Sr. Neuroengineer
Berlin, Berlin, Germany
Zander Labs
Zander Labs develops neuroadaptive technology and BCIs, enhancing user interaction and decision-making with AI that adapts to real-time brain activity.Zander Labs is a leader in neuroadaptive technology, pioneering innovative solutions to enhance human-computer interaction. We are embarking on the NAFAS project, a landmark 30 million EUR initiative set to revolutionize the field.
We are looking for a passionate and inventive neuroengineer with at least 3 years of postdoctoral experience, ample knowledge of current (non-invasive) brain-computer interface (BCI) technologies and a strong background in biomedical sciences, or neuroscience, or computer science, to join our multidisciplinary research team. The successful candidate will contribute to the development of novel everyday out-of-the-lab applications of BCI technology for the enhancement of human-computer interaction.Our main challenge is to create robust methodologies that extract ongoing cognitive and affective aspects of the human mind from the electroencephalogram (EEG).
As neuroengineer, your task will include (among others):
Design, implementation, and evaluation of signal processing pipelines and machine learning approaches suitable for EEG analysis; with focus on artefact identification, artefact reduction/correction, as well as robust feature extraction and classification.
Analysis, optimization, and eventual automation of existing EEG analysis methods.
Design and preliminary implementation of signal processing pipelines for various types of biosignals, besides EEG.
High-level design of novel training paradigms for BCI technology.
Design and execution of scientific research with human subjects, in-house or on-site.
Execution, analysis, and presentation of scientific literature reviews.
Preparation and revision of internal/external scientific reports, project deliverables, etc.
Creation and presentation of training material for junior staff (e.g. research assistants).
Proactive identification of unexplored use cases of BCI technology for everyday tasks.
Requirements
Postgraduate studies in biomedical sciences, or neuroscience, or computer science, or a related field
At least 3 years of postdoctoral experience
Proven experience with BCI technology
Proven experience with common software applications for EEG analysis (e.g EEGLAB, Fieldtrip, MNE Python, etc.)
Familiarity with Python and the Lab Streaming Layer are a plus
Experience with large-scale data analysis is a plus
Knowledge of machine learning, pattern recognition, statistical inference
Knowledge of biosignal processing
Knowledge of multivariate signal analysis
Ability to work collaboratively in a multidisciplinary team.
Strong communication and presentation skills.
Excellent command (written and spoken) of English language
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Computer Science Data analysis Machine Learning Pipelines Python Research Statistics Streaming
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