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 prototype hearing aids with neurofeedback should be then be able to abadjust to the needs of their users and to adapt in real time.

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).

FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for industry. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. 

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).

More information is available here:
https://www.jobs.fau.de/jobs/phd-student-in-neurotechnology-u98170569/