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.You will develop novel methods to measure acoustic emissions from the inner ear (otoacooustic emissions) related to speech, and to evaluate these emissions regarding cognitive factors such as selective attention. To this end, you will employ advanced methods of signal processing as well as machine learning. The developed methods can have applications in future diagnostics of hearing impairment as well as in neurofeedback for future hearing aids.

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)

Das Aufgabengebiet umfasst

  • Development and application of AI methods for the measurement of otoacoustic emissions related to speech
  • Evaluation of the measured otoacoustic emissions regarding cognitive factors such as selective attention
  • 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 Qualifikationen:

  • 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

Ergänzende Beschreibung

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

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


Für alle Stellenausschreibungen gilt: Die Friedrich-Alexander-Universität fördert die berufliche Gleichstellung der Frauen. Frauen werden deshalb ausdrücklich aufgefordert, sich zu bewerben.

Schwerbehinderte im Sinne des Schwerbehindertengesetzes werden bei gleicher fachlicher Qualifikation und persönlicher Eignung bevorzugt berücksichtigt, wenn die ausgeschriebene Stelle sich für Schwerbehinderte eignet. Details dazu finden Sie in der jeweiligen Ausschreibung unter dem Punkt "Bemerkungen".

Bei Wunsch der Bewerberin, des Bewerbers, kann die Gleichstellungsbeauftragte zum Bewerbungsgespräch hinzugezogen werden, ohne dass der Bewerberin, dem Bewerber dadurch Nachteile entstehen.

Ausgeschriebene Stellen sind grundsätzlich teilzeitfähig, es sei denn, im Ausschreibungstext erfolgt ein anderweitiger Hinweis.

Veröffentlichungsdatum: 01.03.2023