Digitization has technical (“Can we do that?”) and economic (“Do we want that?”), but also ethical (“Should we?”) and legal (“May we?”) aspects. Of course, this also applies to innovations in the financial sector. Economists, technicians and lawyers are therefore needed to assess these. These must talk to each other, but above all understand each other and think together.
Peter Merian-Strasse 86
Future Finance Institute Switzerland is an independent Swiss academic institution focusing on exclusive digital further education for financial professionals. Its goal is maximum practical relevance and topicality, combining finance & technology. The faculties consist of an unparalleled & novel mix of seasoned lecturers who are experienced Swiss banking and insurance professionals, cutting edge technologists as well as FinTech entrepreneurs.
All FFI programs are designed in Switzerland for a global, English-speaking audience of finance professionals.
Education, Training, Finance, Fintech, Technology
As a leading national institution for applied research and development in mechatronics, the Institute of Mechatronic Systems (IMS) specialises in innovative projects at the interface of mechanics, electronics and information technology. The concentrated know-how of over 50 employees from a wide range of disciplines and a modern research infrastructure make us your flexible and efficient partner for the realisation of your projects in research and development.
Mechatronics, robotics, control engineering, power electronics, drive technology, Industry 4.0 / 5.0, digitalisation in industry, AI in robotics, human-robot collaboration, systems engineering, medical technology, 3D printing
The Institute for Sustainable Development (INE) looks at technological, economic and social changes and their complex interactions from a sustainable perspective. In applied research, we identify future requirements for technologies and their sustainable linkage in systems. We focus on the topics of “Sustainable Energy Systems”, “Sustainable Supply Chain and Mobility” and “Risk Management and Technology Assessment”.
Transformation of socio-technical systems
Sustainable energy systems, energy efficiency
Smart Cities and Regions
Individual behaviour, real laboratories
Sustainable value chains
The Swiss FinTech Innovation Lab is a cross-disciplinary research program on the global phenomenon of innovation in the financial industry induced by “Financial Technology” (FinTech).
It involves researchers from banking and finance, business informatics, innovation management, strategic management, marketing, social sciences, economics, and many other disciplines. The lab`s goal is to conduct research on the topic of digitisation in the financial services industry together with participants from the whole value chain, including banks, insurers, providers, regulators, and various other organizations and associations from the FinTech ecosystem.
Hosted at the Department of Banking and Finance at the University of Zurich, the Swiss FinTech Innovation Lab cooperates with a broad international network of universities like for example ETH Zurich, University of St. Gallen, MIT, Harvard, Stanford, University of Hong Kong, Singapore Management University, and many others.
The Swiss FinTech Innovation Lab focuses on research, education and innovation.
RobotX brings together and develop the strong competences of ETH in Robotics through a research and educational platform located in the heart of Zurich to train new talent, attract worldwide experts, and to sustainably grow ETH into the world-leading institute in this field.
Materials and technologies for a sustainable future.
Empa is the ETH Domain’s interdisciplinary research institute for materials science and technology development. As a bridge between research and practical application, it develops innovative solutions for the priority challenges of industry and society in the areas of nanostructured, “smart” materials and surfaces, “advanced manufacturing”, environmental, energy and sustainable building technologies as well as personalised medicine and medtech applications. By transforming research results into marketable innovations thanks to efficient technology transfer together with industrial partners, Empa makes a significant contribution to enhance the innovative strength and international competitiveness of the Swiss economy, true to its motto: “Empa – The Place where Innovation Starts”. Careful use of our natural resources and thinking in terms of closed cycles are central to Empa’s work.
Materials research; technology development; advanced manufacturing; energy, construction and building technologies; resource efficiency; Net Zero; Medtech; technology transfer; industrial cooperation
Excellence in entrepreneurship at ETH Zurich is driven by world-class research and education. It gives rise to groundbreaking new ventures that consolidate Switzerland’s technological leadership. Are you an aspiring entrepreneur seeking to find solutions to global challenges and create a better future for humanity. Or are you just interested in the entrepreneurial ecosystem at ETH Zurich? Browse our websites to find out more or reach out to the Entrepreneurship group, if you have any questions.
Stampfenbachstrasse 52, 4.Stock
The Z-Kubator, as part of the Zurich Centre for Creative Economies (ZCCE), promotes the development of independent artists, cultural producers and designers at Zurich University of the Arts by mixing aesthetic ideas with entrepreneurial practices.
