Research Fellowship (CIPSI-ID-PEX-17129-01)

Description

Offer Description: ANNOUNCEMENT FOR THE AWARD OF A RESEARCH FELLOWSHIP Title : Research Fellowship (BI) - 1 vacancy Reference: CIPSI-ID-PEX-17129-01 A call for applications is now open for the award of 1 (one) Research Fellowship (BI) within the scope of the R&D project “ Exploring the roots of alcohol addiction: from unconscious to conscious cognitive mechanisms - a multilevel analysis using psychophysiological and fMRI measures ” (reference 2024.17129.PEX), PI Sónia Silva Sousa, with funding approved by the Foundation for Science and Technology (FCT, I.P.) and approved by the Supervisory Authority on 24/11/2025, and within the scope of the activities of the Research Centre in Psychology (UI1662), under the following conditions: Scientific Area: Psychology Recipient category: The position is open to graduates who, on the date of their hiring, can prove enrollment in one of the following study cycles: Degree-conferring study cycles (fellowship intended for R&D activities by students enrolled in a master's degree); or Non-degree-conferring courses (fellowship intended for R&D activities by graduates enrolled in non-academic degree courses integrated into the educational project of a higher education institution). Requirement for granting the fellowship: Applicants may apply without prior registration in the course for which the fellowship is open. The requirement to enroll in a degree-conferring or non-degree-conferring course will be verified on the date of contracting the fellowship. Only fellowships whose selected applicants present valid proof of enrollment in a degree-conferring or non-degree-conferring course will be contracted, according to the type of fellowship, indicating, respectively, the academic year in progress or its duration (start and term). Applicants' eligibility: Candidates who meet the conditions set out in Article 9 of the Research Grant Regulations, Regulation no. 950/2019, of 16 December 2019, of FCT, I.P., are eligible. Nationals or citizens of other European Union member states, third-country nationals, stateless persons, and citizens with political refugee status may apply for this call. Candidate eligibility requirements: Mandatory requirements: Bachelor's degree in Psychology, Neuroscience, Biomedical Engineering, Bioengineering, Computer Engineering, or related fields; Demonstrated interest in research in the areas of medical informatics, medical image analysis, and/or the application of artificial intelligence methodologies to the processing of medical image data; Knowledge of programming in Python; Fluency in Portuguese and English, both spoken and written. Preferential requirements: The following will be valued: Previous experience in research projects; Knowledge of or experience in artificial intelligence methodologies applied to the processing of medical image data, namely machine learning and deep learning; Previous experience in programming languages applied to data analysis. Work plan, objectives to be achieved and evaluation criteria: The work plan aims to consolidate the scientific training of the fellowship holder through their integration into research activities in the areas of cognitive neuroscience, behavioral and psychophysiological assessment, medical image analysis, and the application of computational methodologies to research data processing. a) Work plan : Literature review relevant to the project, namely in the areas of alcohol use, cognitive neuroscience, behavioral and psychophysiological assessment, fMRI, and artificial intelligence methodologies applied to the processing of medical image data; Support in the preparation and organization of research materials, including assessment protocols, questionnaires, experimental/behavioral tasks, and databases; Support in the recruitment, screening, scheduling, and follow-up of participants throughout the data collection process; Collaboration in participant assessment, including the administration of questionnaires, behavioral/exp

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Source

Source: euraxess.ec.europa.eu