PhD Scholarship in Neural Detection: Join the Cognitive and Motor Control Lab (CMC Lab) for a pioneering project on neural events, their detection, and their connection to behavior. This PhD scholarship focuses on developing unsupervised machine-learning methods to reliably identify neural events, investigating their coupling to behavior, and exploring the multi-scale dynamics supporting behavior. The CMC Lab emphasizes inclusivity and diversity, encouraging everyone, especially minorities, to consider this opportunity.
PhD Scholarship in Neural Event Detection and Behavior Analysis
Summary Table:
| Position Type | Study Level | Study Area | Scholarship Amount |
|---|---|---|---|
| PhD Scholarship | PhD | (Computational) Neuroscience, Physics, Mathematics | To be discussed |
Study Area: (Computational) Neuroscience, Physics, Mathematics, Statistics, Machine Learning, Psychology, and related fields.
Scholarship Description: The project aims to bridge the gap in understanding neural events and their connection to behavior. Key objectives include developing reliable machine-learning methods for neural event detection, investigating their behavioral relevance, and characterizing multi-scale dynamics during different tasks. The project seeks accessible neural markers of cognitive processes, providing insights into behaviorally relevant coordination mechanisms in the brain.
Eligibility:
- Background (Master/Diploma) in relevant fields (N)
- Comfortable with programming (Python, or Matlab) (N)
- Experience in neurophysiology data analysis (D)
- Familiarity with computational and systems neuroscience (D)
- Knowledge of machine learning techniques or sufficient mathematical background (D)
- Basic knowledge of software engineering (P)
Required Documents:
- Cover letter
- Brief research interests
- CV
How to Apply: Interested candidates can submit applications, preferably via TU Dresden’s Medical Faculty application portal by November 30, 2023, or via email. Include the required documents and use the subject heading “bne_phd_202310” for clarity.
Last Date: 30 November 2023. Early applications are encouraged. For inquiries, contact applications@cmclab.org with the subject “bne_phd_202310.”
