“DONUT” is a project funded by the European Union. Its primary objective is to enhance the education and training of doctoral candidates, particularly in the fields of Brain-Computer Interface (BCI) and Electroencephalography (EEG) technologies. BCI detects brain signals, analyses them, and translates them into instructions that a computer can understand. BCIs vary in invasiveness, ranging from non-invasive methods such as EEG and Magnetic Resonance Imaging to partially invasive methods like Electrocorticography, and fully invasive methods like Microelectrode arrays. The project's mission is to establish a multidisciplinary and inter-sectoral Doctoral Network (DN) for talented researchers, specifically doctoral candidates (DCs), to equip them for research in EEG-based BCI applications. These BCI tools can serve various purposes, including communication, signal analysis, applications in healthcare (rehabilitation, neural prosthetics, diagnostics), industrial applications, and even in the entertainment sector (Virtual Reality, biometrics). Early scientific independence is one of key goals of PhD training programmes.

The crucial point of this research project is to enhance doctoral training at the European level and bolster Europe's innovation capacity through the establishment of a cutting-edge doctoral network within the European Research Collaboration on Neural Prostheses and Brain Research. Moreover, by tackling the challenges associated with modern human-machine interfaces, the project holds the potential to facilitate the co-development of innovative Brain-Computer Interface (BCI) technologies. It is the ambition of DONUT to build a strong and lasting network not only between the DCs but also between the participating beneficiaries and associated partners. DONUT researchers will benefit of a dense network of contacts with scientists acquired during network-wide training events, to improve their career prospects in the European and worldwide innovation sector, having the opportunity to become scientists employable in both the industrial and academic sectors. The participation of 7 industrial participants in research and training programmes will guarantee extensive inter-sectoral experience for the trainees and maximise the impact.

Aarhus University will develope of a generic and low power solution for continuous impedance measurements in wearable EEG devices for user-friendly everyday use. As a part of this development, an integrated circuit suitable for high-impedance measurements must be designed.