2 PostDoc positions at Graz BCI Lab - ECoG-based BCI for communication

2 open position of a PostDoc Research scientist for 4 years, 40 hours/week, expected from 1st of December 2022, at the Institute of Neural Engineering.

Admission requirements: PhD in Information & Computer Engineering, Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience or comparable with a background in EEG/ECoG data processing and Brain-Computer Interfacing.

We are looking for PostDoc researchers in the field of Brain-Computer Interfacing with a strong background in signal processing and machine learning. Experience in intracranial BCIs, and in the work with patients are welcome. Experiences with ethics and clincial studies are welcome

We offer positions for 4 years, start in December 2022.

Job grading: according collective contract for employees of Austrian universities; monthly remuneration 14x per annum:
PostDoc: 4061,50 Euro x14 gross

Applications including a curriculum vitae, a letter of interest, two letters of recommendation and other supporting material should be sent electronically to: gernot.mueller@tugraz.at
subject job@eic

More on the project INTRECOM

Not being able to communicate while still being conscious is a horrifying prospective for many patients worldwide. Patients with motor neuron disorders, trauma or stroke risk losing complete muscle control leading to Locked-In Syndrome (LIS) which leaves them completely paralysed and unable to communicate. This is an intolerable, fearful situation with very low quality of life and extreme burden of care for patients, family, and care givers. Intracranial Neuro Telemetry to REstore COMmunication (INTRECOM) will provide a breakthrough for these patients by developing a novel, fully implantable Brain-Computer Interface (BCI) technology that allows for real-time speech decoding and use in the home environment. This BCI system will significantly transcend current technology by providing a high-resolution and sustainable device, combining state-of-the-art hardware and software solutions based on Artificial Intelligence (AI) to liberate LIS patients from their isolation.

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