PhD student in Neurotechnology

The Chair for Sensory Neuroengineering at the new Department Artificial Intelligence in Biomedical Engineering is looking for a PhD student to work on an innovative project in neurotechnology.
Together with partners in the Cluster4Future SEMECO (TU Dresden, MED-EL, Fraunhofer) you will develop a Brain-Computer-Interface (BCI) for the next generation of hearing aids. To this end you will develop AI methods for analyzing brain signals and for steering the processing of acoustic signals. The new hearing aids with neurofeedback will then be able to automatically adjust to the needs of their users and to adapt in real time.

To apply, please send a letter detailing your motivation, a CV, copies of your degrees and details of two referees. Please combine all documents into a single pdf and send them per email with subject “Application PhD student” to Prof. Dr. Tobias Reichenbach (tobias.j.reichenbach(at)fau.de).

PhD student in Neurotechnology

Das Aufgabengebiet umfasst u. a.

  • Development and application of AI methods for the analysis of EEG signals as well as acoustic signals
  • Close collaboration with partners in the Cluster4Future SEMECO (TU Dresden, MED-EL, Fraunhofer)
  • Analysis and communication of the obtained results
  • Publication of the results in scientific journals and presentation of the results in national and international conferences

Notwendige Qualifikation

  • Excellent degree in computer science, mathematics, physics, engineering or a similar disciplince
  • Strong interest in neurological research at the interface to AI
  • Experience in one (or several) of these areas: signal processing, machine learning, neurobiology and neuroimaging
  • Excellent organisational capabilities
  • High own-initiative and desire to work independently
  • Excellent cooperation, communication and team skills
  • Excellent knowledge of written and oral English
  • Strong motivation to graduate within three years

Bemerkungen

AI at the interface to neurobiology is a highly timely topic of immense societal relevance. We offer you the possibility to actively shape this exciting and rapidly developing field. We support your work through:

  • A lively scientific environment within the Department and the possibility to cooperate with excellent partners at the Friedrich-Alexander-University Erlangen-Nürnberg, at Imperial College London as well as with industry partners
  • An excellent environment to conduct leading science and to realise own scientific ideas
  • An excellent training in the development of AI methods for neuronal data
  • Development of your personal strengths, for instance through extensive courses on personal development
  • 26 days of holiday per year


The renumeration is according to Group 13 of the German public service (TV-L).

Bewerbungsschluss
09.10.2022

Detailinformationen

Stellenbezeichnung
PhD student in Neurotechnology
Besetzung zum
01.03.2023

Teilzeit / Vollzeit
Vollzeit

Kontaktperson für weitere Informationen
Prof. Dr. rer. nat. Tobias Reichenbach
E-Mail: tobias.j.reichenbach@fau.de
W3-Professur für Sensorische Neurotechnologie
Werner-von-Siemens Str. 61
91052 Erlangen Bayern
Übersicht

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