lasers and technology
for infrared molecular fingerprinting
The applicant will work in a highly international and interdisciplinary team in direct collaboration with laser scientists and engineers from CMF and LMU at the Laboratory for Extreme Photonics on the research campus in Garching, north of Munich. We are seeking highly motivated and skilled students to join us in supporting our hardware development team by designing and deploying fast, flexible, and reliable software tools. The ideal candidate will bridge the gap between hardware design, testing, and validation by developing LabVIEW applications, automation tools, test frameworks, and data-acquisition interfaces that accelerate iterative hardware prototyping.
- Build software tools and algorithms for the next generation of spectroscopic laser systems for molecular fingerprinting.
- Collaborate closely with hardware, firmware, and systems engineers to understand prototype needs and convert them into functional software solutions.
- Create modular, maintainable, and scalable LabVIEW code using best practices (LVOOP, project libraries, state machines, etc.).
- Integrate software with a variety of lab instruments (oscilloscopes, power supplies, DAQ modules, sensors, etc.).
- Support proof-of-concept development, enabling fast iteration cycles for R&D.
- Troubleshoot hardware/software interface issues and contribute to root-cause analysis.
- Maintain documentation for test systems, codebases, system architectures, and workflows.
- Provide training and support to other engineers using developed tools.
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Mechatronics, Physics, or a related field.
- Knowledge of software development principles.
- Experience in software development in LabVIEW.
- Solid understanding of electronics, embedded systems, and communication protocols.
- Strong debugging, problem-solving, and prototyping mindset.
- Ability to work cross-functionally in a fast-paced R&D environment.
- Knowledge in relevant engineering domains: microfluidics, sensors & microcontrollers, laser devices.
- Strong LabVIEW development experience and proficiency in Python.
- General familiarity with signal processing concepts and algorithms.
- Agile, experimental, and iterative approach to software and algorithm development.
- Experience with version control (Git) and software life-cycle workflows.
- 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.
- Further development opportunities.
Location: Research Center Garching, Faculty of Physics at LMU, Am Coulombwall 1, 85748 Garching
Email: alexander.weigel@mpq.mpg.de
Email: csaba.liber@cmf.hu
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Location of the workplace: The Campus Garching (Hochschul- und Forschungszentrum Garching), north of Munich, Germany
ATTOWORLD and the Center for Molecular Fingerprinting(CMF) are developing cutting-edge femtosecond laser technologies to advance electric-field molecular fingerprinting techniques based on field-resolved infrared spectroscopy. The laser spectrometers developed at CMF will be utilized in large scale clinical studies to target disease detection (www.lasers4life.de and www.h4h.hu). To this end, human samples along with clinical information have been collected to perform high-throughput measurements that will encompass several tens of thousands of sample measurements per year within the CMF laboratories. The research is performed in close collaboration with the attoworld laboratories (www.attoworld.de/fris) led by the Nobel laureate Prof. Ferenc Krausz at the Ludwig Maximillians Universität München (LMU) and the Max-Planck Institute of Quantum Optics (MPQ). The aim of the CMF operations is to apply next-generation laser spectrometers for the analysis of human blood samples to non-invasively detect disease and monitor health.
Modular Measurement Software components in LabVIEW
Extension and improvement of the modular extensible LabVIEW-based measurement framework, including the development of new functional modules and integration into existing automated measurement systems.
Analysis of Sample Injection Stability
Development of data analysis and signal processing methods to evaluate sample injection stability, including statistical characterization, performance metrics. Enabling injection anomaly handling through efficient detection, live feedback and measurement interventions.
Real time measurement evaluation with early error recognition and handling
Integration of fast data evaluation and feedback mechanisms into the LabVIEW-based measurement software to enable near real-time assessment of experimental results previously accessible only through offline analysis and supporting real-time error recognition, handling and sample loss prevention.
Automated Sample Management and Traceability System
Design and implementation of a software framework for automated sample identification, tracking, configuration management, and metadata handling from sample preparation to measurement results in order to reduce manual user interaction during the process.
Hardware integration for new generation spectroscopy devices
Development of software interfaces for newly introduced hardware components, including environment monitoring, device control, data acquisition, and their integration with a central database and web-based monitoring solutions.
Automation Framework for Parallel Multi-Device Measurements
Extension of existing automation architectures to support concurrent operation of multiple measurement devices, with emphasis on synchronization, scalability, and system robustness.
Automated Measurement Quality Assessment
Development of automated workflows for early-stage assessment of measurement quality, enabling data-driven decisions regarding raw data retention, deletion, and further evaluation.
Feedback Control Systems for Laser Stability Enhancement
Design, implementation, and evaluation of feedback control loops for laser stabilization (e.g. carrier-envelope phase control), combining real-time signal processing with control theory.
- Bachelor’s or Master’s studies in Electrical Engineering, Computer Engineering, Mechatronics, Physics, or a related field
- Knowledge of software development principles.
