UJA MSCA-Postdoctoral Fellowship Hosting Offer (ENG – Information Science and Engineering)

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UJA MSCA-Postdoctoral Fellowship Hosting Offer (ENG – Information Science and Engineering)

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Universidad de Jaén is a public higher education institution based in Andalucía (Spain) that was created in 1993 and which has received the distinction of Campus of International Excellence in the fields of Agrifood (CEIA3) and Climate Change (CamBio), plus it also leads the Andalusian CEI project on historical heritage PatrimoniUN10. Besides, the UJA highly ranks for its contribution to the Sustainable Development Goals according to THE – Times Higher Education (World University Rankings). UJA has five faculties (Social and Legal Sciences; Humanities and Education Sciences; Health Sciences; Experimental Sciences and Social Work) and two higher polytechnic schools for engineering (Linares and Jaén) as well as an associated center (SAFA Professional School in Úbeda). In turn, these centers are organized into 35 departments, plus six specialized centers at UJA (CAAI, INUO, IISTA, DaSCI, CEACTEMA, CEATIC) strongly contribute to the university’s outstanding R&I performance. Universidad de Jaén is also renowned for its well-established links with industry and generation of spin-offs, plus for its internationalization strategy, As an example, UJA is a member of GUNi, EUA, Food4LifeSpain, BIC Consortium, S3 Partnership on Sustainable Buildings, AgrotechDIH or I4-GREEN, plus it has also contributed to EIP on Raw Materials and EIP-AGRI.Supervision profilewould be willing to receive expressions of interest from candidates with a competitive CV (also including high quality and impact publications, international mobility and relevant transferable skills) within the framework of the . Support to prospecte applicants will be provided by the UJA R&I International Projects Office (OFIPI).Requested expertise (and training provided)Proposal for Post-Doctoral Research Position on Instrument Separation in Multichannel Mixtures using Deep Learning We invite applications for a post-doctoral position under the framework of the Repertorium project ( ), an initiative dedicated to preserving and analyzing European cultural heritage through advanced technological solutions. This specific position focuses on the development and application of deep learning techniques for the separation of musical instruments in multichannel mixtures. The successful candidate will explore state-of-the-art methods such as TF-Grid and Demucs to isolate and analyze individual instrumental tracks from complex audio recordings. Leveraging the rich multichannel data provided by the Repertorium project, the research will aim to enhance the quality of source separation through the integration of temporal, spatial, and spectral information. This is particularly critical in the context of multichannel datasets, where spatial cues can significantly improve the disambiguation of overlapping sources. Objectives include: Developing models that exploit spatial and phase information in multichannel recordings. Creating training datasets from Repertorium’s extensive archives of ensemble performances. Optimizing performance metrics for real-world scenarios, such as live recordings and acoustically challenging environments. Evaluating perceptual and quantitative improvements compared to current benchmarks. The outcomes of this research will contribute to advancing tools for musicological analysis and the preservation of European cultural heritage. Furthermore, the research has potential applications in immersive audio production, virtual reality, and educational tools for music analysis. This position is ideal for candidates with a PhD in machine learning, signal processing, or related fields, and a strong background in audio analysis. Applicants should demonstrate expertise in deep learning frameworks, multichannel audio processing, and a passion for applying technological advancements to cultural preservation. Join us in shaping the future of musicological research through innovation and interdisciplinary collaboration.

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Location

Linares, Jaén

Job date

Fri, 06 Dec 2024 23:24:40 GMT

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