Research Studentship For Master'S Degree Or Integrated Master'S Degree Students - (Bl227/2024)

Detalhes da Vaga

Organisation/Company: Instituto Superior Técnico
Department: Direção de Recursos Humanos
Research Field: Engineering » Mechanical engineering
Researcher Profile: First Stage Researcher (R1)
Positions: Bachelor Positions
Country: Portugal
Application Deadline: 13 Dec 2024 - 23:59 (Europe/Lisbon)
Type of Contract: Not Applicable
Job Status: Not Applicable
Is the job funded through the EU Research Framework Programme? NextGenerationEU
Is the Job related to staff position within a Research Infrastructure? No
Offer Description Applications are open for 1 Research Studentship, within the framework of project VIIA FOOD - Platform for the Agri-Food valorisation, industrialization, and commercial innovation, 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 WP9 - New advanced/digital technologies for efficient food and packaging processes - Manufacturing Execution System - of the VIIA FOOD Agenda.
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.
WP9 focuses on the development and adoption of the Industry 4.0 paradigm, based on state-of-the-art digital technologies, in order to increase the capacity, flexibility, and productive efficiency of the Agri-food industry companies, as well as to enable them to manufacture new products according to the demand.
The activity A9.2, in particular, is a demonstration of a digitalization, intelligent and scalable solution, based on 5G technology, to collect and transform operative data of every equipment within the production lines in real time, and communicate it with the MES platform, supported by decentralized sensor networks.
The workplan includes the activities required to accomplish the objectives and deliverables of this program. Promotion activities are also planned, through conferences, articles, and others:
Support for analyzing the potential impact of logistics solutions on the market;
Conducting data acquisition with companies to gather functional requirements;
Support to the management of project activities.
This work plan is relevant to the progress of studies related to the course that does not confer an academic degree, related to the increase of scientific competences and research methods.
Duration: The research fellowship will have a duration of 12 months. It's expected to begin in January 2025, and will not be renewed.
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, where applicable; iv) proof of enrollment at an academic degree course (Master, Integrated Master); v) motivation letter;
Minimum Requirements Be enrolled in an integrated master's programme or a master's programme.
Be available to carry out a master's thesis in Lean Manufacturing and Lean & Green in an Industry 4.0 context.
Have developed work or have knowledge in digitalization, Internet of Things, or Lean Manufacturing.
Additional Information Monthly maintenance allowance: The amount of the monthly maintenance allowance is €990.98, with the payment method being an option of the Fellow by Wire Transfer.
Selection Process Selection methods: The selection methods will be the following: In the first phase, 3 candidates will be selected based on their CV and letter of motivation with a weighting of 80% and 20% respectively. The candidates selected in the first phase will then be selected through an individual interview.
Composition of the selection Jury: Chairman of the Jury: Prof. Paulo Peças, Member of the Jury: Prof. Marco Leite, Member of the Jury: Profª. Inês Ribeiro.
Announcement/notification of the results: The final evaluation results will be communicated to all applicants by email.
Workplace: The work will be developed at the Scientific Area of Manufacturing and Industrial Management, Pav Mec 3 of IST, under the scientific supervision of Prof. Paulo Peças.

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Salário Nominal: A acordar

Fonte: Allthetopbananas_Ppc

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