- Experience in software development in LabVIEW.
- Solid understanding of electronics, embedded systems, and communication protocols.
- Strong debugging, problem-solving, and prototyping mindset.
- Ability to work cross-functionally in a fast-paced R&D environment.
- Knowledge in relevant engineering domains: microfluidics, sensors & microcontrollers, laser devices.
- Strong LabVIEW development experience and proficiency in Python.
- General familiarity with signal processing concepts and algorithms.
- Agile, experimental, and iterative approach to software and algorithm development.
- Experience with version control (Git) and software life-cycle workflows.
If you are interested in this exciting opportunity to contribute to innovative technologies for better health care, please send us your CV and study transcripts. Additionally, please include a short statement about your motivation.
Dr. Alexander Weigel
Email: alexander.weigel@mpq.mpg.de
Csaba Liber
Email: csaba.liber@cmf.hu
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Location of the workplace: Center For Molecular Fingerprinting in Budapest, Hungary
ATTOWORLD and the Center for Molecular Fingerprinting(CMF) are developing cutting-edge femtosecond laser technologies to advance electric-field molecular fingerprinting techniques based on field-resolved infrared spectroscopy. The laser spectrometers developed at CMF will be utilized in large scale clinical studies to target disease detection (www.lasers4life.de and www.h4h.hu). To this end, human samples along with clinical information have been collected to perform high-throughput measurements that will encompass several tens of thousands of sample measurements per year within the CMF laboratories. The research is performed in close collaboration with the attoworld laboratories (www.attoworld.de/fris) led by the Nobel laureate Prof. Ferenc Krausz at the Ludwig Maximillians Universität München (LMU) and the Max-Planck Institute of Quantum Optics (MPQ). The aim of the CMF operations is to apply next-generation laser spectrometers for the analysis of human blood samples to non-invasively detect disease and monitor health.
… moreThe 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.
- Design, implement, and maintain scalable measurement software with minimal manual intervention
- Optimize algorithms and resource usage to maximize system performance and throughput.
- Develop data management, sharing, and security mechanisms in alignment with best practices.
- Collaborate with hardware and R&D teams to integrate software with the laboratory instruments.
- Implement testing, monitoring, and debugging workflows to maintain high software quality.
- Support continuous integration, deployment pipelines for efficient development cycles.
- 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.
Email: alexander.weigel@mpq.mpg.de
Csaba Liber
Email: csaba.liber@cmf.hu
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The Field-Resolved Infrared Spectroscopy (FRIS) Group (www.attoworld.de/fris), located at the Chair of Experimental Physics of Prof. Ferenc Krausz at Ludwig-Maximilians-Universität München (LMU), together with the Max Planck Institute of Quantum Optics (MPQ) and the Center for Molecular Fingerprinting (CMF, www.cmf.hu) is pioneering ultrafast femtosecond laser technologies to advance field-resolved infrared spectroscopy for molecular fingerprinting.
… moreIn collaboration with the Molecular Biophysics Group of Dr. Georg Krainer (www.molecular-biophysics.uni-graz.at/en) at the University of Graz, an expert in microfluidics, we are working on integrating microfluidic systems with field-resolved infrared spectroscopy. The resulting microfluidics-integrated laser spectrometers hold strong potential for application in large-scale clinical studies for early disease detection (see www.lasers4life.de and www.h4h.hu), enabling high-throughput measurements of human samples coupled with clinical metadata.
We are seeking for highly motivated and skilled students to join our team. The project focuses on exploring the applicability of droplet microfluidics for handling small sample volumes to enhance field-resolved infrared spectroscopy measurements. This work has the potential to contribute to development of molecular fingerprinting techniques for clinical sample analysis, ultimately aiming to improve healthcare in the long term. Major tasks will include assembling and testing a system for reproduceable droplet generation (both single and double emulsions), assessing the impact of various surfactants and oils on spectral measurements with field-resolved infrared spectroscopy, integrating the droplet generation system with the laser-based field-resolved infrared spectroscopy setup, and conducting experiments to evaluate the potential of droplet microfluidics for advancing spectral measurements of small sample volumes.
- BSc background in microfluidics, physics, automation, biology, chemistry or related fields;
- Enthusiasm to combine microfluidics and latest developments in laser physics to advance clinical diagnostics for better health care.
- Location: Research Center Garching, Faculty of Physics at LMU, Am Coulombwall 1, 85748 Garching;
- Possibility for a research visit at the University of Graz.
For application, please send the following documents to to Eszter Márton-Szűcs, as the HR associate:
- A brief cover letter explaining your interest in the position, and your qualification;
- Your CV;
- Your bachelor and master transcripts;
- Contact information for two references.
Email: alexander.weigel@mpq.mpg.de
Email: igor.kukhtevich@lmu.de
Email: georg.krainer@uni-graz.at
If you are interested in this exciting opportunity to contribute to better health care, please send us your CV and study transcripts. Also, please write a couple of lines about your motivation.
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