Lullabyte
Lullabyte
Lullabyte is a research project which focuses on the effect of music/sound on sleep.
The MSCA Doctoral Network "Lullaybte" is funded by Horizon Europe (HORZION) for 4 years (November 2022 - October 2026). MSCA stands for Marie-Skłodowska Curie Actions and includes the EU's career support program for PhD students and postdocs in the field of excellence of HORIZON EUROPE.
"Lullaybte" will train a new generation of interdisciplinary and internationally experienced researchers in order to provide the rapidly growing market of personalized, data-based generated music with both a solid scientific foundation and the personnel to strengthen Europe's position in such technologies. A total of ten doctoral students will be trained in the interdisciplinary research area and acquire profound skills that are relevant for research, industry and the cultural sector. The PhD students, each based at the participating universities, are investigating the effects of music on sleep in very different settings and from different points of view. One of them is the brain's transition from waking– to sleep states.
The network includes 10 partners from 7 European countries: TU Dresden (GER), Radboud University Medical Center from the Netherlands (NL), the University of Stuttgart (GER), Aarhus University from Denmark (DK), the FEMTO-STInstitute and the Paris Brain Insitute from France (F), Universitat Pompeu Fabra from Spain (SPA), the Royal Institute of Technology from Sweden (SVE), Université de Fribourg from Switzerland (CH) and the Berlin-based start-up Endel (GER).
PhD position at Lullabyte MSCA DN: Open position!
Fellow 9: Testing algorithmic music with wearable EEG in home settings
The effectiveness of music for sleep has been evaluated mostly based on subjective impressions. Music, on the other side, has been not always developed in close relationship with these impressions. This applies mostly for lullabies only. We claim that we can enhance the effects of music on sleep quality when generating music that is especially designed and personalized for the sleepers needs. Thus, we generated first examples of algorithm-based music based on the subjective experiences in combination with theoretical considerations. However, an empirical test if and to what degree such music actually aids sleep still has to be performed.
This project aims at an empirical test of the effects of algorithmically generated music on sleep quality, using large-scale data acquisition using wearable EEG in home-settings.
Recruiting institution: Endel (Berlin, Germany).
The project includes secondments with Martin Dresler (Donders Sleep & Memory Lab, Radboud university medical center, Nijmegen, The Netherlands) and Miriam Akkermann (TU Dresden, Germany) for 6 months each.
Requirements: Master degree (or equivalent) in musicology, music technology, computer music, music psychology or related fields with strong skills in music research (e.g. proven by master thesis). A basic knowledge in quantitative analysis is required. Proof of English proficiency, as communication and teaching language throughout Lullabyte is English (e.g., TOEFL or similar test, not for native speakers). Basic knowledge of German is helpful, yet not required.
Applicants must not have resided or carried out their main activity (work, studies etc.) in Germany for more than 12 months in the last 36 months before the date of recruitment.
Please send your applications including motivation letter, CV, and references contact information to Miriam Akkermann