learning how AI behaves within products, environments, and everyday interactions. This perspective informs the concept of Everyday AI, a design framework exploring how intelligence manifests in ordinary life across objects, environments, and relationships. Key themes include:

Designing AI experiences that are contextual, embodied, and integrated into daily life Moving beyond interfaces toward ambient and embedded intelligence Designing new rituals and behaviours emerging from AI-infused environments Understanding AI within distributed ecosystems of agents, objects, and services Teaching Areas We are seeking faculty with expertise in one or more of the following domains: AI Product & Interaction Design

Designing AI-enhanced products and connected devices Smart objects and adaptive physical interfaces AI-driven user experience and interaction design Embedded & Physical AI

AI embedded in everyday objects Tangible and embodied interaction Robotics and Human–Robot Interaction Ambient and spatial AI systems AI product/service ecosystems Ethical & Responsible AI Design

Transparency and explainability Responsible and sustainable AI Data ethics and algorithmic biases Social impact of intelligent systems Research Methods for AI Design

Research-through-design Speculative critical design Experimental design methodologies Design research for emerging technologies Human–AI Interaction & HCI

Human–Computer Interaction Human–AI collaboration Human–Robot interaction Multimodal interfaces Conversational and agentive systems Multimodal AI Experiences

Designing interactions combining vision, speech, gesture, and sensors AI-driven perception systems Context-aware and adaptive interfaces Multimodal storytelling and experience design Ecosystems & Systems Design

AI-enabled product-service systems Distributed cognition and multi-agent systems Designing AI experiences across objects, environments, and infrastructures Studio & Workshop Teaching Faculty may lead or contribute to studio-based workshops, where students:

Explore AI as a design material Develop experimental prototypes Design AI-infused objects, services, or ecosystems Work with industry partners and real-world briefs Apply research-through-design methodology Workshops often involve conceptual exploration, rapid prototyping, and speculative scenarios that investigate how AI reshapes everyday life. Desired Professional Background We are looking for creative professionals with a strong background in:

Interaction Design Product/Service Design AI Product Design Human–Computer Interaction Robotics or Human–Robot Interaction Creative Technology Design Research Innovation Design Applicants may come from:

Design studios Technology companies AI startups Research labs Institutions Innovation consultancies Industry experience in companies working with AI-enabled products or services is highly valued. Required Competencies Candidates should demonstrate the ability to:

Teach designers how to design AI-powered products and services Translate complex technological concepts into design practice Guide students in prototyping AI interactions Integrate technical possibilities with human experience Lead studio-based design education Facilitate interdisciplinary collaboration between design and technology Fluency in English; all teaching activities, lectures, workshops, and project reviews are conducted in English Generative AI Tools (Optional but Valued) While the focus of the programme is designing AI-infused systems rather than simply using AI tools, expertise in generative AI workflows is more than welcome. Relevant tools may include:

Chat GPT Gemini Claude Midjourney Stable Diffusion / Stability AI Nano Banana PRO Experience with AI video generation tools such as:

Runway Pika Luma Dream Machine Sora (or comparable tools) is considered a strong advantage when teaching concept visualisation, speculative scenarios, and AI-assisted design workflows. Teaching Format Faculty may contribute through:

Short intensive workshops Studio project leadership Lectures, masterclasses and seminars Industry project supervision Final project mentoring The programme follows a hands-on, project-based methodology where students develop projects in collaboration with industry partners and external experts. Location Domus Academy Milan, Italy Ideal Profile The ideal candidate is someone who:

Thinks of AI not only as technology but as a design material and medium Is excited by designing the future of everyday intelligence Can bridge design, technology, and culture Is comfortable teaching in a studio-based design environment Brings industry insight and experimental thinking to the classroom How to Apply Please submit:

CV Portfolio Short cover letter Relevant links (if applicable) In your cover letter, please outline your leadership approach, your teaching perspective, and your alignment with Domus Academy's educational vision. According to the GDPR 679/16 we inform you that the treatment of Personal Data contained in your resume, will respect the principles of legality, fairness and transparency and protection of your privacy and your rights. We only use the personal data we collect for the recruiting activities, such as your name, surname, address, email address, educational and employment background and job qualifications.