Job Summary/Basic Function:
Edlab at the Gottesman Libraries envisions, designs, and pilots knowledge projects for a fundamentally different education sector that is attuned to the emerging post-industrial, information-based, globally-connected world. EdLab is organized in small flexible multi-disciplinary teams that collaborate to develop products of distinction.
The Learning Applications/Systems Researcher will bring skills in quantitative analysis in online environments, including methods such as live experiments, web server log analysis or remote monitoring and benchmarking. This research will be focused on improving the user experience of existing and new products.
Applicants should have experience working with large-scale quantitative data sets, live experiments, or other methods that provide insight into user/learner experience. Specialization in one or more technical or domain areas is desired, such as:
- Programming skills related to data extraction or understanding how digital products are instrumented (e.g. Python, C++, Perl, Java)
- Development of online services (e.g. HTML, CSS, Java Script)
- Adaptive teaching and learning models
- Other technical specialties might include the creation of visual dashboards for understanding trends, experience in working with SQL databases, or other experience related to online experiments (e.g. A/B testing, live testing, context-sensitive survey techniques)
- Work with engineering and product teams to help define user experience goals and metrics.
- Identify quantitative markers of user experience.
- Influence design decisions by communicating findings
- Experience in a research setting that demonstrates your abilities, including a significant degree of specialization within one or more domains.
- An advanced degree or equivalent experience in Computer Science, Human-Computer Interaction, Statistics, Psychology or a related field.
- A track record demonstrating excellent command of the research questions within a given domain, and of the technical tools for the analysis of data related to those questions.
- Excellent working knowledge of statistics and the principles of experimental design.
- Both junior and senior candidates will be considered