Undergraduate projects

Undergraduate research projects at the MOSAIC Group

The MOSAIC Group constantly offers a wealth of undergraduate research projects for Semester, Bachelor, Master, and Diploma theses work. Please note that by law these projects are unpaid. For students coming from abroad, we may however be able to cover travel and accommodation expenses, conditional on the funding situation.


If you are interested in doing your undergraduate thesis work with us, please send an e-mail to Ivo Sbalzarini. I'm sure that we can find something that suits you! In addition, the following projects are currently up for grabs:


Pre-defined project suggestions

The following is a list of projects which we already know we want to do and you are free to pick from. In addition, we are also open to hear your own wishes and ideas. We would be happy to draft a project together with you that perfectly fits your needs. Just contact us!

Master/Diploma Thesis: Automatic Parameter Learning for BioImage Analysis

Image-analysis algorithms, such as those used for segmentation and tracking in microscopy images, have a number of user-set parameters. The present project will explore the use of black-box Design Centering in order to automatically learn or tune parameters from previous user interactions. This will be implemented in the popular MOSAICsuite for BioImage Analysis, which is used by thousands of labs around the world.

Master/Diploma Thesis: Pose Estimation of Articulated Objects in Microscopy Images Using Discriminative Methods

In collaboration with the Computer Vision Lab Dresden, we offer a Master or Diploma thesis concerned with estimating the pose (position, orientation, and articulation) of objects in fluorescence microscopy images using discriminative methods from Machine Learning.

>> For more information, please see the call here...

Master/Diploma Thesis: Tracking of Biological Objects in Microscopy Using an Adaptive Motion Model

In collaboration with the Computer Vision Lab Dresden, we offer a Master or Diploma thesis concerned with learning motion models from user input in order to make tracking of moving objects in biology more reliable and robust.

>> For more information, please see the call here...