Vacancies & Student Research Projects
Are you interested in our research and would like to do an undergraduate research project, bachelor, master or diploma thesis? Or are you looking for a PhD position in our department?
Our young, highly motivated and creative team is always open for new talent. We have changing funds and open positions and interesting thesis topics. Please email to Mrs. Abdel Bary (ricarda.abdel-bary(at)nct-dresden.de) with your application and include the following in a single PDF file:
- A motivational letter describing why you want to join our group. Also mention if you are interested in a specific project and how your experience/education relates to this project
- A short CV, including an overview of your programming skills
- A recent overview of grades from your studies, include final grades if available
- A copy of your school graduation certificate
- Letters of references (if any)
You can find some of the current positions and thesis topics by following the link below. For more possible positions and thesis topics, you can always send an initiative application to Mrs. Abdel Bary (ricarda.abdel-bary(at)nct-dresden.de).
Positions
Topics
Adapting Foundation Models for Surgical Outcome Prediction
Foundation models, such as BiomedParse, have demonstrated exceptional generalization capabilities across various tasks using multimodal healthcare data. In this project, we want to finetune such foundation models for predicting surgical outcomes with limited available data. We alo want to investigate techniques for fusing domain knowledge during the finetuning process, and measure the impact of domain knowledge on model performance and interpretability. (contact)
Investigating Tracking and Optical Flow for Scene Segmentation in Videos
Develop and evaluate tracking methods or optical flow techniques to propagate full-scene segmentations from a single video frame onto subsequent frames.
The project aims to generate additional annotations by leveraging temporal consistency in video data, reducing the need for extensive manual labeling.
The topic includes challenges such as handling occlusions, dynamic object movements, and ensuring accurate alignment across frames. This work will
contribute to improving annotation efficiency in large-scale video datasets. (contact)