Research Assistant in Computational Cognitive Neuroscience (m/f/d)
To support the Professorship for Applied Computer Science with a focus on Cognitive Systems at the Faculty of Mathematics and Computer Science, Physics, Geography we are looking for a
Research Assistant in Computational Cognitive Neuroscience (m/f/d)
The working time is at least 20-40 hours per month.
About Us:
Join our dynamic and innovative team at the Visual Cognition & Computational Neuroscience Lab. We are dedicated to understanding the intricate processes underlying visual perception and cognition using cutting-edge machine learning techniques as a test bed. Our lab is a collaborative and supportive environment, where curiosity and creativity are highly valued.
Position Summary:
We are seeking an enthusiastic and highly motivated Research Assistant to join us. The ideal candidate will have a strong background in coding with Python, experience in deep learning, and a keen interest in using machine learning to study visual perception. This is an excellent opportunity to gain hands-on experience in a fast-evolving field and contribute to groundbreaking research.
Key Responsibilities:
Assist in the design and implementation of machine learning models for studying visual perception.
Qualifications:
Bachelor's or Master's degree in Cognitive Science, Data Science, Math, Computer Science, or a related field. Familiarity with programming in Python preferably for deep learning. Strong analytical and problem-solving skills. Eagerness to learn.
Preferred Qualifications:
Experience with data analysis and visualization tools (e.g., NumPy, Matplotlib). Familiarity with neuroimaging data and techniques (e.g., fMRI). Knowledge of visual perception theories and cognitive neuroscience principles.
Application Process:
To apply, please submit your resume until December 31st, 2024 to elahakbri@gmail.com with a few lines about your research interests and how they align with ours. We look forward to your application!