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The European Commission, in its guidelines on ethics in artificial intelligence published in April 2019, has recognised the importance of a 'human-centric' approach to AI that is respectful of European values. Dedicated training schemes to prepare for this required socio-economic change are now needed. AIs should be able to collaborate with (rather than replace) humans. Safety critical application of AI technology are ‘human-in-the-loop’ scenarios, where AI and humans work together, as manufacturing processes, IoT systems, and critical infrastructure (System Safety Engineering). The concept of Collaborative Intelligence is essential in these fields: The CISC EID will nurture and train 14 world class-leading Collaborative Intelligence Scientists and provide a blue-print for postgraduate training in Collaborative Intelligence for safety critical scenarios. The development of Collaborative Intelligence systems requires an interdisciplinary skillset blending expertise across AI, Human Factors, Neuroergonomics and System Safety Engineering. This inter-disciplinary skill-set is not catered for in traditional training courses at any level. The CISC training programme will develop Collaborative Intelligence Scientists with the expertise and skillset necessary to carry-out the major tasks required to develop a Collaborative Intelligence system: (1) Modelling the dynamics of system behaviours for the productive processes, IoT systems, and critical infrastructures (System Safety Engineering); (2) Designing and implementing processes capable of monitoring interactions between automated systems and the humans destined to use them (Human Factors/Neuroergonomics). (3) Using data analytics and AI to create novel human-in-the-loop automation paradigms to support decision making and/or anticipate critical scenarios. (4) Managing the Legal and Ethical implications in the use of physiology-recording wearable sensors and human performance data in AI algorithms.