Toni-Areal, Pfingstweidstr. 96
Incubation of artistic careers and creative startups, transdisciplinary collaborations in the context of impact-oriented innovation and entrepreneurship
The Center for Sustainable Future Mobility (CSFM) will serve societal needs by addressing the grand challenges of the transport sector. The mission of the center is to deliver research-based contributions to the design and implementation of sustainable transport systems which will be safe, reliable, fast, socially desirable, environmentally friendly, and cost efficient.
Interdisciplinary research on sustainable future mobility
An interdisciplinary team led by Prof. Michael Krauthammer that is affiliated with the University Hospital of Zurich and the Department of Quantitative Biomedicine at the University of Zurich. We are working on biomedical informatics projects and machine learning research in healthcare.
Biomedical informatics, meachine learning, bioinformatics, translational research
At the Institute for Computational Life Sciences (ICLS), we see ourselves as mediators between basic research and practical applications in business and society.
We create solutions in the field of Data Science and Computation for the Life Sciences. In the field of bioinformatics, we operate at the interface of biology, medicine and computer science. With cognitive computing, we offer new solutions in the life sciences based on the fundamental understanding of man and machine as an overall learning system. However, we also research and work on digital transformation in “Computational Health” and “Digital Labs & Processes” – always with a focus on the benefits for people and organizations.
Bioinformatics, Cognitive Computing for Life Sciences, Computational Health, Digital Labs & Production
At the Institute of Natural Resource Sciences (IUNR), we are committed to the sustainable use of natural resources and the preservation of an intact environment.
Our research is oriented towards the interfaces between society, environment and technology. For us, society is the linchpin for issues relating to the environment and sustainability. We regard the environment as a habitat, a field of action and a mirror of society. For us, technology is an instrument of people and an important factor influencing the environment. We inspire and empower sustainable use of natural resources, teach and research with commitment – networked, digital, implementation-oriented – and provide answers to global challenges.
Sustainability transformation, biodiversity and ecosystems, agroecology and food systems, closed-loop and energy systems, climate change mitigation and adaptation.
The Robotic Systems Lab (RSL) develops machines and their intelligence, enabling them to operate autonomously in rough and challenging environments. With a focus on robots with arms and legs (e.g., quadrupedal robots, mobile manipulators, hybrid wheel–leg systems), the lab’s research subjects include novel actuation methods for advanced dynamic interaction, innovative designs for increased system mobility and versatility, and new control, optimization and learning algorithms for locomotion and manipulation.
Robotics, Actation, Autonomy, Control, ML
The Center for Augmented Computational Design in Architecture, Engineering and Construction, more commonly referred to as ‘Design++’, aims to develop digitally augmented design tools and computational processes that will enable experts to simultaneously increase construction productivity, improve the quality of the built environment, and substantially reduce the ecological impact within Architecture, Engineering and Construction (AEC). Design++ integrates artificial intelligence (AI), with a focus on machine learning (ML) and extended reality (XR) for design and engineering as they hold great promise to revolutionise design processes in the AEC industry.
HCP G 36.1, Leopold-Ruzicka-Weg 4
Architecture, Engineering, Construction, computational design, artificial intelligence (AI), machine learning (ML), extended reality (XR), virtual reality (VR), Augmented Reality (AR), mixed reality (MR)
As ETH Zurich’s central hub for artificial intelligence, we bring together researchers of AI foundations, applications, and implications across all departments. We foster research excellence, industry innovation, and AI entrepreneurship to promote trustworthy, accessible, and inclusive AI systems.
Integrative on all levels. We are devoted to patient care, research and teaching. Our research has a focus on digital health for mind and body. We address research questions from different phases of the research cycle from translational research to implementation research and conduct clinical trials and systematic reviews. We use a broad spectrum of quantitative research methods and mixed methods and involve patients in a participatory research approach.
Digital health for mind & body, mHealth intervention research, stakeholder engagement
At the Institute for Facility Management (IFM), we are committed to sustainable real estate, intelligent building systems, healthy workplaces and innovative service offerings.
We make successful real estate and facility management possible. Our specialists design sustainable infrastructures and processes, are committed to innovation and always keep the users in mind. In this way, we support the main activities of companies and public administrations, taking into account economic, ecological and social aspects. In the context of increasing digitalisation, we are also active in research with a focus on the needs of practice.
