Overview

We are seeking a postdoctoral fellow to work on exciting
interdisciplinary projects at the intersection of machine learning and
education at the Computer Science Department at SUNY Albany, NY, USA.

The successful candidate will contribute to a project funded by the
National Science Foundation (NSF) on developing predictive models to
detect and characterize procrastination processes in students in the
context of online learning environments. The project has an emphasis
on temporal and social modeling of student trace, survey, and
interaction data, using sequential and process models.

Company:

SUNY-Albany

Qualifications:

* PhD in computer science with a focus in machine learning,
educational data mining, recommender systems, or network science;
* A strong research record, documented by recent publications in
top-tier conferences and journals;
* Being highly motivated and creative, enjoying working in a
collaborative research environment.

Language requirements:

* Good communication skills and fluency in English;

Educational level:

Ph. D.

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