[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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