Master's student

Time series analysis on unevenly spaced time series

Ref. 2022_051

We are looking for a data science background students to develop a framework that we can reuse to analyze unevenly spaced time series data from monitoring patients. We need the framework to be able to cluster patients, compare individual to clusters, detect trending, and other exploratory analysis.



Required skills

  • Python, SQL (SQLAlchemy)
  • Time series analysis knowledge and experience


Recommended skills

  • Good understanding in English (because we will be mostly dealing with linguistic and acoustic datasets in English)


Diversity

IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable all genders to strike the desired balance between their professional development and their personal lives.

How to apply

Please submit your application through the link below.