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

[fulvio.frati at unimi.it]

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

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.

 

For further information visit:

 <https://www.ciscproject.eu/> https://www.ciscproject.eu/