PhD Student project in AIPD doctoral network

We are thrilled to announce 14 PhD open student positions funded by the Marie Skłodowska-Curie Joint Industry-Academic Doctoral Network “AI in Parkinson’s Disease (AIPD)”. AIPD will train a group of 14 Doctoral Candidates in an intersectoral, international and interdisciplinary setting with the aim to educate the next generation of medical data scientists. Our program stands out by a strong translational focus bridging academia and industry. PhD candidates will benefit from:

• Networking Opportunities: AIPD enhances collaboration with leading institutions and researchers in academia and industry across Europe.
• Training and Skills Development: AIPD offers comprehensive training in research and transferable skills, contributing to professional growth.
• Career Advancement: AIPD increases the employability and career prospects of researchers through high-quality research experiences.
• Innovation and Impact: AIPD drives innovation and contributes to societal challenges by supporting cutting-edge research projects in the intersection field of AI and biomedicine.
• Recognition and Prestige: Affiliation with a Marie Skłodowska-Curie program is highly regarded, adding significant value to the researchers’ profiles.

AIPD’s competitive research program covers areas of highest interest for science and society with applications to Parkinson’s Disease:

• Precision medicine
• Digital health
• Trustworthy AI

At LIH, the research will explore two pioneering projects under the supervision of Prof. Dr. Krüger, in collaboration with KI ELEMENTS GMBH, and Petanux and Frauenhofer institute, respectively:

1. Exploring Speech Biomarkers for Monitoring Parkinson’s Disease This project aims to collect and analyze speech samples from Parkinson’s patients, at-risk individuals, and healthy controls. By utilizing AI/ML algorithms, the research seeks to identify speech characteristics that can predict the onset and progression of PD, offering a non-invasive method for early diagnosis and continuous monitoring of motor, cognitive, emotional, and respiratory functions (DC1).

APPLY HERE for project DC1

2. AI-Driven Disease Progression Monitoring for early diagnosis of PD This project focuses on developing and evaluating a multimodal AI/ML model that can predict the risk of an individual to develop PD and assess the putative causal effect of lifestyle on that risk. The goal is to develop multi-modal predictive AI-based tools that leverage deep phenotyped Parkinson cohort data to predict PD risk on an individual basis as well as to understand the impact of lifestyle on disease risk (DC5).

APPLY HERE for project DC5

Find out more about AIPD at https://www.aipd-dn.eu and https://euraxess.ec.europa.eu/jobs