IT:U (Interdisciplinary Transformation University Austria) is seeking a motivated candidate for a fully funded PhD position focused on integrating multi-modal data and AI to advance the understanding and detection of Parkinson’s Disease.
PhD Position: Parkinson’s Disease Research at IT:U, Austria
Designation & Overview
- Designation: PhD Student (f/m/d)
- Project Title: INDEED-PD – Integration of Novel biomarkers for Detection, Evaluation of Early Signatures, and Developmental insights of Parkinson’s Disease
- Duration: 4 Years (Full-time, 40h/week)
- Start Date: October 2026
Key Details
| Category | Details |
| Location | Linz, Austria |
| Salary | EUR 3.776,13 (gross/month, FWF rate) |
| Supervision | Dr. Jie Mei (IT:U) & Dr. Erich Kobler (JKU) |
| Commitment | 40 hours/week |
Research Area & Scope
Developing advanced AI and machine learning models for the multi-modal integration of biomarkers to enable early detection and subtyping of Parkinson’s Disease.
The INDEED-PD project is part of the Upper Austrian Research Initiative for Personalized Technical Medicine (PTM). The core focus is to develop and utilize cutting-edge AI analytical approaches to integrate multi-modal data—including EEG, ECG, and (f)MRI—to enable the early detection and subtyping of Parkinson’s Disease.
Eligibility & Qualifications
- Education: Completed (or in final stages of) a Master’s degree in a quantitative discipline (e.g., Computer Science, Physics, Electrical Engineering, Statistics, or Mechatronics).
- Experience: 1–2 years in AI/ML applied to real-world problems.
- Technical Skills: * Strong theoretical and practical knowledge of Deep Learning.
- Proficiency in Python (e.g., PyTorch, scikit-learn).
- Attributes: Excellent English communication skills (written/spoken) and the ability to work independently within an interdisciplinary team.
- Preferred: Experience with large-scale medical datasets (e.g., UK Biobank, ADNI) or computational modeling of brain circuitry.
Responsibilities
- Develop AI/ML models to analyze complex signals and time-series data.
- Design rigorous experiments to compare new methods against relevant baselines.
- Collaborate with interdisciplinary teams, including neurologists and researchers from JKU and KUK.
- Present findings in scientific publications and at international conferences.
How to Apply
Interested candidates should submit an online application including the following documents:
- Curriculum Vitae (CV)
- Bachelor’s and Master’s diplomas (or equivalent)
- Transcripts of Records
- Motivational letter
- Contact information for up to 3 references (professors/collaborators)
Application Deadline
The deadline to submit your application is August 5, 2026.
