PhD Position in Closed-Loop Optimization: Radboud University is offering a PhD position to explore sample-efficient optimization strategies for experimental parameters in neurotechnological systems, particularly in brain-computer interfaces (BCIs). This role involves leveraging optimization methods and machine learning techniques to improve neurotechnology applications.
PhD Position in Closed-Loop Optimization of Experimental Parameters for Neurotechnological Systems
Designation
PhD Candidate in Closed-Loop Optimization of Experimental Parameters
| Details | Information |
|---|---|
| Employment | 1.0 FTE |
| Gross Monthly Salary | €2,901 – €3,707 |
| Position Type | Fixed-term (4 years) |
| Teaching Commitment | 10% of working time |
Research Area
- Neurotechnology
- Brain-computer Interfaces (BCIs)
- Machine Learning
- Optimization Methods
- Neuroscience
Location
Radboud University, Nijmegen, Netherlands
Eligibility/Qualification
- Master’s degree in mathematics, applied mathematics, artificial intelligence, computer science, physics, or a related discipline.
- Strong background in optimization methods (noisy/iterative active learning methods).
- Proficient in Python programming; familiarity with libraries for optimization, machine learning, and M/EEG processing is advantageous.
- Experience with electrophysiological data (EEG), BCI protocols, and a neuroscience background is a benefit.
- Strong collaborative skills and commitment to open and reproducible science.
- Excellent command of English.
Description
The PhD project aims to investigate innovative optimization approaches for neurotechnological applications. The candidate will design and implement experimental protocols in Python, conduct experimental sessions in EEG labs, and train machine learning models to analyze relevant data. It includes teaching responsibilities and active participation in high-impact research dissemination.
How to Apply
Interested candidates should apply via the designated application button on the Radboud University website. The application package must include:
- A motivation letter
- CV (including publication list and references)
- Course transcripts
- Proof of English proficiency (if available)
Last Date to Apply
20 April 2025
For further inquiries, please contact Dr. Michael Tangermann at michael.tangermann@ru.nl.
