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Research Opportunities

Computer Science

[Closed]

Work description

- examine the access logs from platforms providing behavioral digital therapies to identify patterns in user behavior; - develop metrics to quantify user engagement, such as session frequency, duration, and interaction types. - analyze the relationship between these metrics and other engagement metrics using statistical techniques; - analyze the relationship between metrics and therapy outcomes using statistical and machine learning techniques. - build predictive models to identify key user behaviors that correlate with successful therapy outcomes. - validate the models using appropriate techniques, such as cross-validation and testing on unseen data. - develop recommendations to enhance user engagement and therapy effectiveness based on the findings. - write and publish a scientific article.

Academic Qualifications

Degree in informatics and computing engineering or related field

Minimum profile required

- ability to read, write and speak in English.

Preference factors

- knowledge of machine learning.

Application Period

Since 14 Nov 2024 to 04 Dec 2024

[Closed]

Centre

Human-Centered Computing and Information Science

Scientific Advisor

Carla Lopes