Careers at IDUN

Please see below a list of our current job openings at IDUN. To view a vacancy, click on read more below the opportunity.

Full Stack Developer


The Opportunity

IDUN Technologies is seeking a dynamically minded Full Stack Developer with a wide skill set to accelerate the development of data infrastructures and algorithms for the analysis and modelling of biosignals with a focus on EEG processing and neurotech product development. Do you want to build the world you want for yourself and society instead of trying to fit into the one that has been already created? This is opportunity we can offer at the intersection between humanity and connected device evolution. We are seeking someone who can:

  • Support us from front- to back-end development.

  • Establish a scalable data pipeline and database.

  • Help us design and develop the IDUN API.

  • Understand signal processing of timeseries data and feature extraction using conventional analytical and ML methods.

  • Build short and long-term strategies for data warehouses and model training environments.

  • Explore deep learning methods for feature extraction from complex time series data streams that are relevant to neurological events.

Read more

Machine Learning Engineer


The Opportunity

IDUN Technologies is seeking a dynamically minded Machine Learning (ML) Engineer to accelerate the development of algorithms and data infrastructures for the analysis and modelling of biosignals with a focus on EEG processing and neurotech product development. Do you want to build the world you want for yourself and society instead of trying to fit into the one that has been already created? This is the opportunity we can offer at the intersection between humanity and connected device evolution. We are seeking someone who can:

  • Bring a background in machine learning methods, time series data pre-processing, analysis pipeline development and model building.
  • Understand signal processing of timeseries data and feature extraction using conventional analytical and ML methods.
  • Explore deep learning methods for feature extraction from complex time series data streams that are relevant to neurological events.
  • Work with test engineers and the product team to setup model training pipelines with data from neurocognitive tests.
  • Build short and long-term strategies for data warehouses and model training environments.

Read more




CV

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