About us

The AIPD Doctoral Network

Artificial Intelligence in Parkinson‘s Disease (AIPD)

AIPD is a doctoral network funded by Marie Skłodowska-Curie Actions (MSCA), which is a part of Horizon Europe. The MSCA are the European Union’s flagship funding program for doctoral education and postdoctoral training of researchers.

The AIPD Doctoral Network will train a cohort of 14 Doctoral Candidates (DCs) in an intersectoral, international and interdisciplinary setting. The aim is to establish an international, interdisciplinary graduate school that educates the next generation of medical data scientists, with a strong translational focus bridging academia and industry.

Our Mission

We establish a comprehensive Training Program offering PhD students not only a robust foundation in data science, including AI/ML and digital health, but also a deep understanding of ethical, legal, and regulatory frameworks, including GDPR, the European Health Data Space and the AI Act. Our curriculum is unique in its integration of entrepreneurial thinking and a focus on Parkinson’s disease (PD) as an application field. At the same time, the methodologies and insights gained will have broader applications in various disorders and are thus applicable to other areas of healthcare.

Training Focus

We offer doctoral candidates (DCs) a highly attractive multidisciplinary, translational, and individualized training program with strong focus on transferable skills and competencies. Each DC will have a direct supervisor within the recruiting organization and a second supervisor within a collaborating organization. In addition, each DC will register as a PhD student in one of the participating universities of this program (University of Bonn / Germany, Erasmus Medical Center / Netherlands, University of Luxembourg / Luxembourg, University of Pisa / Italy, University of Namur / Belgium, Royal College of Surgeons Ireland / Ireland).

 

Partners across 9 EU countries

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"Funded by the European Union under the Marie Skłodowska-Curie grant agreement No 101168379. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor REA can be held responsible for them.”