2 PhD positions in Sensory Neurotechnology

The newly founded Chair for Sensory Neuroengineering at the new Department Artificial Intelligence in Biomedical Engineering is looking for two PhD students to work on innovative projects. In close collaboration with clinical and industrial partners, the Chair researches on the neural foundations of hearing, as well as on new technology for better treatments of hearing impairment. The PhD students will develop and apply AI methods to analyse neurological data on human speech processing. They will also develop AI methods to construct audiovisual speech signals for better speech comprehension.

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).

2 PhD positions in Sensory Neurotechnology

Das Aufgabengebiet umfasst u. a.

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
Development and benchmarking of AI methods for the construction of audiovisual signals to support speech comprehension
Close collaboration with clinical and industrial partners
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 biomedicine 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).