Postdoctoral Fellow in Online Learning

The Postdoc Academy project, a nationwide professional development online and in-person program to support skill development throughout postdoc training, from orientation to next career step, is seeking a postdoctoral fellow for research on online learning and outcomes for postdocs participants. The Postdoc Academy, starting year three of a five year program, has completed one and is building a second free online course and over 3,000 postdocs have participated so far. The project has collected data on postdoc learning actions in the online course, in small group learning communities, and behavioral changes through follow up evaluations. The goal of this research position is to parse the large amount of quantitative and qualitative data, explore multiple analysis and answer and publish on fundamental research questions about how the learning happens related to our theories of change, the impact of the learning, how community formation influences learning, and other areas to be discovered. Candidates who are interested in an academic career in quantitative social science or learning sciences are strongly encouraged to apply. The position will be one year, renewable for up to three years contingent on funding, and is available immediately.

Qualifications:

Significant research-based experience and expertise in manipulating and analyzing large data sets with quantitative and text data, learning analytics a plus

Significant experience in coding with R or Python or equivalent; experience in SQL or willingness to learn

Strong data visualization and communication skills

Education:

Computer science, statistics, STEM (with emphasis on computational skills/statistics), data sciences, learning sciences or quantitative social science PhD.

Responsibilities:

Translate edX event logs into analyzable format

Perform basic and advanced statistical analysis of online course data, particularly student engagement patterns and online course outcomes (descriptive statistics, linear/logistic regression analysis, latent class, cluster analysis, etc)

Analyze large amounts of qualitative text-based data using natural language processing

Create figures and graphs to demonstrate key findings

Lead and contribute to team discussions about data analysis and insights

Lead and contribute to the preparation of manuscripts, particularly methods and results sections of the manuscripts

Perform duties in accordance with IRB standards

Contact: Bennett Goldberg, bennett.goldberg@northwestern.edu; Director of Research in Higher Education, Training and Evaluation at Northwestern University. Position is remote until pandemic is over; generally in-person afterward, with remote as a potential option.