BECAS BGI2026 - Investigación en ciencias del deporte: envejecimiento activo y ejercicio digital, PORTUGAL (Vila Real)

  • Código Oferta:14803
  • Proyecto: UNIVERSITY OF TRÁS-OS-MONTES AND ALTO DOURO / BECAS BGI2026 - Investigación en ciencias del deporte: envejecimiento activo y ejercicio digital, PORTUGAL (Vila Real) / PORTUGAL / Vila Real
  • País: PORTUGAL
  • Municipio: Vila Real
  • Entidad: UNIVERSITY OF TRÁS-OS-MONTES AND ALTO DOURO
  • Tipo de contrato: Beca
  • Duración: Mínimo 6 meses
  • Salario mensual: 1.785 euros brutos
  • Observaciones: Sports Science Research Intern – Active Ageing & Digital Exercise The selected candidate will collaborate in the IATOS Project (Project No. 18494 | NORTE2030-FEDER-01489700), funded by Portugal 2030 and co-funded by the European Union under the Innovation and Digital Transition Programme. IATOS is an innovative applied research project focused on the development of an Artificial Intelligence-assisted synchronous and asynchronous tele-exercise platform for older adults. The platform aims to improve access to safe, personalized and supervised physical exercise for seniors using only a smartphone with a standard 2D camera and mobile internet access. The system supports personal trainers by enabling: Real-time movement quality monitoring Repetition counting Exercise duration control Rest interval monitoring Perceived exertion scale (RPE) monitoring Asynchronous training reports AI-assisted feedback and training supervision Main internship activities: Support in data collection for AI training models Participation in exercise protocol organization Assistance in validation of digital exercise sessions Development of technical digital manuals for senior users Development of trainer user manuals Support in reporting and organization of research outputs Collaboration with multidisciplinary teams in health, sport sciences and digital innovation Expected deliverables: Technical digital user manual for senior participants Technical operational manual for trainers AI training dataset based on 80 exercises involving 10 senior participants
  • Nivel Académico: Licenciatura o Grado (C5-8)
  • Fecha Alta: 2026-06-29
  • Fecha Inicio: 2026-07-23
  • Titulación: CIENCIAS DEL DEPORTE O AFINES Degree in Sport Sciences or related field Experience in supervising physical exercise for older adults Good level of English Autonomy and responsibility Good communication skills Proficiency in Microsoft Office tools Interest or previous experience in scientific research Interest in artificial intelligence applied to health and exercise
  • Observaciones Idioma:
  • Informática: Microsfot Office