We deal with the development, adaptation and implementation of digital technologies and methods in real estate management. This includes, for example, virtual design, construction and operation with the corresponding technologies. Our guiding principle is: "Digital tools and methods are developed, adapted and implemented to increase the performance and quality of assets and processes".
FM in Healthcare and Active Assisted Living (AAL)
We are active at the interface of non-medical support services in healthcare institutions and outpatient care. For services in hospitals, catering and hotel businesses, we develop solutions and advise on the optimisation of work processes or the FM strategy. With AAL, we want to support life for older or impaired people with a view to independent living.
Sustainability in FM
We create solutions for owners, users and operators to help organisations achieve their sustainability goals. For example, adaptive re-use models can be used to extend the life of assets. Partners benefit from our years of experience and an excellent network, such as the Swiss Society for Sustainable Real Estate (SGNI).
We examine the design and management of working environments with regard to the integration of spatial, human and organisational factors. The economically and ecologically sensible and the individually desirable should be combined, such as what effects the working environment has on the health, performance and satisfaction of the employees.
The Data Science for Sciences team researches at the frontier of machine learning, computer vision, and remote sensing to solve scientific questions in the environmental and earth sciences. Our goal is to develop original, data-driven methods to automatically analyse environmental data at very large scales. We work closely with our colleagues in ecology to jointly find new ways to protect our environment on a global scale using artificial intelligence. Scientific projects include global mapping of vegetation parameters such as tree canopy height and carbon stock with very high spatial and temporal resolution, monitoring agricultural land, predicting water levels in flooding scenarios or setting up a rapid alert system to detect forest degradation. On the technical side, we are investigating exciting topics such as quantifying uncertainties in deep learning, explainable artificial intelligence, graphical neural networks, and time series analysis with transformers. We believe that interdisciplinary research is the key to scientific breakthroughs and we always strive to put our research into practice by collaborating with NGOs, companies, and public administration.
Geospatial Computer Vision, Large-Scale Machine Learning applied to Ecology, Remote Sensing, Deep Convolutional Neural Networks, Photogrammetry
The “Institute of Neuroinformatics” (INI) was founded at the end of 1995 at the University of Zurich and ETH Zurich. The Institute’s mission is to explore the key principles by which brains function and to implement them in artificial systems that interact intelligently with the real world.
Winterthurerstrasse 190, Institute Of Neuroinformatics, University Of Zurich And Eth Zurich
Mixed-signal analog/digital circuit design. Spiking neural network models and hardware implementations. Bio-signal processing, classification and recognition. Bio-medical signal anomaly detection. Real-time, low-power, sensory processing (audio, vibrations, etc.). Embedded neuromorp hic computing systems. Edge-computing intelligent processing systems.
Computer science drives digitalisation and plays a major role in determining the future of our information society. The Institute for Applied Information Technology (InIT) stands for research and development in diverse subject areas of informatics and develops practical solutions for challenging problems in cooperation with company and university partners. Since 2005 we have been your flexible and efficient partner with around 85 employees from various departments and our modern research infrastructure.
Obere Kirchgasse 2
The InIT is divided into five research groups that deal with current topics in computer science: Distributed Systems, Human-Centered Computing, Information Security, Intelligent Information Systems, Software Engineering
The Department of Computational Linguistics researches and teaches in the fields of computational linguistics, language technology, phonetics and speech signal processing, and digital linguistics.
natural language processing, text technology, speech signal processing, phonetics, machine learning
Application-oriented research and development in the interdisciplinary field of mechatronics and automation. Fields of competence: Industrial Automation, Life Sciences, Robotics, Smart Farming, Medical Engineering
Technical expertise in robotics, rehabilitation robotics, laboratory automation, industrial automation and life sciences; MedTech Lab, interdisciplinary competence centre in Heathtech, Innovation Booster User-Centred Innovation in Medtech and Digital Health.
The Wyss Zurich Translational Center – or Wyss Zurich for short – is a joint accelerator of the University of Zurich and ETH Zurich (Swiss Federal Institute of Technology Zurich), established through a generous donation by Swiss entrepreneur and philanthropist Dr. h.c. mult. Hansjörg Wyss. It was founded to promote translational research focused on the development of treatment protocols and clinical therapies as well as novel technologies and intelligent systems in the emerging fields of regenerative medicine, robotics and their hybrid technologies. Wyss Zurich brings together world-leading experts from both institutions in multidisciplinary teams that combine their knowledge and experience. For more information, please visit www.wysszurich.ch.
