HTW Berlin is looking for a student to join a project about innovative teaching starting as soon as possible at 40 hours per month. 

Aim of the project is to build web-based adaptive, interactive learning dashboards to support teaching statistics and data mining. The successful candidate will work with a research assistant and will be supervised by Prof. Dr. Andre Beinrucker (Statistics in Economics) and Prof. Dr. Martin Spott (Data Science in Business Computing).

Complex statistical concepts will be made more accessible with the use of interactive, visual simulations. These support students in applying research-based learning techniques, e.g. exploring statistical models by interacting with them or with underlying data in an application and observing the changes.

• UI/UX design of the web application(s)
• Participation in creating the learning material (also using storytelling techniques)
• Implementation of the UI via HTML and CSS

• Experience in UI/UX design
• Experience with graphics design software
• Experience with HTML and CSS
• Experience in didactics and storytelling is advantageous

• Work on innovative and impactful tasks to foster innovative teaching
• Opportunity (and obligation) to broaden your knowledge and skills “on the job” by self-studying, we will share our learnings in the project team
• Possibility to partly work from home at self-determined working hours

The position will be remunerated based on the students’ pay tariff in Berlin (TV-Stud III Berlin).