Postdoc (f/m/x) in Non-Invasive Optoacoustic Sensing
Postdoc (f/m/x) in Non-Invasive Optoacoustic Sensing
102892
Full time
39 hrs./week
Neuherberg near Munich
At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives.
The Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research unit, which provide bioengineering solutions to urgent societal needs. IBMI scientists develop next-generation imaging and sensing methods to measure previously inaccessible properties of living systems, hence, catalyzing breakthroughs in biology, medicine, and the environment. Comprising 12 inter-disciplinary laboratories and scientists from more than 25 countries, IBMI offers state-of-the-art infrastructure for innovative research and an ideal environment to accelerate your career.
We now seek a highly qualified and motivated Postdoctoral Researcher (f/m/x) to drive the development of the world’s first portable mid‑infrared optoacoustic sensor (MiROS) for non‑invasive in‑blood biomarker detection.
Your tasks
- Develop data analysis pipelines and signal processing methods for mid-infrared optoacoustic sensing
- Translate raw optoacoustic signals into robust, quantitative biomarker readouts
- Design and implement inference models for non-invasive in-blood biomarker detection
- Define and evaluate performance metrics, and validate results experimentally, including validation using experimental data
- Collaborate closely with engineering and research partners (e.g. KIT) to integrate methods into a portable sensing system
- Contribute to advancing the MiROS technology from prototype to real-world application
Your profile
- PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational science, or a related field
- Strong background in signal processing, data analysis, and statistical modeling
- Programming skills in Python and experience with reproducible workflows
- Experience working with experimental data (e.g. spectroscopy, imaging, sensing technologies)
- Hands-on experimental skills: ability and motivation to work in the lab, run measurement campaigns, and troubleshoot setups during data acquisition
- Good communication skills in English and ability to collaborate in interdisciplinary teams
Desirable qualifications
- Experience with machine learning methods for regression or signal interpretation
- Familiarity with optoacoustic, ultrasound, or biomedical sensing technologies
- Track record of scientific publications or contributions to applied research projects
If you fulfill all the requirements, you may be eligible for a salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). The position has an (initial) fixed term of 2 years but may be extended under certain circumstances.
Managing Director Mike Frieser:
„We believe that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us, contributing to a healthier society in such an inspiring workplace is truly meaningful.“
Benefits
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Scientific Resources
State-of-the-art infrastructure and Core Facilities -
International Staff Service
Support with the relocation and integration process in Germany -
Career Development
Postdoc program, scientific training & career center with tailored offers -
Recreation
30 days annual leave, flexi days, plus public holidays -
Family Support
On-site kindergarten, holiday care, care for the elderly -
Health Promotion
Sports, company doctor, mental health initiatives
Interested in applying?
If you have any questions, feel free to contact Ivy Savannah Curren, ivy.curren@helmholtz-munich.de, who will be happy to help.