Organisation: Amsterdam UMC, Cardiovascular Sciences, Dep. Anaesthesiology, L.E.I.C.A.
Location: Amsterdam, The Netherlands
Status: Full-time – 36 hours
Start date: end 2026/start 2027
Profile: We are looking for an early-career scientist with the ambition to develop a translational research line within the field of acute and chronic organ protection, with a preference for the heart.
Research environment: The candidate will work in the Laboratory of Experimental Intensive Care & Anaesthesiology (L.E.I.C.A.), partly funded through the department of Anaesthesiology. L.E.I.C.A. is headed by the chairs of the dep. Anaesthesiology and Intensive Care, run by three staff members and active participant of the Amsterdam Cardiovascular Sciences research institute. Commonly there are 5-10 PhD students, 4 research assistants and 5-10 bachelor/master students.
Research area: The main research topic of the department Anaesthesiology in L.E.I.C.A. is Organ Protection, both in the acute, perioperative condition (ischemia-reperfusion, shock, sepsis) as in the chronic condition (heart failure, metabolic syndrome, diabetes, obesity). Research topics consists of cardiovascular protection against acute and chronic heart failure, ischemia-reperfusion, endothelial dysfunction, hemodynamic instability, vascular dysfunction, with emphasis on metabolism and inflammation.
A unique strength of LEICA is the ability to simulate critical illness in highly clinically relevant experimental models. This allows us to study complex pathophysiological processes and evaluate novel therapeutic strategies that can also be translated to operating room and intensive care unit.
Recommended expertise: Prior postdoctoral experience, organisational skills and a demonstrated ability to obtain extramural funding are considered strong advantages. A background in areas such as animal models of heart failure, isolated heart models, cardiac and vascular metabolism, inflammation, human primary cardiac cell lines, and/or the analysis of -omics data is required. Experience with state-of-the art molecular techniques for gene manipulation, single cell analysis and AI-based data analysis is considered an advantage.
Contact: Coert Zuurbier c.j.zuurbier@amsterdamumc.nl