Research Technician in Machine Learning - Early anomaly and novelty detection in time series
We are looking for a research technicians in Machine Learning to join our Knowlegde Transfer Unit. The selected candidate will colaborate in knowledge transfer projects with industry and research entities. He/She should have a Master’s degree in Statistics, Computer Science, or a closely related field and a strong background in Statistics and Mathematics.
The technician will be working in the following area:
Early anomaly and novelty detection in time series