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Offer Description
Applications are open for 2 (two) Research Studentship(s), within the framework of project/R&D institution Sustainable Stone by Portugal, financed by national funds through financed by national funds through PRR (Plano de Recuperação e Resiliência, through IAPMEI – Agência para a Competitividade e Inovação
Workplan: Application of deep learning techniques for image processing for the estimation of visual rock characteristics and uncertainty quantification of estimation models. Application of the models on small and large scales. Image Analysis and Oversampling Techniques.
Duration: The research fellowship(s) will have a total duration of 12 months. It’s expected to begin in April 2024 and may be renewed in the case of a PhD student up to the maximum of 48 months, including the duration of the initial contract.
It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/concursos/bolsas/ ); ii) Curriculum Vitae; iii)academic degree certificate, where applicable; iv) proof of enrollment at an academic degree course (Ph.D.) or at a course that does not award an academic degree; v) motivation letter; vi) recommendations letters; vii) (for holders of Bachelor or Master degrees who are enrolled at a course that does not award an academic degree) declaration on honor that the applicant does not exceed with this contract an accumulated period of two years in this type of studentship, continuously or with interruptions.
Applications must be submitted to the email:[email protected]
Requirements
Skills/Qualifications
Admission Requirements: Master in mining engineering, Mechanical Engineering, Materials Engineering, or similar areas and to be enrolled course not conferring a degree or PhD. It will be a preferential factor if the candidate demonstrates proven experience in machine learning, deep learning, and modeling.
Additional Information
Benefits
Monthly maintenance allowance: According to the values for Research Fellowships awarded by FCT in Portugal (www.fct.pt/wp-content/uploads/2024/02/Tabela-de-Valores-SMM_atualizacao-2024.pdf ), the amount of the monthly maintenance allowance is € 1.259,64, being the payment method by Wire Transfer.
Eligibility criteria
Admission Requirements: Master in mining engineering, Mechanical Engineering, Materials Engineering, or similar areas and to be enrolled course not conferring a degree or PhD. It will be a preferential factor if the candidate demonstrates proven experience in machine learning, deep learning, and modeling.
Selection process
Selection methods: The selection methods will be the following: Curriculum evaluation (30%), Motivation Letter (10%), recommendation letters (up to two) (5%), and individual interview (55%).
Composition of the selection Jury: Professor Gustavo André Paneiro, Professor Leonardo Azevedo Guerra Raposo Pereira, Doctor António Pedro Dias Alves de Campos
Announcement/ notification of the results: The final evaluation results will be communicated to all applicants by email.
Deadlines and procedures of complaint and appeal . A complaint may be lodged from the final decision within 15 working days, or an appeal to the Executive Board of IST-ID within 30 working days, both counted from the respective notification
Additional comments
Legislation and Regulations: Statute of Scientific Research Fellow, approved by Law nr. 40/2004, of August 18, as worded by Decree-Law nr. 123/2019, of August 28; FCT Regulation for Research Studentships and Fellowships, available on https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.pdf and https://dre.pt/application/file/a/127230968 .
Workplace: The work will be developed at CERENA Centro de Recursos Naturais e Ambiente of Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento, under the scientific supervision of Professor Gustavo Paneiro
Work Location(s)
Where to apply
Contact
STATUS: EXPIRED
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