ID 2307: COVID-19 Survey Analysis Using Machine Learning

Research Assistant / Project

This project is in collaboration with the Charité Berlin who have collected the survey data. We are interested in investigating whether machine learning can provide additional insights into the data and/or validate existing knowledge about relationships between answers. This is offered either as a paid student assistant or a project (not both).

Job Description

• Extraction and analysis of association rules between survey answers
• Training and inspection of decision trees to predict survey answers
• Hyperparameter tuning using Optuna and cross-validation
• Regression analysis of select numerical survey analysis

Your Profile

• Proficiency working with pandas data frames, e.g., loading and filtering data
• Excellent knowledge of scikit-learn framework, especially the decision tree module
• Good German knowledge helpful, but not required

Payment

Payment will be in accordance with the posted salaries for part-time student assistants at the FAU with 9 hours per week (typically 12€ w/o bachelor’s and 13€ w/ bachelor’s degree).

Supervisors

Thomas Altstidl, M. Sc.

Researcher & PhD Candidate