The insiTUMlab is a DFG-funded Core Facility dedicated to the non-destructive, in-situ investigation of cultural heritage. The lab operates at the interface between heritage science, material science, and engineering, focusing on a broad range of historical materials while assuring their contextualization through an interdisciplinary approach. Official partners are the Doerner Institut, the Deutsches Museum, the TUM Chair of Non-Destructive Testing, IFAC-CNR Florence, the TUM Chair of Biopolymers, the State Academy of Fine Arts Stuttgart, and the Scientific Department of the British Museum.
The open position is for a highly motivated Postdoctoral Researcher (TV-L E13, 100%) to join their 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).
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
Candidate 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.
The 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.
Deadline by 31 January 2026
For further information and how to apply visit THIS PAGE
