Hybrid Brain-Computer Interface Researcher – Neurotech

Über das Unternehmen

Siemens Healthineers pioneers breakthroughs in healthcare, shaping the future of medicine with a legacy of innovation spanning over 170 years. As a leading medical technology company, we are committed to empowering healthcare professionals and improving patient outcomes worldwide. Our Vienna R&D hub is at the forefront of developing cutting-edge solutions, including advanced neurotechnology, diagnostic imaging, and therapy systems, to address the most pressing health challenges.

Stellenbeschreibung

We are seeking an innovative and passionate Hybrid Brain-Computer Interface Researcher to join our dynamic Neurotech team in Vienna. This role offers a unique opportunity to contribute to groundbreaking research and development in the field of BCI, focusing on integrating various neural signal modalities with advanced algorithms to create intuitive and robust interfaces. The ideal candidate will have a strong background in neuroscience, signal processing, machine learning, and experience with both invasive and non-invasive BCI systems. You will play a crucial role in designing, implementing, and validating novel BCI paradigms, contributing directly to products that enhance quality of life for patients globally.

Hauptverantwortlichkeiten

• Design and conduct experiments to develop and validate novel hybrid BCI paradigms.
• Process and analyze diverse neurophysiological data (e.g., EEG, ECoG, fMRI) using advanced signal processing techniques.
• Develop and implement machine learning algorithms for real-time decoding of brain signals.
• Collaborate with cross-functional teams including neuroscientists, engineers, and clinicians.
• Contribute to the scientific community through publications, presentations, and patent applications.
• Maintain rigorous documentation of research methods, results, and experimental protocols.
• Stay abreast of the latest advancements in brain-computer interfaces and neurotechnology.

Erforderliche Fähigkeiten

• Ph.D. in Neuroscience, Biomedical Engineering, Computer Science, or a related field.
• Proficiency in Python or MATLAB for data analysis and algorithm development.
• Strong background in signal processing, particularly for neurophysiological data.
• Experience with machine learning techniques for classification and regression.
• Familiarity with various BCI hardware and software platforms.
• Proven ability to conduct independent research and problem-solve complex technical challenges.
• Excellent written and verbal communication skills in English.

Bevorzugte Qualifikationen

• Post-doctoral experience in BCI or related neurotechnology research.
• Experience with real-time BCI systems and low-latency data processing.
• Knowledge of ethical considerations and regulatory guidelines for medical devices.
• Familiarity with cloud computing platforms (e.g., AWS, Azure) for data management.
• Experience with C++ programming for high-performance computing.
• Publications in top-tier journals or conferences in the BCI domain.

Vorteile & Zusatzleistungen

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working arrangements.
• Opportunities for professional development, conferences, and training.
• State-of-the-art research facilities and equipment.
• Subsidized public transportation pass.
• Company pension scheme and employee stock purchase plan.
• On-site cafeteria with healthy meal options.

Jetzt bewerben