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Postdoctoral Researcher Hyperspectral Imaging

TU München · München | Deutschland · Onsite

Gehalt auf Anfrage

Gefunden am 05.06.2026

Match

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Fit in Skills, Kultur und Entwicklungspfad.

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du Hyperspectral Imaging-Methoden zur Untersuchung kultureller Erbeobjekte, optimierst Datenverarbeitungs-Workflows und integrierst maschinelles Lernen zur Materialidentifikation. Job Zusammenfassung In dieser Rolle entwickelst du Hyperspectral Imaging-Methoden zur Untersuchung kultureller Erbeobjekte, optimierst Datenverarbeitungs-Workflows und integrierst maschinelles Lernen zur Materialidentifikation. Deine Rolle im Team Develop and implement Hyperspectral Imaging (HSI) methodologies for in-situ investigation of cultural heritage objects and architectural surfaces, covering VNIR and SWIR spectral ranges. Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. Integrate HSI with complementary spectroscopic techniques (Macro-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. Apply and further develop machine-learning and statistical models (e.g. PCA, SAM, clustering, neural networks) for spectral interpretation, segmentation, and material identification. Create and curate a dedicated HSI spectral library for cultural heritage materials, linking reference samples, mock-ups, and in-situ data, and defining standardized metadata and interoperability formats. Maintenance and development of the insiTUMlab data repository in MediaTUM. Participate in and coordinate national and international in-situ analytical campaigns, performing on-site documentation and analysis in collaboration with partner institutions. Support students supervision (Bachelor's, Master's and PhD), and contribute to capacity-building activities. Prepare scientific publications, technical reports, and standard operating procedures, and participate in dissemination and outreach activities. Unsere Erwartungen an dich Ausbildung PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry, Analytical Chemistry, or Heritage Science, or any field related to the lab's research topics. Creative, open-minded, and proactive attitude with a high degree of autonomy. Qualifikationen Strong background in data processing, image/signal analysis, and machine learning. Familiarity with instrument control, calibration, and automation workflows. Excellent written and oral communication skills in English (German is an advantage). Strong analytical and problem-solving abilities and motivation to work in an interdisciplinary environment. High interest in cultural heritage applications. Erfahrung Proven experience with Hyperspectral Imaging or related spectroscopic imaging methods. Benefits Gesundheit, Fitness & Fun 🎳 Team Events Work-Life-Integration 🏠 Home Office 🚌 Gute Anbindung 🍼 Kinderbetreuung ⏰ Flexible Arbeitszeiten Mehr Netto 👴🏻 Betr. Altersvorsorge Themen mit denen du dich im Job beschäftigst Machine Learning AI Metadaten Level: Erfahren Job Feld: Data, Application Anstellung: Vollzeit Vertragsart: Befristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Bildungswesen Ort: München | Deutschland

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