Post Doc Position in Cardiovascular and Respiratory Physiological Modeling for Critical Care 70%

Universität Basel; Eptingen; Vor Ort; CHF 80’000 - 100’000; Vollzeit

Zusammenfassung

The Cardiopulmonary Physiology and Mechanical Support Research Group at the University of Basel seeks a post-doc to advance research in computational modeling of cardiovascular systems. This 4-year position offers opportunities for collaboration, advanced training, and contributions to impactful research in critical care physiology.

Leistungen

State-of-the-art technologies and core facilities

Potential collaboration opportunities with industry partners

Training in advanced hemodynamic monitoring techniques

Dynamic, international, and supportive research team

Qualifikationen

• PhD in related disciplines required.
• Strong programming skills in Python and/or MatLab.
• Experience in signal processing, data analysis, and computational modeling.

Aufgaben

• Develop and validate computational models of cardiovascular and respiratory physiology.
• Collaborate with clinicians to translate research findings into clinical practice.
• Publish research findings in high-impact journals.

Kenntnisse

Programming skills in Python

Programming skills in MatLab

Signal processing

Data analysis

Computational modeling

Knowledge of cardiovascular physiology

Knowledge of respiratory physiology

Fluent in English

Ausbildung

PhD in Biomedical Engineering, Data Science, Computer Sciences, or Mathematics

Jobbeschreibung

The Cardiopulmonary Physiology And Mechanical Support (CPAMS) Research Group offers this position at the Department of Biomedical Engineering (DBE) at the University of Basel. The DBE is jointly run by the University of Basel and the University and University Children's Hospitals Basel and combines teaching and research at the interface between natural sciences and medicine in translational biomedical engineering research.
The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve understanding of critical care physiology and mechanical circulatory support.

Position Available: immediately
Length of available position: 4.0 years

Your position

• Develop and validate computational models of cardiovascular and respiratory physiology.
• Analyze and interpret data from preclinical and clinical studies.
• Integrate multi-source data to create comprehensive physiological models.
• Contribute to establishing CPAMS as a center of excellence for critical care physiology.
• Opportunity to participate in preclinical lab work and ECMO simulations.
• Assist in grant applications and funding acquisition.
• Collaborate with clinicians to translate research findings into clinical practice.
• Participate in preclinical studies and visit the ICU to gain clinical insights.
• Publish research findings in high-impact journals.

Your profile

• PhD in either Biomedical Engineering, Data Science, Computer Sciences, Mathematics, or related disciplines.
• Strong programming skills, preferably in Python and/or MatLab.
• Experience in signal processing, data analysis, and computational modeling.
• Knowledge of cardiovascular and/or respiratory physiology is highly desirable. Prior experience with animal studies and/or clinical data analysis is advantageous.
• Demonstrated ability to develop and validate in silico models of complex physiological systems.
• Publications or research experience related to physiological modeling or signal analysis.
• Fluent verbal and written communication skills in English.
• Highly motivated, interactive team player.

We offer you

• Contributing to the establishment of CPAMS research programs, including the recruitment and leadership of PhD students.
• A stimulating, challenging, and interdisciplinary translational research project
• State-of-the-art technologies and core facilities
• Opportunity to work with clinical data from the ICU at University Hospital Basel
• Integration within an international research network
• Potential collaboration opportunities with industry partners
• Training in advanced hemodynamic monitoring techniques and methodologies
• A dynamic, international, and supportive research team

Application / Contact
Please get in touch with PD Dr. med. Kaspar Bachmann for any questions via [e-mail]. We look forward to receiving your complete applicationvia the university's online application portal (see button below). Applications by other means will not be considered.
Application deadline: Applications will be reviewed as they arrive.