IoT Data Scientist

At imec, solutions4IoT

The position

Your main focus is to implement algorithms for Big-data applications for Gas&Ion sensors and the IoT-Solutions team. Applications include sensor development, smart-city and smart-building.

 

Your responsibilities

  • Development of algorithms and solutions for IoT systems. Including applications for synchronization, sensor compensation, sensor calibration, and error correction.
  • Interfacing with experts on artificial intelligence, data science, deep learning algorithms.
  • Contribute to the vision for the evolution of IoT systems over the next years.
  • Contribute to the IoT system team discussions and interact with system experts, analog and digital IC designers, SW stack developers.
  • Interact with external partners as part of the second-line technical support. 

 

Your profile

  • M.Sc. or PhD degree in computer science or electrical engineering or equivalent through experience.
  • You have relevant hands-on  experience in machine learning, signal processing algorithm development (For PhD 2 years work experience, for Msc 5+ years).
  • Solid understanding of statistical performance metrics, generic signal processing and machine learning tools.
  • You have a good understanding of state-of-the-art algorithms, particularly in the fields of  time-series analysis, multivariate analysis, estimation/classification (detection) theory and neural networks.
  • Experience with air quality monitoring, smart-cities and smart-building systems is a plus.
  • You hold a proven track record in multi-disciplinary projects in software and algorithm design.
  • Experience in programming tools MATLAB, R, Python.  Knowledge Java/JS is a preferred. Knowledge in C/C++ is a plus.
  • Knowledge in working with prevalent NoSql (e.g., MongoDB) and SQL DBs.
  • Experience with state-of-the-art cloud services e.g., Google GCP, Amazon AWS, Microsoft Azure is a plus.
  • Experience with transferring research results into development.
  • You have excellent communication skills in English (written and spoken).
  • You are a flexible team player, you see changes as an opportunity to learn and grow.
  • Quick learner, able and interested in acquiring new skills and competences.
  • You take responsibility for the process from specification to implementation, simulations, testing and debugging, including communication and alignment with different stakeholders.

 

For all inquiries, please contact:

Ms Najat Loiazizi, HR specialist Telephone number: +31 (0)40 40 20 675

 

Apply now

 

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