New calls with deadlines in April-May
Internship in Clinical Gait Analysis
The University of Geneva – Kinesiology Laboratory (KLAB-Geneva)
6-month research internship in clinical gait analysis, as part of a European collaboration with Heidelberg University & University of Copenhagen (4EU+ Alliance Seed Grant). This project aims to pave the way for a large European grant application in 2026, focusing on personalized treatment for cerebral palsy (CP) using AI.
Who should apply?
How to apply?
Send your CV & motivation letter (as a single file) with the subject "4EU+ Internship Application" to stephane.armand@unige.ch European candidates only.
Deadline: April 7
_______________________________PhD position within ERC STG project “AUTOMATHIC”
Maastricht University
This 5-year interdisciplinary project aims to perform cutting-edge research in developing new methodologies for the automated modeling of the dynamic behavior of large biological networks.
In silico models aim to capture and elucidate the complex and emergent interactions of biological systems, with the goal of expediting research and potential clinical translation. For example, ordinary differential equation (ODE) models of toxin and drug transport are being developed to bring safer therapies to chronic kidney disease patients. Despite recent progress, these cutting-edge ODEs only model transport in steady state and remain limited regarding the amount and complexity of dynamic transport mechanisms as it is often not clear which kinetic relation is most suitable. This limitation is due to the manual and labor-intensive approaches to construct the ODEs, which critically hinder their application in quantitative toxicity assessment in key industrial settings like drug development. In AUTOMATHIC, we aim to develop an integrated framework for automated ODE structure identification, parameter estimation and model evaluation and explore the capabilities of the developed framework for toxin and drug transport in the kidney.
More info and application HERE
Deadline: 4 May 2025_______________________________
PhD Position in Silico Modeling and Optimization of Soft Artificial Hearts
TU Delft (Delft University of Technology)
Join a multidisciplinary consortium and develop state-of-the-art computational models to explore, optimize, and accelerate our search towards a ground-breaking soft robotic heart solution for heart failure patients worldwide.
In this project, you will focus on the numerical optimization of the soft artificial heart prototypes currently being developed within the consortium. In close collaboration with senior lab members, you will use our multi-scale computational fluid-structure interaction framework that describes the intrinsic mechanical behavior of the prototypes under realistic cardiovascular conditions to enhance the safety and efficiency of the soft artificial heart designs. You will explore different numerical optimization techniques and apply them to the existing devices to find optimum geometries, material properties, and device control methods to potentially revolutionize the field of soft total artificial hearts. Active collaboration with researchers in TUDelft’s Faculty of Mechanical Engineering and the Holland Hybrid Heart consortium will be integral to the project’s success.
More info and application HERE
