Postdoc position in open-source respiratory signal analysis (M3RESP)
Are you passionate about turning complex ICU respiratory data into open, FAIR tools that empower researchers? Join us in the Cardiovascular and Respiratory Physiology group, and help build a national digital infrastructure for next generation respiratory science.
You will work on the development of M3Resp, a new open-source FAIR platform for multimodal monitoring of respiratory signals in the Intensive Care setting, including surface EMG (sEMG), electrical impedance tomography (EIT), mechanical ventilator waveforms, and respiratory muscle pressures. This project is a close collaboration between the University of Twente (CRPH - Cardiovascular and Respiratory Physiology group, sEMG expertise center) and the Intensive Care department of the Erasmus MC (ROTARC - Rotterdam Advanced Respiratory Care group, EIT expertise center), two internationally leading institutes in respiratory and mechanical ventilation research. Open Science NL provides the funding to stimulate open, reusable, community-driven research software. Both institutions provide a full-time position each for the duration of 1 year, and both candidates will closely collaborate with each other and with data researchers in building a sustainable national digital research infrastructure.
By integrating and extending two existing research software packages (ALIVE and ReSurfEMG), you will enable unified data handling, signal processing, and user-friendly GUI-based analyses for clinical and physiological research.
You will combine Python-based software development, biomedical signal processing, and FAIR data design, and contribute to a platform that supports researchers in understanding and analyzing complex respiratory time-series data.
You will merge codebases, implement dedicated data containers, port and optimize signal processing algorithms, build a Dash-based GUI, and develop standardized analysis pipelines. The role includes community-oriented tasks such as documentation, tutorials, and user support. The work requires strong programming skills, experience with time-series data, and an interest in biomedical signals and open-source research software.
Information and application
Are you interested in this position? Please send your application via the 'Apply now' button below before April 1st and include a CV, motivation and list of publications.
Screening will be a part of the procedure.
About the department
The Cardiovascular and Respiratory Physiology (CRPH) group advances intensive care medicine toward physiology-informed precision critical care, where continuous monitoring data and mechanistic models enable personalized management of cardiovascular and respiratory failure.
About the organisation
The Faculty of Science & Technology (Technische Natuurwetenschappen, TNW) engages some 700 staff members and 2000 students in education and research on the cutting edge of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical medicine. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally and is strengthened by the many young researchers working on innovative projects with as doctoral candidates and post-docs. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.
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