Work4CE will address the need for educational resources in order to prepare for the future workplace (work 4.0). Interdisciplinary curricula and modules will be developed and new forms of (virtual) university-enterprise collaboration will be deployed to improve the practical value of the curricula and the employability of the graduates. With the implementation of the successful co-production approach of lecturers, industry experts and member of professional associations new, job-related competences for the workplace of the future (Work 4.0) will be developed. This approach will overcome the gap between academia and industry in the partner countries and equip graduates with competences to cope with the transformation of working environments, to assess where they are and where they want to go (analysis, strategy), to transform to a sustainable working environment, to consider occupational safety and health and environmental protection. Work4CE will focus on the following aims according to the needs analysis:•Education towards the future workplace (Work 4.0) is delivered: the 9 modules will lead to better competences in dealing with the new forms of work. The provision as OER makes it accessible by other Master programmes and for professional education. •Graduates and trained professionals are generated: Work4CE, the consortium members and the Master programmes guarantee a significant (~ 400 graduates p.a.) flow of qualified work force for the digital transformation. •A pool of trained lecturers and experts is established (by the Train-the-Trainer (TtT) concept): the consortium members and industry experts form (open) communities of practice (OpenCoP) and a competence network.•Models for industry-university-cooperation are developed and lead to more practical relevance and better employability. The co-production approach delivers a new quality of job-related competences with fast integration of new top

The development of new paradigms in signal processing and communication technologies during the last decade has allowed a significant jump in the processing speed of complex data, allowing numerous embedded implementations for real-time medical applications and the development of cloud computing tools for bio-engineering. Recent years have also witnessed new research directions in medical image analysis, image guided diagnosis and interventions, and tele-robotic control of mobile machines and manipulators. Applications range from the integration of real-time imaging in image-guided therapy to new concepts for the control of mobile machines to assist medical teams in surgical procedures, or to replace crippled limbs by means of artificial implants designed to provide the user with the original functionality of missing or disabled body parts.The design, manufacturing and maintenance of these robotic units requires a variety of skills from bio-engineers and technicians. The development of such a technologically advanced and innovative curriculum for skilled workers, technicians, undergraduate and graduate students is the primary aim of this consortium. The novel curriculum will train highly qualified professional workers through a combined program of fundamental and applied multidisciplinary knowledge that integrates current research from robotics, digital signal processing (DSP), computer vision, and new materials manufacturing. The participating faculty members are able to draw on research expertise in the fields of DSP, robotics, materials and nanomaterials, design of 3D printing for human body, and manufacturing processes. The main innovative elements of the project are the integration of a multidisciplinary programme with EU-based methodology, extensive use of on-line resources, and interactive teaching. The project will impact the internationalisation of all the institutions involved, as well as the modernisation of the education systems in partner countries.

The wider objective of ALIOT is to provide studies in the emerging field of Internet of Things (IoT) according to the needs of the modern society; to bring the universities closer to changes in global ICT labour market and world education sphere; to give students an idea of various job profiles in different IoT domains. ALIOT will strengthen the internationalisation dimension of the postgraduate programme for higher education systems through the incorporation of Bologna objectives which ensure the transparency of the quality assurance systems, governance and management systems. It will also provides mobility opportunities for staff and students across higher education in Europe and Ukraine. The situation listed in Section E will change when the following specific objectives have been met.Specific project objectives:1. To introduce a Multi-domain and integrated IoT programme for master students in UA universities by September 2019;2. To introduce a Multi-Domain and integrated IoT programme for doctoral students in UA universities by September 2019;3. To provide the mechanism for intensive capacity building measures for UA CT tutors by September 2019;4. To establish Multi-Domain IoT Cluster Network in Ukraine by September 2019.Application domains for IoT-based system: Human {People; Homeland}; Business-critical {Banking; E-business; Telecom}; Safety-Critical {Smart building; Auto and Intelligent transport systems; Ecomonitoring}.The aim of Multi-Domain IoT Cluster Network is to integrate all available and produced curriculum, methodics and tools for providing training and consultancy services in the area of IoT-based systems for different application domains: Human, Business-critical, Safety-Critical. The network will be a means for knowledge sharing, exchange, and transfer. It will also promote public awareness of the cutting edge IoT-related concepts, technologies, and applications.