[FieldTrip] PhD and Postdoc positions: state-dependent and adaptive neuro-stimulation, University Hospital Tuebingen

lollo.seme at libero.it lollo.seme at libero.it
Tue Feb 19 15:18:23 CET 2019


Good afternoon,

I am Lorenzo Semeia, currently doing a post-degree traineeship at the MEG Center in Tuebingen (The building next to yours). I saw the advertisement for the PhD position, and I would like to ask you some questions if you find 10 minutes for a meeting.

Best,

Lorenzo

> 
>     Il 19 febbraio 2019 alle 13.26 Laura Arendsen <laura.arendsen at uni-tuebingen.de> ha scritto:
> 
>     PhD and Postdoc positions: state-dependent and adaptive
>     neuro-stimulation, University Hospital Tuebingen
> 
>     Our group at the Div. Functional and Restorative Neurosurgery,
>     University Hospital Tuebingen, Germany, unites neuroscientists,
>     engineers, computer scientists and physicians following a common goal:
>     To improve the lives of patients with neurological disorders using
>     state-dependent and adaptive stimulation of the nervous system. To
>     achieve this goal, we combine online-analysis of electrophysiology
>     (e.g. EEG, LFP) with non-invasive (TMS, tACS, tDCS, FES, NMES) or
>     invasive (DBS) stimulation. In order to strengthen our team, we are
>     looking for Postdocs and PhD students.
> 
>     As a translational group, we work closely together with biomedical
>     companies to gain access to new tools, combine basic studies on
>     healthy subjects with clinical studies on patient populations, and
>     apply the knowledge gained from these studies to develop and refine
>     these new tools. Representative work from the last months: Naros et
>     al. Mov Disord. 2018, Khademi et al. Cereb Cortex. 2018, Kraus et al.
>     J Neurosci. 2018 and Guggenberger et al. Brain Stimul 2018.
> 
>     What you can expect
>     • Design and evaluate novel brain stimulation paradigms. Investigate
>     the effects of these paradigms using electrophysiological data. Expand
>     the understanding of the human brain.
>     • Opportunity to work with in vivo data. Examine electrophysiological
>     signals from patients and healthy controls. We support your work with
>     a broad range of pre-build analysis tools and assist you in designing
>     your own approaches.
>     • Access to state-of-the-art technologies to generate reliable results.
>     • Join a team that is united by a vision: To enhance the understanding
>     of the human brain in order to invent and implement more effective
>     therapies.
>     • 3-year contract, third-party-funded in accordance with the German
>     public service collective agreement pay scale and your previous
>     experience.
> 
>     Qualifications
>     • Team-player
>     • Solid understanding of statistical data analysis, digital signal
>     processing and/or programming principles
>     • Programming skills in Python or MATLAB and/or experience in applying
>     statistical tools, e.g. machine learning for data analysis.
>     • Experience with relevant techniques, i.e. tDCS, TMS, NMES, M/EEG,
>     and/or EMG.
>     • Master’s degree or PhD in the field of neuroscience, cognitive
>     science, biology, computer science, engineering, data science or
>     related fields.
> 
>     Application
>     • Please send your significant application electronically (pdf-files
>     only) to tanja.mathis at med.uni-tuebingen.de
>     • Motivational letter including CV, publication record, names and
>     email addresses of three professional references, Transcript of
>     Records, TOEFL scores or other evidence of English and/or German
>     proficiency
> 
>     Kind regards,
>     Laura Arendsen
> 
>     _______________________________________________
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>     https://doi.org/10.1371/journal.pcbi.1002202
> 
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