14 PhD positions are offered within CISC, Collaborative Intelligence for Safety Critical Tasks, a project funded by the European Unions 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
https://euraxess.ec.europa.eu/worldwide/india/europe-14-phd-positions-availa ble-under-msca-itn-project-cisc-intelligence
Application form:
https://forms.gle/nmXjc6ghaFqrYo3E7 https://forms.gle/nmXjc6ghaFqrYo3E7
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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