Weinbergstrasse 35, WEH, ETH Zurich / University of Zurich
Funding for personnel expenses & translational R&D; Funding for early-phase clinical trials; Access to technology platforms & infrastructure; Coaching / matching with business experts
The LOOP Zurich is a medical centre for translational research and precision medicine. It focuses on new approaches, better diagnostics, and novel therapies for the benefit of patients and society. The goal is the efficient transfer of scientific findings into medical application for personalised healthcare.
The six founding institutions of The LOOP Zurich are the University of Zurich (UZH), the Swiss Federal Institute of Technology Zurich (ETH), and the following university hospitals: Zurich University Hospital (USZ), Zurich University Children’s Hospital (KiSpi), Balgrist University Hospital, and Zurich Psychiatric University Hospital (PUK).
Clinical research; biomedical informatics; precision oncology; precision neurorehabilitation; COVID-19 research
The ZHAW Digital Health Lab brings together experts from the fields of biomedicine, health, technology, and business, who together create innovations for digitalisation in the healthcare sector. As a competence network, we work with our partners to develop solutions to current challenges in the healthcare sector. In doing so, we exploit the potential of our interdisciplinarity. We focus on results-oriented cooperation with our network and are valued as a competent partner.
State analysis of current problems and processes in the healthcare sector; Conceptual design of practical solutions; Technology consulting and innovation management; Prototyping and testing; Digital and analogue simulations; Success measurements as evidence; Preparation of market analyses and business plans; Health economic evaluations; Scientific and practice-related publications; Workshops, training, hackathons
The UZH Digital Society Initiative (DSI) is the University of Zurich’s center of excellence on digital transformation and its impact on society. To this end, the DSI promotes intensive collaboration between scientists from different disciplines and institutions who conduct joint research on selected topics of the digital society.
Digitalisation, Digital Transformation, Cybersecurity, Democracy, Ethics, Gaming, Health, Mobility
Our research focus is at the intersection of information visualisation, visual analytics, human-computer interaction, and machine learning. Our projects take a human-centred approach to data science to promote human engagement in the data analysis process with interactive visual interfaces. Our research looks at combining the strengths of humans and machines in an iterative and incremental data analysis process to address the remaining challenges of data science.
Information Visualization, Visual Analytics, Human-Computer Interaction, Machine Learning, Data Science, User-Centered Design
The Robotics and Perception Group is part of the Department of Informatics, at the University of Zurich, and the Department of Neuroinformatics, which is a joint institute of both the University of Zurich and ETH Zurich.
Our mission is to research the fundamental challenges of robotics and computer vision that will benefit all of humanity. Our key interest is to develop autonomous machines that can navigate all by themselves using only onboard cameras and computation, without relying on external infrastructure, such as GPS or position tracking systems, nor off-board computing. Our interests encompass predonimantly micro drones because they are more challenging and offer more research opportunities than ground robots.
Robotics, Computer Vision, Machine Learning, Autonomous Systems, Unmanned Aerial Systems, Agile Drone Flight, Drone Racing, Event-Based Vision, Vision-Based Navigation of Micro Aerial Vehicles, Visual-Inertial Odometry, Multi-Robot Systems
The ZHAW Centre for Artificial Intelligence (CAI) is a hub for excellence in applied AI research and application. Our mission is to advance human-centric and trustworthy AI research in Switzerland, thereby providing students with career opportunities in the AI sector, attracting young talent and addressing the great challenges of our time through innovative use of AI. We believe in the power of interdisciplinary collaboration and engaging in dialogue with the research community, with our students, and with our industry partners.
The CAI focuses on machine learning and deep learning in the following areas: Computer vision, perception and cognition (incl. pattern recognition, machine perception and neuromorphic engineering);Natural language processing (i.e., dialogue systems, text analytics and spoken language technologies); Autonomous learning systems (reinforcement learning, multi-agent systems and embodied AI); Trustworthy AI (explainable AI, robust deep learning, AI & society); and AI engineering (MLOps, data-centric AI and continuous learning)
feminno offers all female scientists (from life sciences, natural sciences, medicine, health, psychology and tech) the opportunity to bridge research from an academic perspective with innovation, entrepreneurship and industry.
Tannenstrasse 3, c/o ETH Zurich, CLA E 32.2
Entrepreneurship, Startup, Life Sciences