Human Centered Sensor Data Analysis Pipeline

See summary slide above

The project will be supervised by Gabriela Morgenshtern and Prof. Jürgen Bernard. Ideally, the project would start in February 2023 and last approximately 6 months. A group of 4 students will be working on the project.

The project language is English, therefore, you are required to have good English knowledge (written and oral).

The desired stack for the project includes Python, database management (either SQL or NoSQL), and JavaScript front-end frameworks (Vue, ReactJS, Svelte). Code versioning will be done through GitLab, and the tool will be hosted on the IFI server. Programming skills are required for this project.

Regular meetings will be held on-site and online.

We look for students that are interested in both visual analytics and algorithms.

You should have the following skills for this project:

• Profound programming skills (preferably with Python, and/or JavaScript), ideally with a full-stack background
• Basic knowledge of databases (e.g. how to write a database statement to retrieve data)
• Experience in working with version control systems (e.g. Git, we will be using GitLab)
• Interest in research

In addition, it would be nice if you have experience in one of the following areas (but it is not a must):

• UI / UX design
• Human-Computer Interaction
• REST or any other framework that supports the communication between the back end and front end
• CSS and HTML
• Front end frameworks such as ReactJS, Angular, Material Design, Bootstrap, etc.
• Back end frameworks such as Django, Flask, Spring, etc.

A good representation of our tech stack can be found in our lab's IVDA Tutorial, available on Gitlab 

Interested students should send their complete application to Prof. Jürgen Bernard 

Applications should include:

• A short, informal letter of motivation including your expectation for the project, the skills you want to learn, and your experience with data visualizations and programming (if any)
• Your CV
• Your transcript of records from your Master's and Bachelor's Degree

If you have any questions about the project, please feel free to contact  Prof. Jürgen Bernard or Gabriela Morgenshtern