Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop hyperspectral imaging methodologies to investigate cultural heritage objects, optimize data processing workflows, and integrate machine learning for material identification.
Your role in the 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 on-site 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.
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Our expectations of you
Education
- 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.
Qualifications
- 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.
Experience
- Proven experience with Hyperspectral Imaging or related spectroscopic imaging methods.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
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Topics that you deal with on the job
Job Locations
This is your employer
TU München
The Munich School for Robotics and Machine Intelligence (MSRM) at the Technical University of Munich is looking for outstanding candidates for postdoctoral positions under the supervision of Prof. Sami Haddadin.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Education System
Postdoctoral Researcher Hyperspectral Imaging
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
