Predoctoral Position at Universidad Autónoma de Madrid

hace 2 semanas

Madrid, España Euraxess A tiempo completo

Organisation/Company Autonomous University of Madrid (Universidad Autónoma de Madrid) Department Escuela Politécnica Superior (EPS), Departamento de Tecnología Electrónica y de las Comunicaciones (TEC) Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Spain Application Deadline 30 Oct 2026 - 00:00 (Europe/Madrid) Type of Contract Temporary Job Status Part-time Hours Per Week 20 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in exploring cutting-edge research in Computer Vision and Machine Learning and the potential applications to Biometrics, Explainability, Security, and Media Forensics (among others)? If so, we have the perfect opportunity for you We are seeking 1 PreDoc to join our Biometrics and Data Pattern Analytics Laboratory (BiDA-Lab), from 1 January 2026 to 31 December 2026 (12 months). Master in Machine Learning, Computer Vision, or Biometrics. Excellent publication record and experience in Public/Industry Projects. Excellent programming skills. Fluent Spanish and English communication skills (verbal and written). Proactive, curiosity-driven, and committed to deliver by deadlines. Availability to travel for technical and scientific conferences, technical exhibitions. Specific Requirements Experience and publications in the field of biometric recognition and avatar scenarios. Knowledge in servers with GPUs, and development of artificial intelligence applications. Solid understanding of Pattern Recognition, Machine Learning, and Deep Learning. Languages SPANISH Level Excellent Languages ENGLISH Level Excellent Additional Information Additional comments Applications to this offer must compulsory be registered through the online application system of UAM. #J-18808-Ljbffr

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