Important: This Instruction will be updated soon according to the process of the Faculty Informatics & Data Science
Introduction
Welcome to the White-Box AI Research Group at FAU!
Are you passionate about the world of AI and machine learning, including fields such as Business Analytics, Computer Vision, Natural Language Processing, or Interpretable/Explainable Machine Learning? You always wanted to develop a web application, to give users a glimpse into the black-box? You think that we need to talk to users and design experiments to build better machine learning models? Then you’re at the right spot.
At our chair, we focus on making AI more transparent, trustworthy, and accessible. Our diverse thesis topics allow you to delve into various aspects of AI and machine learning, while our dedicated team of researchers and faculty provide guidance and support throughout your thesis journey.
If you’re ready to embark on an engaging and challenging thesis project, explore our available topics listed below and get in touch with us. We look forward to collaborating and making significant contributions to the field of interpretable machine learning and beyond!
Prerequisites
The only prerequisite we have at this point is that you’ve taken at least one of the courses offered by either Prof. Mathias Kraus or Prof. Patrick Zschech (University of Leipzig). However, while we encourage all students to take one of our courses to better understand our research areas, the prerequisite does not apply to students from the following programs:
Additionally, please make sure that you independently follow the guidelines of your study program and the examination office. This means that we will not check whether a certain number of ECTS credits has been earned or whether you have taken modules that may be required for admission to your thesis.
Topics
We offer two options for selecting a thesis topic:
If you choose a topic that involves collaboration with a company, please keep the following in mind:
We encourage you to carefully review the available topics or propose your own topic that is in the same domain or has some related touchpoints to find a research area that matches your interests and academic goals.
How to apply for a topic
Before applying, please make sure you meet all the requirements for starting a thesis (see requirements above).
To get started, you will need to send an email to your respective advisor expressing your interest in doing a thesis with them.
Include the following documents in your email:
It is important to note that incomplete applications will not be considered, so be sure to include all required documents in your email to your advisor.
If you are interested in proposing your own thesis topic, you will also need to include
To help your advisor better understand your background and determine if you’re a good fit for their research project or your proposed thesis topic, it’s a good idea to send along the materials listed below with your email. If you’re applying with your own topic, please send them to Lasse Bohlen. Before sending, make sure to proofread your email and double-check that you’ve attached all required documents.
General Procedure