Open Postdoctoral Research Position – Hyperspectral Imaging Application and Data Analysis in He[...]

Technical University of Munich; München; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A renowned research institution in Munich is seeking a motivated Postdoctoral Researcher specializing in Hyperspectral Imaging for cultural heritage applications. This interdisciplinary role involves developing imaging methodologies and integrating data from various techniques. Candidates should hold a PhD in a related field and possess experience in data processing and analysis. This position offers a dynamic research environment with significant collaboration opportunities and career development.

Leistungen

Flexible working hours

Career development opportunities

Active international research participation

Qualifikationen

• PhD in Engineering, Computer Science, or related fields.
• Experience with Hyperspectral Imaging or spectroscopy.
• Strong background in data processing and analysis.

Aufgaben

• Develop and implement Hyperspectral Imaging methodologies.
• Integrate HSI with spectroscopic techniques for data fusion.
• Support student supervision and prepare scientific publications.

Kenntnisse

Hyperspectral Imaging

Data processing

Image/signal analysis

Machine learning

English communication

Analytical skills

Creative problem-solving

Ausbildung

PhD in relevant field

Jobbeschreibung

insiTUMlab is looking for open-minded and proactive new member.

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

30.10.,Wissenschaftliches Personal

The insiTUMlab is a DFG-funded Core Facility dedicated to the non‑destructive, in‑situ investigation of cultural heritage. We are seeking a highly motivated Postdoctoral Researcher (TV‑L E13, %) 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 optimise HSI data‑processing workflows, including spectral calibration, pre‑processing, 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, %), 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 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, München

Email :

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information :

When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz‑Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art.13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.