[Comp-neuro] PhD positions in machine learning/neuroimaging available at Charité - University Medicine Berlin

Stefan Haufe stefan.haufe at charite.de
Sun Sep 16 22:54:02 CEST 2018

Dear all,

PhD positions for highly motivated graduate students are available in
the ERC funded research group of Stefan Haufe at the Berlin Center for
Advanced Neuroimaging (BCAN) of the Charité - University Medicine
Berlin, Germany.

The group will develop machine learning and signal processing methods
for the analysis of non-invasive brain signals (primarily EEG/MEG) and
apply these methods to patient data with the aim of better understanding
neurological diseases such as Parkinson's and Alzheimer’s disease.

Appointments can be made for up to four years starting from January 2019
or later. Remuneration is based on the German pay scale TVL E13 (65%
working time).

Candidates are required to hold a very good MSc or equivalent degree in
a relevant field and are expected to demonstrate extraordinary skills in
at least one of the following core areas

A: Mathematics and quantitative data analysis/modeling (machine
learning, signal processing, statistics, numerical optimization, etc.).
Experience with efficient algorithms and large data sets.

B: Neuroscience (psychology, cognitive science). Knowledge of general
research practices and experience in the design, execution, and
statistical evaluation of studies.

C: Computer science. Experience in software development, programming in
Matlab/Python/C, system administration.

Further required are excellent communication skills in English (written
and spoken), and a genuine interest in interdisciplinary work.

Prior experience with functional neuroimaging data is a plus.

Successful candidates will work at Charité's historic Mitte campus in
the center of Berlin, and will be embedded in a stimulating research

Applications should be sent by email to stefan.haufe at charite.de quoting
the reference number DM.143.18b. In addition to cv and cover letter,
applicants are encouraged to include further documentation such as
references, transcripts, copies of bachelor/master theses/research
papers (in English or German), links to github repositories, etc. . All
documents should be contained in a single pdf.

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