Call for Applications for a Research Fellowship for Master´s Degree Holders | Ref. BI_Mestre_e-FLOWER_1

Descrizione

Call for Applications for a Research Fellowship for Master´s Degree Holders | Ref. BI_Mestre_e-FLOWER_1 Sintesi in italiano (traduzione automatica): È aperta una call per l'assegnazione di una borsa di ricerca nell'ambito del progetto e-FLOWER, finanziato da Horizon Europe, presso CENIMAT|i3N. Il candidato ideale deve possedere una laurea magistrale in Ingegneria dei Materiali, Ingegneria Biomedica o campi affini e deve essere iscritto a un corso di dottorato o a un programma di studio non conferente laurea. Le principali mansioni includono lo sviluppo e la validazione di sensori biocompatibili per tessuti intelligenti, la fabbricazione di bioelettrodi tramite tecniche di scrittura laser diretta e la caratterizzazione dei materiali. È richiesta esperienza nella lavorazione di elettrodi e sensori, nonché disponibilità a iniziare il lavoro entro 30 giorni dalla comunicazione dei risultati. La posizione prevede anche la partecipazione a conferenze internazionali e la pubblicazione di risultati scientifici. Ref. BI_Mestre_e-FLOWER_1 A call for applications is open for the award of 1 (one) Research Fellowship – BI, under the e-FLOWER project, with reference 101297960, funded by Horizon Europe, under the terms of the respective funding instrument. 1. Scientific Area Materials Engineering and Nanotechnology. 2. Admission Requirements Applicants who cumulatively meet the following requirements may apply to this call: a) Hold a master’s degree in Materials Engineering, Micro and Nanotechnology Engineering, Biomedical Engineering or related fields*; b) Be enrolled in a non-degree-conferring course or in a doctoral programme, under the terms of the applicable regulation**; c) Have training and experience in the scientific area of the work plan, namely in the fabrication of electrodes and sensors by laser processing and their characterization and optimization. *Candidates who obtained their academic degree abroad must present the corresponding recognition in Portugal and the conversion of the final grade to the Portuguese scale, under the terms of Decree-Law No. 66/2018, of 16 August. If this document is not available at the time of application, it may be replaced by a declaration on word of honour, to be submitted by the fellowship contracting stage, according to the template attached to this Call. **Proof of enrolment in a study cycle or course eligible for the fellowship may likewise be replaced, up to the same stage, by a declaration on word of honour, under the terms of the template attached to the Call. 3. Preferential Factors The following will be valued: – Availability to start duties at CENIMAT|i3N within a maximum period of 30 days from the communication of the final results of the call, which must be stated in the motivation letter. 4. Work Plan The research work will aim at the development and validation of flexible biophysical sensors for integration into smart textiles intended for continuous physiological monitoring. These sensors will be based on sustainable bioelectrodes produced through Direct Laser Writing (DLW) techniques, using advanced carbon materials, namely Laser-Induced Graphene (LIG) and Laser-Induced Materials (LIM). The fellow, within the scope of the e-FLOWER project, will take part in the following activities: – Development and optimisation of flexible LIG/LIM-based bioelectrodes for integration into smart textile platforms; – Fabrication of bioelectrodes through direct laser writing techniques in different functional geometries, including circular, hollow and fractal structures, aiming to maximise skin contact, conformability and mechanical stability during use in smart clothing; – Electrical, structural and morphological characterization of the materials and devices developed; – Evaluation of skin-electrode impedance as a function of geometry, active area, diameter and thickness of the bioelectrodes, aiming to achieve impedances below 5 kΩ at 100 Hz under dry conditions; – Development of multi-electrode architectures for the acquisition of bioelectric signals with a high signal-to-noise ratio (>25 dB) and reduced susceptibility to motion artefacts and wear; – Integration of the sensors into smart textiles for the monitoring of physiological parameters under real-use conditions; – Acquisition, processing and analysis of physiological signals, including electrocardiography (ECG) and electromyography (EMG); – Extraction of relevant physiological parameters, namely heart rate, heart rate variability and muscle fatigue indicators; – Participation in the functional validation of the developed systems and collaboration with the international partners of the e-FLOWER consortium; – Preparation of technical-scientific reports on this specific area; – Availability to participate in consortium meetings held at the various partners’ premises; – Dissemination of results through scientific publications and presentations at international conferences. This work will contribute to the development of a ne