Overview
Here's a concise guide for applying for your bachelor's or master's thesis.
Finding Your Topic
Explore available thesis topics listed by our lab.
Choose a topic that aligns with your interests and academic background.
Contacting the Supervisor
Once you find an interesting topic, contact the supervisor. Be sure to include:
- Your Motivation: Explain your interest in the specific topic.
- Short CV: Provide a brief overview of your academic and relevant project experience.
- Grades/Transcript: Share your academic performance.
Keep your communication professional and to the point. Good luck!
Available Thesis Topics
- Bachelor/Master Thesis: Topics in the Research Group on Modern Database Systems (Prof. Paradies)
- Bachelor Thesis: A Systematic Study of Training Stability in Deep Clustering Algorithms (Aljoud) (PDF, 67 KB)
- Bachelor Thesis: Understanding the Impact of Hyperparameters on Deep Clustering Performance (Aljoud) (PDF, 68 KB)
- Master Thesis: Searching for the Best Clustering Assignment from Training Dynamics (Aljoud) (PDF, 67 KB)
- Master's Thesis: Performance Analysis of Entropy Models for Image Compression (Pfefferkorn)
- Master's Thesis: Leveraging Sub-Trace Clustering in Predictive Process Monitoring Tasks (Rauch)
Previous Thesis Topics
- (Already Taken) Disentangled Representation Learning for ECG data (Schlegel)
- (Already Taken) Bachelor/Master Thesis: Prototype-Based Explainable Deep Clustering for Time Series (Schlegel)
- (Already Taken) Master Thesis: AutoML for Clustering in Active Learning (Jahn) (PDF, 121 KB)
- (Already Taken) Bachelor Thesis: Affine Subspace Clustering with SENet (Jahn) (PDF, 168 KB)
No topic found?
The topics of our bachelor and master theses are based on our research areas. Above, you can find a selection of concrete offers for thesis topics. If no contact is specified for your desired topic or if you have an initiative request, please email grienberger@dbs.ifi.lmu.de. Please include sufficient information about the courses you have attended and your scientific interests:
- When do you want to start your work?
- Is it a bachelor's or master's thesis?
- Is your study progress (semester or accumulated ECTS) appropriate for starting a thesis?
- Which courses offered by our department did you particularly like?
- Which research area at our chair are you interested in?
- Which programming skills do you have that are relevant for a thesis at our chair? Which relevant frameworks are you familiar with?
- Do you have any additional relevant previous knowledge (e.g., a minor subject that would be helpful for the thesis)?
- Are there any particular features or anything else you want to tell us?
- If you want to, you can also provide us with additional information, such as your average grade.
The requests will remain in our internal wiki for 4-8 weeks. If you do not receive further feedback from us within this time, we have unfortunately not found a suitable free topic to work on; we will delete your data after this period for privacy reasons.