Post-Doctoral Research Fellowships - (BL117/2023)

Applications are open for 1 Research Studentship, within the framework of project PRODUTECH R3 (Recuperação-Resiliência-Reindustrialização) - Agenda Mobilizadora da Fileira das Tecnologias de Produção para a Reindustrialização, financed under invitation notice n. 02/C05-i01/2022 framed and financed under the Recovery and Resilience Plan of Portugal

Workplan: The work plan is part of WP8 - Digital&Autonomous Factory - of the PRODUTECH R3 Agenda (Recovery-Resilience-Reindustrialisation).

Manufacturing industries face the challenge of achieving high levels of operational and environmental performance while maintaining very short deadlines to respond to a highly dynamic demand. On the other hand, technology producers face the challenge of developing equipment and software solutions, applicable to SMEs and scalable for larger companies, that can accommodate large product mixes and significant demand fluctuations, without compromising operational and environmental efficiency, with a constant focus on digitalization and integration in IoT environments (ensuring high performance in communication and data processing systems).

This project interconnects the challenges and needs of these two types of companies. Whilst doing so, it contributes to the Reindustrialization of Europe, by demonstrating the application/potential of high performance Visual, Digital, Autonomous and Sustainable production systems, which are based on process digitalization and autonomous mobile robotic systems, aiming to minimize waste (operational, energy and materials) and ensure operational excellence. The following solutions will be demonstrated in several companies from different sectors:

1) Adaptive and intelligent logistics solutions focused on the automation of manufacturing processes at all scales (micro-production and mass production, indoor and outdoor);

2) Machine learning based software for application of Visual Management based on Lean Six Sigma and Multi-Layer Flow Mapping, both in IoT and cloud-based environments.

The workplan includes the necessary activities to carry out the objectives and the deliverables for this program; and the relevant promotion activities (conferences, articles and others).

This Work Plan is relevant for the scientific development of the scholarship’s holder in subjects framed within the mobilizing agenda, where the candidate will have contact with several Portuguese companies. We are looking for a candidate with a strong focus on research and development, capable of leading a multidisciplinary team focused in one or more of the following areas: Continuous improvement; lean manufacturing; industry 4.0 technologies and their applications in industrial context; machine learning and lean manufacturing. Previous experience in the field of machine learning solutions aimed at facilitating industrial management activities are highly valued. Furthermore, the candidate´s must have a strong academic and scientific background, being well versed in managing and preparing scientific research papers and participating in scientific conferences.

Duration: The research fellowship(s) will have the duration of 12 months. It’s expected to begin in June 2023, and may be eventually renewed up to the maximum of 24 months.

It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (http://drh.tecnico.ulisboa.pt/bolseiros/formularios/ ); ii) Curriculum Vitae; iii)academic degree certificate; iv) motivation letter; v) declaration on honour that the applicant does not exceed with this contract an accumulated period of three years in this type of fellowship, continuously or with interruptions, within the technological and scientific system, and that the research work that led to the PhD degree was carried out in a different entity from the host institution of the fellowship.

Applications must be submitted to the email: paulataborda@tecnico.ulisboa.pt