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Archiv-Übersicht     Angebot Nr. 13238

Angebotsdatum: 17. Januar 2019
Art der Stelle: Doktorarbeit
Fachgebiet: Humanmedizin > Neurologie
Titel des Themas: Prediction of the clinical outcome of deep brain stimulation using pre- and intraoperative information

Institut: University Hospital Gießen & Marburg
Frau Carina Oehrn
35043 Marburg
Tel.:    Fax.:
Bundesland: Hessen
Homepage: http://www.systemsneuroscience.de
E-Mail Kontakt: mail

Beschreibung: We are looking for a highly motivated student (f/m) for a PhD project in Clinical Neurosciences.

The project will start 01.April 2019 and is estimated to be completed within three years.

This project will be conducted in the Clinical Systems Neuroscience Lab in the Department of Neurology of the University Hospital Marburg, Germany. We work closely with the Department of Neurosurgery. The hospital is affiliated with the Philipps University of Marburg, one of the oldest universities in Europe and home to one of Germany's most traditional medical faculties. Alumni range from the Brothers Grimm to Nobel Laureates Emil von Behring, Otto Loewi and Jules Hoffmann.

The project
The aim of the PhD project will be to predict and optimize the clinical outcome of Deep Brain Stimulation for Parkinson’s disease based on preoperatively and intraoperatively acquired multimodal data using machine learning.

The team
The Clinical Systems Neuroscience Lab is a multidisciplinary lab composed of neurologists, neuroscientists, psychologists, biologists and medical technicians. We use innovative analytic techniques to advance the understanding of physiological and pathological neural oscillations and develop new treatment options for neurological disorders.
To this end, we employ high-resolution scalp electroencephalography (EEG) and direct recordings from the human brain (intracranial EEG). Intracranially, we record local field potentials, as well as single unit recordings from several brain regions, such as the thalamus, hippocampus, prefrontal cortex and basal ganglia. We are particularly interested in the frequency-specific effects of deep brain stimulation on the neural signature of motor and cognitive brain functions. For further details, visit our website: www.systemsneuroscience.de.

We offer…
• An innovative and highly relevant research topic
• Cutting edge infrastructure and technology
• The possibility to learn innovative analysis techniques of neurophysiological data
• A young, interdisciplinary and international team
• The possibility to work with patients and apply your research clinically 

We are looking for…
We are looking for a highly motivated, reliable student with experience in research, who is able to critically appraise information and work independently. The applicant should have a background in neuroscience, biology, mathematics, physics or related fields (MSc or equivalent degree). Programming skills and/or experience with machine learning are advantageous, but not a prerequisite for an application. The applicant should have an affinity for mathematics and the motivation to employ and advance new complex computational methods. We are looking for a team player, who is interested in working with neurological patients as part of their research project. As the project requires communication with patients, a certain level of proficiency in German is required.

Funding is available for three years and can be extended, if necessary.

Applications should include a letter of motivation, your curriculum vitae including your research experience and list of publications. Please also provide two letters of recommendation of previous employers or principle investigators of previous labs.
We look forward to receiving your application by February 24nd 2019. Please send all documents as pdf to the junior principal investigator Carina Oehrn:

Carina Oehrn
University Hospital Gießen & Marburg
Department of Neurology
35043 Marburg, Germany
E-Mail: carina.oehrn@staff.uni-marburg.de
Methoden: Recording: High-resolution scalp electroencephalography (EEG), intracranial EEG, local field potentials, single unit recordings

Analysis: Time-frequency analysis, cross-frequency coupling, directional information transfer
Anfangsdatum: 1. April 2019
Geschätzte Dauer: Funding is available for three years and can be ex