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14 Marie Sklodowska-Curie Early Stage Researchers/Ph.D. Students - ITN: CISC - Collaborative Intelligence for Safety Critical Tasks - Multiple locations

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14 PhD positions are offered within CISC, Collaborative Intelligence for Safety Critical Tasks, a project funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 955901.

Topic areas
- Artificial Intelligence, machine learning and data analytics applied to production systems
- Human Factors and Neuroergonomics
- System safety engineering in automated systems
- Legal and Ethical aspects for AI algorithms and human sensory data collection

Ph.D. awarding institutions: TU Dublin, Università degli Studi di Milano (UMIL), Politecnico di Torino (POLITO), 
Fakultet Inzenjerskih Nauka Univerziteta U Kragujevcu (FINK).

Locations of the positions: Ireland, Italy, Serbia, Spain, Belgium, Danemark, Austria, Nederlands

Information about the individual positions

Application form: 

The ESR positions open are: 
ESR 1 (TU Dublin): Model to predict Human Performance for collaborative intelligence applications. - 
ESR 2 (TU Dublin): Active Learning for Fault Assessment and Diagnosis. - 
ESR 3 (TU Dublin + HUGIN): Building of BBN from process safety data for decisions support and diagnostic of safety critical equipment status. - 
ESR 4 (POLITO): Process Safety Data modelling for human-in the loop configurations in process control. - 
ESR 5 (POLITO+SCCH): Reinforcement Learning approach as an on line learning method. - 
ESR 6. (FINK+MBRAINTRAIN): Utilizing data from physiology-recording wearables to asses cognitive load for near real time assessment. - 
ESR 7 (FINK): Architecture to acquire real-time physical ergonomic assessment in the workplaces of the future- 
ESR 8 (UMIL): Deep Learning for Human Performance Analysis and Prediction in Safety Critical Human Computer Interactions. - 
ESR 9. (POLITO+MATHEMA): Human Computer Interaction: innovative information support and cyber security challenges     -     
ESR 10 (DIGITAL SME): Legal and Ethical implications for the collection and use of data from physiology-recording wearables & AI algorithms for future workplace - 
ESR 11 (POLITO+IVECO): Setting up a LIVE-LAB for Human-machine performance monitoring and prediction in automotive sector - 
ESR 12 (TU Dublin+IMR): Industrial engineering lab for Collaborative robotics. The setting of a modular testing and training environment. - 
ESR 13 (TU Dublin + PILZ): Innovative approach for Safety assessment  models in of Human-robotics collaboration -  
ESR 14 (FINK+ADIENT): Development of advanced methodology for efficient job rotation performing human robotics collaborative tasks -

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 production 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; and, (4)
Managing the Legal and Ethical implications in the use of physiology-recording wearable sensors and human performance
data in AI algorithms.

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