Research, design, and/or implementation of algorithms with a focus on spatiotemporal data analysis tasks (ground motion time series data).
Strategy development for the field of machine learning and data analysis with a focus on Sixense applications (trend analysis, outlier detection, prediction, change detection…).
Promotion of collaborative research with interdisciplinary teams.
Requirements & Skills:
Master’s degree in computer science, Computer Engineering, or related fields (Statistics, Maths, AI).
Experience with data science /machine learning tools, including Jupyter Notebooks, TensorFlow (or other), NumPy, Pandas, Scikit-learn, etc.
Experience in Python and querying languages (e.g. SQL)
Understanding of practical machine-learning techniques
Proactive nature and great attention to detail
Ability to work as an individual and as part of a team.
Good oral and communication skills
Ability to effectively work with tight deadlines in a logical manner.
