Public notice Ref. 19/2026/RG/IEETA - NOTICE FOR THE AWARD OF GRANTS IN THE SCOPE OF R&D PROJECTS AND INSTITUTIONS

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Public notice Ref. 19/2026/RG/IEETA - NOTICE FOR THE AWARD OF GRANTS IN THE SCOPE OF R&D PROJECTS AND INSTITUTIONS Sintesi in italiano (traduzione automatica): L'Institute of Electronics and Informatics Engineering di Aveiro (IEETA) ha aperto un bando per l'assegnazione di borse di ricerca nell'ambito del progetto R&D POMEAI, focalizzato sull'uso dell'intelligenza artificiale per la rilevazione precoce di malattie negli alberi da frutto. I candidati devono essere iscritti a un master in Ingegneria Meccanica, Robotica o Automazione Industriale e aver frequentato un corso di visione artificiale. Le principali mansioni includono lo sviluppo di modelli di machine learning per la rilevazione di malattie, la revisione di approcci di machine learning e l'esplorazione di dataset multimodali. La borsa avrà una durata di 6 mesi, con un compenso mensile di €1.090,98. Il lavoro si svolgerà presso l'IEETA e il Dipartimento di Ingegneria Meccanica dell'Università di Aveiro, sotto la supervisione della Dott.ssa Daniela Ferreira Pinto Dias Rato. PT version link: http://uaonline.ua.pt/detail.asp?c=98609 A tender is hereby opened for the award of (number) Research Grant(s) (RG) in the scope of R&D project POMEAI: Artificial Intelligence for Early Disease Detection in Pome Fruit Orchards using Multispectral Imaging (COMPETE2030-FEDER-00831600), from the Institute of Electronics and Informatics Engineering of Aveiro - IEETA under the following conditions: 1. Scientific Area : Mechanical Engineering, Electronics, Informatics 2. Funding Source Co-financed by the European Regional Development Fund (ERDF) of the European Union - Project COMPETE2030-FEDER-00831600 (Ref17026) 3. Admission Requirements: 3.1. 2. Students enrolled in master 3.2. 1. Study Area: Masters in Mechanical Engineering, Master in Robotics and Intelligent Systems, Masters in Industrial Automation Engineering 4. Other Requirements: The candidates must have attended at least one computer vision-related curricular unit (example: Computer Vision or Industrial Vision and Perception Systems) 5. Eligibility: Applicants are eligible if they comply with paragraph a) of no.1 of article 2, of the Research Fellow Statute as amended by Decree-Law no. 123/2019, of August 28th, as well as nos. 1 and 2 of article 6 of the Research Grant Regulations of the Foundation for Science and Technology . 6. Work plan: Development of a computer vision-based machine learning model, using Convolutional Neural Networks or similar architectures, for the early detection of diseases in pome fruit orchards. Tasks: - Review machine learning approaches for plant disease detection. - Support data acquisition activities. - Explore existing multimodal datasets applied to agriculture. - Investigate data augmentation strategies for multispectral and RGB data. - Explore hybrid approaches combining image-based and environmental data. - Define baseline models and evaluation metrics for early disease detection. 7. Applicable legislation and regulations : Statute of Scientific Research Grant Holder, as amended by Decree-Law no. 123/2019, of August 28th; Regulation no. 950/2019, of November 29th, published in Diário da República, no. 241, Series II, of December 16th (FCT, I.P. Research Grants Regulation); Decree-Law no. 66/2018, of August 16th (Legal regime for recognition of academic degrees and diplomas of higher education awarded by foreign higher education institutions). 8. Workplace : The work will be carried out at Institute of Electronics and Informatics Engineering of Aveiro - IEETA and at the Department of Mechanical Engineering of the University of Aveiro, under the scientific supervision of Doctor Daniela Ferreira Pinto Dias Rato. 9. Duration of the grant(s) : The grant duration will be 6 months, expecting to start in January of 2027, and may be renewed for additional periods, up to the maximum limit of approved funding. Under no circumstances shall it exceed the limits defined in nos. 3, 4 and 5 of article 6, of Regulation no. 950/2019, of November 29th, published in Diário da República, no. 241, Series II, of December 16th (Research Grants Regulation of FCT, I.P.). 10. Amount of monthly maintenance allowance : The amount of the grant corresponds to €1.090,98 , according to the table of monthly maintenance allowance amounts set out in Annex I of Regulation no. 950/2019, subject to any updates that may be applicable, under the terms of no. 2 of article 18 of Regulation no. 950/2019, of November 29th, published in Diário da República, no. 241, Series II, of December 16th (Research Grants Regulation of FCT, I.P.). The fellow may also be reimbursed for the amount corresponding to the Voluntary Social Security, in case of adherence to this plan. 11. Selection methods : The selection methods to be used will be the following: Bachelor's degree average grade (40%); first-year Master's degree average grade (30%); average grade in the course unit Computer Vision or Industrial Vision and Perception Systems