CISC is a Marie Curie Training Network funded by the European Commission to hire and train Early Stage Researchers (ESR) or PhD student as Collaborative Intelligence Scientists with the expertise and skillset necessary to carry-out the major tasks required to develop a Collaborative Intelligence system
We are now recruiting for Early stage researcher to join the program the deadline to submit an application is the 29th of March 2021. The call is now closed.
The training to be developed in the network will prepare the ESR for the following tasks:
- Modelling the dynamics of system behaviours for the production processes, IoT systems, and critical infrastructures (System Safety Engineering);
- Designing and implementing processes capable of monitoring interactions between automated systems and the humans destined to use them (Human Factors/ Neuroergonomics);
- Using data analytics and AI to create novel human-in-the-loop automation paradigms to support decision making and/or anticipate critical scenarios;
- Managing the Legal and Ethical implications in the use of physiology-recording wearable sensors and human performance data in AI algorithms.
The European Commission’s guidelines on ethics in artificial intelligence (AI), published in April 2019, recognised the importance of a ‘human-centric’ approach to AI that is respectful of European values. Dedicated training schemes to prepare for the integration of “human-centric” AI into European innovation and industry are now needed. AIs should be able to collaborate with (rather than replace) humans. Safety critical applications of AI technology are “human- in-the-loop” scenarios, where AI and humans work together, as manufacturing processes, IoT systems, and critical infrastructures.
The concept of Collaborative Intelligence is essential in these scenarios. The CISC EID will nurture and train 14 world class-leading Collaborative Intelligence Scientists for safety critical situations and provide a blue-print for postgraduate training in this area. 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.