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:
- 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)
—————–Quick Overview————- | |
Organization | Charité – Universitätsmedizin Berlin |
Country | Germany |
Fellowship Level | Doctoral |
Subject areas |
Machine Learning, Computer Science, Statistics, Mathematics, Computational (Neuro) Science, Data Science, Physics, Electrical/Biomedical Engineering |
Fellowship amount | Varies |
Eligibility | Open to all nationalities |
Deadline | November 1st, 2019 |
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