Postdoctoral Researcher in Hyperspectral Imaging Application and Data Analysis in Heritage Science (Technical University of Munich)

Open Postdoctoral Research Position – Hyperspectral Imaging Application and Data Analysis in Heritage Science 30.10.2025, Wissenschaftliches Personal We are seeking a highly motivated Postdoctoral Researcher (TV-L E13, 100%) to join our interdisciplinary team at the earliest possible date. The position is limited to two years (renovation for one year is possible depending on founding availability) and is funded by the Deutsche Forschungsgemeinschaft (DFG). Your Responsibilities • 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. Candidate Requirements ✅ 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. ✅ Proven experience with Hyperspectral Imaging or related spectroscopic imaging methods. ✅ 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. ✅ Creative, open-minded, and proactive attitude with a high degree of autonomy. ✅ High interest in cultural heritage applications. Our Offer • Dynamic and interdisciplinary research environment bridging heritage science, materials science, and computational imaging. • Access to state-of-the-art HSI and spectroscopic instrumentation (HySpex VNIR/SWIR systems, Macro-XRF, Raman, FTIR, etc.). • Active participation in international in-situ research campaigns on cultural heritage sites. • Collaboration with leading research institutions and museums (Doerner Institut, Deutsches Museum, etc.). • Flexible working hours, supportive research environment, and strong mentoring culture. • Salary according to TV-L (E13, 100%), including full social benefits. • Career development opportunities and support for publications and conference participation. TUM strives to increase the proportion of women in its scientific staff; applications from qualified women are strongly encouraged. Disabled applicants with equal suitability and qualification will be given particular consideration. Application Procedure Please send your application in one PDF file including: • Cover letter describing your motivation and research interests • Curriculum Vitae (CV) • Publication list, indicating three selected main papers and explaining shortly your own contribution • Two letters of recommendation • Supporting documentation (certificates, transcripts, etc.) Shortlisted candidates will be invited for an interview, which will include a max. 10-minute presentation of their own research work. ???? Send applications by 31 January 2026 to: Dr. Clarimma Sessa Head of the insiTUMlab – Analytical Infrastructure for Non-Destructive In-Situ Studies of Cultural Heritage, Chair of Conservation-Restoration, Art Technology and Conservation Science Technical University of Munich Oettingenstraße 15, 80538 München Email: clarimma.sessa@tum.de Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt. Hinweis zum Datenschutz: Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben. Kontakt: clarimma.sessa@tum.de Mehr Information https://www.arc.ed.tum.de/en/rkk/vacancies/ If you apply for this position please say you saw it on Computeroxy

Open Postdoctoral Research Position – Hyperspectral Imaging Application and Data Analysis in Heritage Science

30.10.2025, Wissenschaftliches Personal

We are seeking a highly motivated Postdoctoral Researcher (TV-L E13, 100%) to join our interdisciplinary team at the earliest possible date. The position is limited to two years (renovation for one year is possible depending on founding availability) and is funded by the Deutsche Forschungsgemeinschaft (DFG).

Your Responsibilities

• 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.

Candidate Requirements

✅ 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.
✅ Proven experience with Hyperspectral Imaging or related spectroscopic imaging methods.
✅ 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.
✅ Creative, open-minded, and proactive attitude with a high degree of autonomy.
✅ High interest in cultural heritage applications.

Our Offer

• Dynamic and interdisciplinary research environment bridging heritage science, materials science, and computational imaging.
• Access to state-of-the-art HSI and spectroscopic instrumentation (HySpex VNIR/SWIR systems, Macro-XRF, Raman, FTIR, etc.).
• Active participation in international in-situ research campaigns on cultural heritage sites.
• Collaboration with leading research institutions and museums (Doerner Institut, Deutsches Museum, etc.).
• Flexible working hours, supportive research environment, and strong mentoring culture.
• Salary according to TV-L (E13, 100%), including full social benefits.
• Career development opportunities and support for publications and conference participation.

TUM strives to increase the proportion of women in its scientific staff; applications from qualified women are strongly encouraged. Disabled applicants with equal suitability and qualification will be given particular consideration.

Application Procedure

Please send your application in one PDF file including:
• Cover letter describing your motivation and research interests
• Curriculum Vitae (CV)
• Publication list, indicating three selected main papers and explaining shortly your own contribution
• Two letters of recommendation
• Supporting documentation (certificates, transcripts, etc.)
Shortlisted candidates will be invited for an interview, which will include a max. 10-minute presentation of their own research work.

???? Send applications by 31 January 2026 to:

Dr. Clarimma Sessa
Head of the insiTUMlab – Analytical Infrastructure for Non-Destructive In-Situ Studies of Cultural Heritage, Chair of Conservation-Restoration, Art Technology and Conservation Science
Technical University of Munich
Oettingenstraße 15, 80538 München

Email: clarimma.sessa@tum.de

Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.

Hinweis zum Datenschutz:
Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

Kontakt: clarimma.sessa@tum.de