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Contribute to the further development of the MIXE method and support operation of the GIANT instrument, with a clear focus on cultural-heritage use cases and reliable, reproducible workflows
Develop and validate spectroscopy-style data-analysis procedures for MIXE measurements (e.g. robust preprocessing, peak / feature extraction, uncertainty-aware quantification) geared toward cultural-heritage artefacts and heterogeneous materials
Plan and execute measurement campaigns on artefacts and reference materials, including comparison / validation against established techniques where available
Investigate and refine the reach of the method and apply it to objects raising culturally important questions about materiality, production, and provenance
Contribute to curated case studies and a reusable database of analysis results, and help ensure that findings are continually incorporated into the Muoniverse Museum Platform

Your profile

Master’s degree in natural or material sciences, ideally in physics
Strong interest in method development and data analysis for non-destructive elemental and isotopic analysis in cultural-heritage contexts
Strong Python skills are a must, with hands-on experience using scientific libraries such as NumPy and pandas, and plotting libraries such as Matplotlib, or Plotly
Interest in instrumentation, data analysis and simulation of complex experimental setups. Prior experience with Monte-Carlo particle-transport simulation tools (e.g., GEANT4 or PHITS) for detector/matter-interaction modelling, acceptance studies, or correction workflows is an advantage
Exposure to spectroscopy / materials characterization (e.g., XRF, PIXE, ICP-MS or related) and an interest in quantitative interpretation of layered / heterogeneous samples is a plus
Skilled communicator with an interest in interdisciplinary work with museum and cultural heritage-science partners
Excellent command of English; knowledge of German, French, or Italian is a plus

We offer

Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure.

For further information, please contact Dr Michael Heiss, e-mail [email protected].

Please submit your application online for the position as a PhD Student (Index-Nr. 3502-11).

Paul Scherrer Institute, Human Resources Management, Pascale Bärtschi, 5232 Villigen PSI, Switzerland

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