PhD Position: Multilevel Modeling of Outcome Predictors Following Subthalamic Deep Brain Stimulation
Develop predictive models for clinical outcomes in Parkinson’s disease using advanced statistical and machine learning techniques.
Best for:Best for researchers with a background in data science or computational modeling interested in clinical neuroscience and predictive analytics.
Overview
The Department of Cybernetics at the Czech Technical University in Prague is seeking a PhD candidate for the PICTUS Fellowship Programme. This research project focuses on identifying robust, interpretable predictors of motor improvement in Parkinson’s disease patients following subthalamic nucleus deep brain stimulation. The successful candidate will integrate clinical, motor, neuropsychological, and imaging data to develop a multi-tiered analytical framework. By comparing classical regression with modern hierarchical and penalized modeling, the researcher will contribute to improving clinical outcome predictions. The position offers access to curated clinical datasets and opportunities for international collaboration.
What you'll do
- Develop and implement predictive models for clinical outcomes in Parkinson's disease patients.
- Integrate and process diverse datasets including clinical, motor, neuropsychological, and imaging data.
- Compare and evaluate classical regression techniques against modern penalized and hierarchical modeling strategies.
- Apply advanced statistical methods such as dimensionality reduction and Bayesian modeling.
- Collaborate with a multidisciplinary team of neurologists, neurosurgeons, and data scientists.
- Contribute to the definition of clinical outcomes and the refinement of analytical frameworks.
Requirements
Degree required: Master's degree or equivalent in a relevant field.
Degree offered: PhD
Language: English; good proficiency required.
Instruction: English
- Strong background in statistical modeling or machine learning.
- Proficiency in data analysis and computational methods.
- Ability to work with complex clinical datasets.
- Excellent analytical and problem-solving skills.
- Must meet the eligibility criteria for the PICTUS PhD Fellowship Programme.
- Must hold a Master's degree or equivalent at the time of appointment.
Funding & terms
How to apply
Deadline: 2026-12-03 (Europe/Brussels)
Candidates must prepare a research proposal based on the provided list of topics. Applications must be submitted via the dedicated electronic form, including all required documentation.
- Research proposal
- CV
- Academic transcripts
Contact
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