Job
- Level
- Erfahren
- Ort
- München
- Arbeitsmodell
- Onsite
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
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
Work-Life-Integration
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
TU München
Die Munich School of Robotics and Machine Intelligence (MSRM) ist eine der weltweit führenden Institutionen für Forschung in Robotik und maschineller Intelligenz. Wir suchen herausragende Bewerber für Postdoc-Stellen unter der Leitung von Prof. Sami Haddadin.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Bildungswesen
Postdoctoral Researcher Hyperspectral Imaging
- Ort
- München
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
