PhD position in Sensory Neurotechnology

Friedrich-Alexander-University Erlangen-Nuremberg (FAU); Erlangen; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

Die Fakultät für Sensory Neuroengineering sucht einen Doktoranden für ein innovatives Projekt zur neurobiologischen Mechanistik des Sprechverständnisses. Diese Position bietet die Möglichkeit, an einem aufregenden Themenfeld an einer Spitzenuniversität zu arbeiten, dabei EEG-Hyperscanning-Technologien einzusetzen und KI-Methoden zu entwickeln. Unterstützung wird durch ein dynamisches wissenschaftliches Umfeld sowie zahlreiche Entwicklungsmöglichkeiten geboten.

Leistungen

Exzellente wissenschaftliche Umgebung

28 Tage Urlaub im Jahr

Umfangreiche persönliche Entwicklungskurse

Zusammenarbeit mit exzellenten Partnern

Qualifikationen

• Starker Interessensschwerpunkt in neurologischer Forschung an der Schnittstelle zur KI.
• Erfahrung in Signalverarbeitung oder technischen Basiskompetenzen wünschenswert.
• Hohe Eigenmotivation und der Wunsch unabhängig zu arbeiten.

Aufgaben

• Durchführung nicht-invasiver EEG-Messungen während der Sprachverarbeitung.
• Entwicklung und Anwendung von KI-Methoden zur Analyse von EEG-Signalen.
• Analyse und Kommunikation der Ergebnisse in Fachzeitschriften.

Kenntnisse

Signalverarbeitung

Maschinenlernen

Neurobiologie

Neuroimaging

Exzellente Kommunikationsfähigkeit

Ausbildung

Exzellenter Abschluss in Informatik, Mathematik, Physik oder Ingenieurwesen

Jobbeschreibung

The Chair for Sensory Neuroengineering at the Department Artificial Intelligence in Biomedical Engineering is looking for a PhD student to work on an innovative project in the neurobiology of communication. The project will investigate neurobiological mechanisms and electrophysiological markers of speech comprehension. You will therefore develop and employ EEG hyperscanning, in which the neural activity of several subjects engaged in a conversation will be measured simultaneously. You will furthermore develop AI algorithms to analyse the obtained data. The results will contribute to better customization and real-time adaptation of hearing aids to their wearers.

• Non-invasive measurement of brain activity (EEG) during speech processing
• Development and application of AI methods for the analysis of EEG signals regarding speech comprehension and hearing impairment
• Analysis and communication of the obtained results
• Publication of the results in scientific journals and presentation of the results in national and international conferences

Your profile

• 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

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) or equivalent stipend.

How to apply

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).

Apply now

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2025-07-18 23:59 (Europe/Berlin)
2025-07-18 23:59 (CET)

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Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is one of the largest universities in Germany.