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Data Scientist for Neuroadaptive Human-Computer Interaction (HCI)

  • Berlin, Berlin, Germany

Job description

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 seeking an innovative and skilled data scientist with 1-3 years of experience to join our team. This position has a particular focus on the design and development of neuroadaptive systems, i.e., systems that can adapt to the user's cognitive and emotional states in real-time, based on  a number of simultaneously obtained streams of data. The data in question will include decoded brain activity, discrete event markers, and other continuous or discrete data points providing additional contextual information stemming from a human-computer interaction setting. The successful applicant must have a thorough understanding of the data, and will focus, among other things, on: the efficient and effective co-registration and modelling of the data; the conceptualization, design, and implementation of a comprehensive general framework to automatically find patterns and regularities in this data; and the deployment of that same framework to enable existing HCI implementations to detect and respond to such regularities, making them neuroadaptive. The end goal of this development is to provide the functionality necessary to meaningfully enhance user experience across various applications based on decoded brain activity, even when the exact interaction is not known or intentionally left open at design time. Therefore, a large weight is placed on creativity and ability to find new modeling paradigms as well as designing, implementing, and validating PoC applications.

As such, the successful candidate will apply their expert knowledge of both human psychology, interactive systems, and probabilistic modeling to, among other things,

  • investigate and generate ideas for promising modeling frameworks and data structures,
  • generate mathematical models of human-computer interactions,
  • develop methods to perform automatic inference based on the modelled data,
  • design and develop experiments, prototypes, and PoC applications to evaluate, validate, and refine the methods,
  • write computer code, design experiments, and coordinate the necessary data acquisition,
  • conduct extensive research into existing HCI and adaptive systems,
  • collaborate with experts in different fields, including neuroscience, computer science, and machine learning to bring this technology closer to the market,
  • identify key use cases of emerging neuroadaptive capabilities,
  • stay abreast of the latest developments in HCI, neuroadaptive technology, and related fields.

Job requirements

  • Advanced degree in related field.

  • Strong modelling, analytical, programming languages, and system design skills.

  • Familiarity with brain-computer interfaces.

  • Proven experience in the mathematical modelling and analysis of human-computer interaction.

  • Proven postgraduate experience in the field of human-computer interaction, computational modelling, mathematical modelling, or similar.

  • Ability to work collaboratively in a multidisciplinary team and a fast-paced environment.

  • Strong communication and presentation skills.