02 PhD Positions in Machine Learning/Neuroimaging at Charité 1278 views

The Brain and Data Science Lab of Dr. Stefan Haufe at Charité – Universitätsmedizin is seeking two highly motivated PhD students in Machine Learning/Neuroimaging.

Duration: Appointments can be made for four years starting immediately.

Projects:

1. Theory and practice of interpreting machine learning models (ref. DM.208.19a/b): This project can be carried out together with Prof. K.-R. Müller at TU Berlin.

• Estimating and characterizing EEG/MEG functional connectomes in aging and dementia (ref. DM.209.19a/b): This PhD project will establish a best practice to reconstruct non-linear connectivity from EEG/MEG data. The resulting methods will be used to study brain communication in aging and neurological conditions (dementia) using large datasets.

Requirements:

• Candidates are expected to hold a very good MSc or equivalent degree preferably in a technical field (Machine Learning, Computer Science, Statistics, Mathematics, Computational (Neuro) Science, Data Science, Physics, Electrical/Biomedical Engineering, etc.).
• All positions require a solid math/statistics background, proficiency in written English, and good coding skills (e.g., Matlab, Python, C++, Java).
• Prior experience with functional neuroimaging data is a plus.

Applications:

Applications should be sent to stefan.haufe@charite.de. All attached documents should be contained in a single pdf and must include:

• Letter of motivation
• CV
• Transcripts and degree certificates
• References
• An English-language writing sample
• A coding sample (e.g. link to a github project)