our research

The levels, chemical modifications, and relative abundance of organic molecules circulating in systemic bioliquids serve as direct indicators of human physiological health. Leveraging broadband optics, ultrafast sources, and precision femtosecond-attosecond field-resolving metrologies of attoworld, …

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meet our team

join us

We are always on the look for bright minds that wish to share their passion with us.

If you are a student or a laser scientist, a specialist in molecular sciences, a physician, a nurse, an engineer, or a data analyst – if you share the motivation to devise new approaches for quantifying the molecules of life to improve human health – do get in touch with us!

Contact:
Dr. Mihaela Žigman
Email: mihaela.zigman@mpq.mpg.de


  • M.Sc. // Master’s Thesis Opportunity in Infrared Diagnostics

    Join the Broadband Infrared Diagnostics (BIRD) team - a collaboration between the Ludwig-Maximilians-Universität München (LMU) and the Max-Planck-Institut für Quantenoptik (MPQ) at the attoworld laboratories in Garching - to help develop the next generation of spectroscopic avenues for molecular profiling in biomedical diagnostics.

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    Blood drop

    Required qualifications:

    1. Bachelor’s degree in chemistry, biochemistry, analytical sciences, biotechnology, biology or closely related fields;
    2. Solid grounding in one or more of the above-mentioned fields;
    3. Fluent English and strong communication skills;
    4. A proactive, enthusiastic approach and ability to work well in a team.

    As a Master’s student with us, you will:
    1. Develop strategies and workflows for analytical preparation of blood-based samples;/li>
    2. Apply infrared spectroscopy methods
    3. Develop and integrate spectroscopic optical techniques with modern analytical-chemicalworkflows
    4. Leverage machine learning approaches to analyze “infrared molecular fingerprints”
    5. Learn from team-efforts of a dynamic, interdisciplinary, and international research group

    Bonus points for:
    1. Previous biological or chemical lab experience (internships, Bachelor’s thesis etc.);
    2. Hands-on experience with experimental spectroscopy setting (e.g. UV/Vis spectroscopy,Raman, infrared or similar), blood-based analytics or data analyses;
    3. Familiarity with chromatographic and/or spectroscopic instrumentation or machine learningworkflows

    What we offer:
    1. A broad range of hands-on activities and experiences in a fast-evolving research area;
    2. Mentorship and collaboration with leading experts in infrared medical spectroscopy;
    3. Integration into a larger international and interdisciplinary research programm;
    4. A long-term perspective for motivated candidates.

    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.

    Learn more about our work:
    www.attoworld.de/bird

    Contact:

    Dr. Mihaela Zigman
    mihaela.zigman@mpq.mpg.de

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  • M.Sc. // Infrared Diagnostics of Human Health

    The Broadband Infrared Diagnostics (BIRD) group, at the Chair of Experimental Physics at Ludwig-
    Maximilians-Universität München (LMU) and the Max-Planck-Institute of Quantum Optics (MPQ) is
    combining femtosecond laser-based technologies, and molecular spectroscopy with computational data
    analyses for developing novel molecular infrared fingerprinting techniques to probe human health.

    For master students of Statistical Physics, Informatics, Physics, Biophysics or related.

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    BIRD Master

    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.

    Required qualifications:

    1. strong academic record;
    2. knowledge in statistics/machine learning/data analytics;
    3. knowledge of programming languages (e.g., Python);
    4. knowledge in biophysics/physical chemistry;
    5. interest in bio-medical applications;
    6. analytical, technical, and problem-solving skills.

    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.

    Contact:

    Dr. Mihaela Zigman
    mihaela.zigman@mpq.mpg.de

    Tarek Eissa
    tarek.eissa@physik.uni-muenchen.de.

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