OFFER DEADLINE28/02/2020 15:00 - Europe/Brussels
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions COFUND
ORGANISATION/COMPANYUniversity of Deusto
DEPARTMENTDeusto for Knowledge research team
6i Dirs A growing attractive collaborative ecosystem for boosting impact driven research
Supported and co-funded by the Marie Skłodowska-Curie programme of the European Commission and over 40 partners, the University of Deusto opens the first call of the 6i Dirs project (http://www.deusto.es/dirs-cofund.es). Through this project, the Deusto International Research School (DIRS) will attract 19 qualified international Early Stage Researchers (ESRs) for high-quality PhD training: 10 candidates will be selected in a first call in the beginning of 2020 while 9 other researchers will be recruited in the second call in 2021.
We are looking for recruiting outstanding international ESRs for high excellent research environment and training the University of Deusto is generating and that combines 6 elements starting with the letter ‘i’: internationalisation, interdisciplinarity, intersectoriality, social impact, innovation and inclusion. The 6i Dirs project encompasses the seven doctoral programmes and 24 excellence research teams with 5 interdisciplinary platforms and 4 interdisciplinary areas within the University of Deusto.
Within Call 2020 there is a choice of 19 selected topics for recruitment. From all candidates applying to these topics, 10 researchers will be recruited in this first call. One of these topics is Developing new machine learning models in the manufacturing process of glass containers. Production optimisation in today's industry is one of the most difficult problems that encompasses both managers, production planners, and maintenance personnel within the industry. This process of optimisation and continuous improvement help to improve the efficiency of the industry. In the same vein, this doctoral thesis is framed within the new paradigm of Industry 4.0 and seeks to optimise industrial processes through the use of machine learning techniques. The main objective of this thesis is to advance in the creation and development of new machine learning models in these processes.
Following European Commission’s requirements, the candidates will be selected via an open, transparent, merit-based, impartial, equitable and internationally advertised procedure, in order to avoid any kind of inequality or discrimination, guaranteeing a fair selection process. Regarding terms and conditions, the selected candidates will sign an employment contract and compulsorily enrol in the corresponding PhD Programme, benefiting from a shared supervision and mentoring process formally inscribed in the Doctoral Agreement and the individualized Personal Career Development Plan. The 6i Dirs project will offered recruited researchers a full programme of training activities, identified by an interdisciplinary group of senior researchers, the industry and other non-academic stakeholders, and designed to develop the skills necessary for excellent research.
Researchers are expected to enrol on 1st October 2020, provided the corresponding authorities have granted the compulsory work permit by that date. The duration of each fellowship will be 36 months to be executed at the University of Deusto. During the fellowship, the ESRs will be encouraged to undertake mobility to an international institution for a period of 3 to 6 months, to be scheduled preferably between the second or third year of the fellowship.
The application process is conducted entirely online via the online platform of the 6i Dirs project. Please, read all the information contained in the Guide for Applicants to 6i Dirs Call 2020 and in 6i Dirs webpage before submission.
Deadline for applications: 28 February 2020.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement Nº 847624. In addition, a number of institutions back and co-finance this project
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