Our research combines advanced InfraRed spectroscopy technologies with multi-omics, clinical diagnostics, and computational data analyses to develop novel molecular fingerprinting methods for human health assessment and early disease detection. The research builds on several clinical studies for which thousands of individuals contribute blood samples, resulting in rapidly growing datasets with rich molecular measurements and detailed clinical characterization. We are an interdisciplinary team with expertise spanning physics, data science, molecular science, and clinical research. Our main question is to understand how subtle molecular changes in blood relate to health states, disease onset, and longitudinal health trajectories, with applications in common diseases and cancer. To integrate our findings and generate new predictions and hypotheses, we use machine learning and systems analysis frameworks. Further information is available at www.attoworld.de/bird

Research area: Projects will focus on analysis of large-scale molecular datasets applying machine learning and data analysis. Research directions include the development of robust approaches for data standardization, improving model generalization across heterogeneous datasets, and extracting clinically meaningful insights from complex molecular data.

Prior experience in molecular biology, biophysics, or chemistry is advantageous but not essential. More important is the motivation to work across disciplines and to engage with biologically and clinically relevant questions. We value diversity and strongly encourage applications from all qualified individuals.

Applications, including a letter of motivation, a CV and the names and contact details of two referees should be sent directly to Prof. Mihaela Zigman and Dr. Tarek Eissa (mihaela.zigman@mpq.mpg.de; tarek.eissa@mpq.mpg.de).

The group is based at Garching Forschungszentrum. For PhD applicants, formal supervision can be arranged through LMU Physics or TUM School of Computation Information and Technology (CIT).

Download: Job Description (PDF)

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The professional will work in a highly international and interdisciplinary team in direct collaboration with laser scientists and engineers from CMF and LMU at the Center for Molecular Fingerprinting in Budapest, Hungary. We are seeking an experienced software developer/architect to join our team to support the automation of measurements and the reliable, high-throughput operation of ISA 3.1. The ideal candidate will design, implement, and maintain scalable software solutions that optimize resources, ensure data integrity, and minimize manual intervention.

• Master’s degree in Computer Science, Electrical Engineering, Physics, or a related field.
• Professional knowledge of software development principles: data structures, algorithms, complexity, system design, testing.
• Extensive experience in at least one text-based programming language (Python or C++ preferred).
• Experience with SQL databases (ideally PostgreSQL).
• Experience with version control systems (e.g., Git).
• Experience with or willingness to learn CI/CD pipelines and containerization.
• Ability to work cross-functionally in a fast-paced R&D environment.

• Strong experience in Labview and Python.
• Experience in developing high-throughput or automated measurement systems.
• Knowledge of software architecture for large-scale laboratory instruments.
• Agile, experimental, and iterative approach to software development.
• Strong problem-solving, debugging, and optimization skills.
• Familiarity with data security and sharing protocols.

• Work in state-of-the-art research laboratories.
• Help develop the next generation laser spectrometer for human health monitoring.
• Interdisciplinary research group with international atmosphere.
• Close collaboration with Research Center Garching, Faculty of Physics at LMU, Am Coulombwall 1, 85748 Garching
• Regular home office option
• Competitive salary and extensive benefits package

If you are interested in this exciting opportunity to contribute to advanced measurement automation, please send us your CV and study transcripts. Additionally, please include a short statement about your motivation.

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If you’re eager to push the boundaries of infrared molecular fingerprinting and contribute to innovative biomedical diagnostics, we are looking forward to hear from you! Students from LMU, TUM or other universities are also welcome, provided formal supervision at their home university is ensured.

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We are a dynamic, interdisciplinary team of physicists, data scientists, biologists, and clinical experts, all working together to harness infrared spectroscopy for medical applications. By detecting subtle changes in the molecular composition of blood, we aim to capture and characterize early markers of health and disease (www.attoworld.de/bird; www.lasers4life.de).

We invite highly motivated LMU students to join our team for a master’s thesis project. This opportunity focuses on applying machine learning and data analysis techniques to infrared spectroscopic data from human blood samples. The goal is to examine and advance infrared profiling for medical testing.

Our group is based at the Research Center in Garching (Forschungszentrum Garching, Section Physics of LMU, Am Coulombwall 1, 85748 Garching), accessible by public transport.

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