Marie Curie Early Stage Researcher – MOIRA – Multi-sensor quality inspection based adaptive control system

H2020 FRAMEWORK PROGRAMME

Marie Skłodowska Curie European Training Network (ETN)

Grant Agreement 955681

IKERLAN, in Arrasate, Spain, will have an open PhD position in the frame of the European Training Network on Monitoring Large-Scale Complex Systems (“MOIRA”), funded by the European Commission through the H2020 “Marie Skłodowska-Curie Innovative Training Networks” (ITN) program.

The objective of the MOIRA project is to develop the next generation of knowledge discovery methodologies, algorithms, and technologies, so enabling data-driven, plant-wide fleet monitoring, with the focus on real-time diagnostics and prognostics. This objective will be achieved by having 15 early-stage researchers (ESR).

The ESR will become part of the Control and Monitoring research team of IKERLAN and it will be enrolled as a PhD student in the UPV-EHU doctorate school.

PhD Project Description:

The ESR will develop a new multi-sensor quality inspection system combining data from both vision and control systems. The obtained heterogeneous data will feed a machine learning based self-adapting mechanism of industrial control systems.  This quality monitoring system will be based on a complex vision system combining quality information with process operation data. The integration of the multi-sensor quality inspection system with advanced control and optimization techniques will be the next step toward the manufacturing intelligent processes. On the one hand, computer vision algorithms will be developed to be combined with process data analysis techniques for product quality inspection. On the other hand, the operational conditions will be adapted to compensate the observed deviations, maintaining the system stability and a feasibility criteria. Taking into account these two aspects, the main objectives of the project will be the following:

• Design and development of computer vision algorithms and their integration with process data for an innovative product quality inspection system.
• Design and development of control adaptation and optimization mechanisms based on the output of the quality or tracking inspection system. Study of a real industrial case study and design of the new monitoring system.
• Study of the state of the art of machine vision systems, focused on innovative vision systems and process control.
• Integration of computer vision and process control systems in industrial hardware.
• Hardware-in-Loop (HiL) validation of the proposed control strategies for industrially relevant processes.

Timeline and remuneration:

The earliest start time is 1st March 2021. The Marie Curie grant foresees funding for a duration of 3 years. Furthermore, in order to stimulate intersectoral and international mobility, the ESR will have short research visits (so-called “secondments”) to at least two Beneficiary/Partner Organizations (with the secondments not exceeding 30% of the duration of the doctoral training).

The remuneration is generous and will be in line with the EC rules for Marie Curie grant holders. It consists of a salary augmented by a mobility allowance and/or family status, resulting in a net monthly salary of about 2.358-3.020 Euro (12 months).