Summary
A fully funded PhD position (3 years, extendable) is available in the research line “AI-inspired biomarkers of brain structure and function” led by Dr. Maximilian Eggl. The position focuses on developing mathematical, machine learning, and computational methods to understand brain health and disease.
The project is based at the Institute of Neurosciences (CSIC-UMH), working closely with Dr. Silvia De Santis in an international, interdisciplinary research environment.
Designation
PhD Research Fellow (Fully Funded Doctoral Position)
Overview Table
| Feature | Details |
|---|---|
| Position | PhD Research Fellow |
| Duration | 3 Years (Extendable) |
| Funding | Fully Funded |
| Research Field | AI, Neuroscience, Computational Imaging |
| Supervisor | Dr. Maximilian Eggl |
| Co-Research Lead | Dr. Silvia De Santis |
| Institute | CSIC-UMH Institute of Neurosciences |
| Location | Alicante, Spain |
| Start Date | Autumn 2026 |
Research Area
- AI-inspired biomarkers of brain structure and function
- Interpretable machine learning in neuroscience
- Quantitative brain imaging
- Computational neuroscience
- Mathematical modeling of brain health and disease
Location
Institute of Neurosciences (CSIC-UMH), Alicante, Spain
A world-class neuroscience center with strong computational and experimental infrastructure, located on the Mediterranean coast.
Eligibility / Qualification
Applicants should have (or be close to completing) a Master’s degree in one of the following fields:
- Applied Mathematics
- Physics
- Data Science
- Engineering
- Computational Neuroscience
Required Skills:
- Strong programming skills (especially Python)
- Background in computational methods or quantitative analysis
Preferred (Not Mandatory):
- Machine Learning experience
- Interest in neuroscience or medical imaging
Job Description
The selected candidate will:
- Develop AI-based computational models for brain imaging data
- Work on interpretable machine learning approaches in neuroscience
- Contribute to research on brain disease biomarkers
- Collaborate within an international multidisciplinary team
- Participate in publications, conferences, and academic discussions
The lab operates within the Translational Imaging Biomarkers Lab, combining mathematics, neuroscience, and machine learning to study brain function and disease mechanisms.
How to Apply
Interested candidates should apply via email:
Application Requirements:
- Updated CV
- 300-word Statement of Purpose / Expression of Interest
Last Date for Apply
📌 Applications are open until the position is filled (Rolling basis)
👉 Early applications are strongly encouraged
