1. a strong academic background in informatics, bioinformatics, data engineering and analytics, statistics, computational physics, or a related discipline;
2. solid expertise in statistics, machine learning, or data analytics;
3. programming experience, ideally in Python;
4. strong analytical and problem-solving abilities;
5. a genuine interest in interdisciplinary biomedical research.

1. a friendly, vibrant, and collaborative environment with regular seminars, journal clubs, core lab funding;
2. extensive collaborative opportunities with other lab members, labs, and across institutes;
3. support in developing leadership, computational, and experimental skills;
4. structured mentoring, with opportunities to co-supervise, lead projects, and help shape the group’s scientific direction.

1. Eissa et al., “Plasma infrared fingerprinting with machine learning enables single-measurement multi-phenotype health screening.” Cell Reports Medicine 5, 101625 (2024).
2. Eissa et al., “CODI: enhancing machine learning-based molecular profiling through contextual out-of-distribution integration.” PNAS Nexus 3, pgae449 (2024).
3. Eissa et al., “The perils of molecular interpretations from vibrational spectra of complex samples.” Angewandte Chemie Int. Edition 63, e202411596 (2024).
4. Kepesidis et al., “Electric-field molecular fingerprinting to probe cancer.” ACS Central Science 11 (4), 560-573 (2025).

1. PhD in physics or a related discipline, or master degree in physics or a related discipline and at least 3 years of experience in a technology-development company;
2. Experience in project management and management skills;
3. Experience in experimental physics; ideally experience in the fields of optics, nonlinear optics or ultrafast lasers;
4. Strong communication skills;
5. Strong organizational skills;
6. Interest in interdisciplinary work with interface to biomedical applications.
7. Willingness to travel;
8. Good command of the English language.

1. Project management for the development of laser-based spectroscopy systems;
2. Optimization of communication and coordination of requirements in an interdisciplinary team across different locations;
3. Organization of laser laboratory and laser safety requirements;
4. Coordination of orders by the team;
5. Support of the team leader with organizational and scientifically related administrative tasks.
6. Support with onboarding of new team members and interaction with the communication team of Attoworld.
7. Coordination and overlooking the detailed documentation of new (next-generation) instrumentation and modifying existing ones.

[1] M. Kowalczyk, N. Nagl, P. Steinleitner et al., Optica 10, 801-811 (2023).
[2] P. Steinleitner, M. Kowalczyk, N. Nagl, Nat. Photon 16, 512 (2022).
[3] A. Weigel, P. Jacob et al., Optica, 11, 726-735 (2024).
[4] I. Pupeza, M. Huber et al., Nature 577, 52 (2020).
[5] K.V. Kepesidis et al., ACS Cent. Sci. 2025, 11, 4, 560-573.

Please send a brief cover letter explaining your interest in the position, your CV and contact information of two references to Dr. Alexander Weigel.
Visit www.attoworld.de/fris for more information.

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1. The main subject will be to develop and implement automated sample handling of microfluidics-based platforms for high-throughput and reproducible sample screening, as well as to integrate these platforms into devices for laser-based field-resolved spectroscopy.
2. The first task will be focused around establishing a new robotic positioning system for sample aspiration.
3. Writing reports and presenting the results of work.
4. Integrate software with a variety of lab instruments (oscilloscopes, power supplies, DAQ modules, sensors, etc.).
5. Identification and establishment of potential contacts/collaborations necessary for reaching the goals.
6. Traveling to collaboration partners, which will be required for the sample handling systems installation and support.

1. Master’s degree or equivalent in automation, mechatronics, electrical engineering, microfluidics engineering, or related fields.
2. Affinity to technical development and goal-oriented problem solving.
3. Experience with microelectronics control.
4. Experience with automation hardware and software.
5. Computer skills sufficient for being able to process and present acquired results.
6. Experience with sample handling/positioning systems is advantageous.
7. Experience with automation and sample handling/microfluidics/chromatography/flow cytometry platform development and implementation is advantageous.
8. Experience with microvalves, pressure-driven systems, flow and pressure sensors is advantageous.
9. Experience with NI LabVIEW and/or programming languages (Python/C++) is advantageous.
10. Experience with CAD modelling is advantageous.
11. The ability to work in an international and multicultural team.
12. Strong motivation and ability to work independently, but also well-equipped for collaboration to achieve goals, as well as respect timelines and management structure.
13. Team-spirited and like to share your results and current challenges with the team.
14. Quick learning and good communication skills, excellence in expressing in English, both orally and in written form.
15. Excellent planning skills, with a responsible mindset while keeping a high level of flexibility due to a changing environment.

1. A broad range of activities in a dynamically evolving second-to-none endeavor and professional environment.
2. Long-term opportunity with highly qualified and motivated professionals.
3. A versatile range of work packages (cafeteria, performance incentives, professional training, guaranteed 30 days of annual vacation days for the whole year).
4. Occasional home office.
5. Work in an international and multicultural environment and the opportunity for professional development.
6. Solution-oriented atmosphere and the opportunity to participate in the success of a dynamic and growing organization

1. PhD in physics or a related discipline;
2. Experience with ultrafast lasers and nonlinear optics;
3. Ideally, experience with infrared and/or THz spectroscopies using pulsed laser sources;
4. Ideally, experience with signal processing and programming (for example with Labview);
5. Interest in interdisciplinary work with interface to biomedical applications;
6. Good command of the English language.

1. Supervision and support of PhD students on a daily basis;
2. Development of efficient mid-infrared generation and high-dynamic-range electro-optic sampling in the range 3-20 µm (15-100 THz);
3. Development of ultrabroadband THz generation and high-dynamic-range time-domain detection in the range 1-30 THz;
4. Exploration of the spectroscopic information in proof-of-principle experiments on biologically relevant test samples, and on human blood samples;
5. Support of the team leader with proposals and project planning;
6. Presentation and publication of scientific output.

[1] M. Kowalczyk, N. Nagl, P. Steinleitner et al., Optica 10, 801-811 (2023).
[2] P. Steinleitner, M. Kowalczyk, N. Nagl, Nat. Photon 16, 512 (2022).
[3] A. Weigel, P. Jacob et al., Optica, 11, 726-735 (2024).
[4] I. Pupeza, M. Huber et al., Nature 577, 52 (2020).
[5] K.V. Kepesidis et al., ACS Cent. Sci. 2025, 11, 4, 560-573.

Please send a brief cover letter explaining your interest in the position, your CV and contact information of two references to Dr. Alexander Weigel.

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• 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.

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.

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

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

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.

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.