• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
  • FAUTo the central FAU website
  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department Artificial Intelligence in Biomedical Engineering
Suche öffnen
  • Campo
  • StudOn
  • FAUdir
  • Jobs
  • Map
  • Help
  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department Artificial Intelligence in Biomedical Engineering

Navigation Navigation close
  • People
  • Education
    • Modules
    Portal Education
  • Research
    • Publications
    • Open Projects
    • Open Positions
    Portal Research
  • Outreach

Our mission is to reduce health inequalities, democratize rare healthcare expertise, and to develop novel, computationally efficient techniques for the analysis of health data like medical imaging.

In page navigation: Research
  • Open Positions
  • Open Projects
  • Publications

Open Positions

We are constantly seeking motivated individuals who are interested in joining us for an MSc, BSc, or guided research/interdisciplinary project. If you share our passion for research and would like to contribute your skills, please email us at bernhard.kainz@fau.de. Don’t forget to attach your motivation letter, academic transcripts, and CV. We welcome your application and look forward to hearing from you!

Open Research Topics for Students

Legend:

[B] = Topic for Bachelor’s Thesis
[M] = Topic for Master’s Thesis
[P] = Topic for Project (e.g. Computer Science “Master Project”)
[R] = Topic for Research Lab
[HiWi] = Student Assistant (HiWi) position (paid)

ID Type Topic Supervisor Status
1 B

Spotting the Domain Gap from Diffusion Model Generated MRI Scans to the Real World

Dombrowski running
2 M Diffusion Models for Breast Cancer Immunohistochemical Image Generation Dombrowski
3 P Exploration and Implementation of Kaapana applications for AI-based Workflows Müller running
4 P Exploration and Implementation of Kubeflow applications for ML Workflows on Kubernetes Müller open
5 M Implicit Neural Representations for Probabilistic Image Generation
Müller running
6 P/M Metric Learning Approaches for Video Frame Selection Erick open

Application Form

  •  




If you have an (additional) other idea / proposal, please tell us more about it here

Please write approx. one page with ideas about how to address the given problem and set this into context of current scientific literature and set the pdf and references in LaTeX. This file is mandatory for all applications but does not set your project in stone. We just want to know if you can research a topic in a scientific way.




Friedrich-Alexander-Universität
Erlangen-Nürnberg

Schlossplatz 4
91054 Erlangen
  • Legal notice
  • Privacy
  • Accessibility
  • Facebook
  • RSS Feed
  • Twitter
  • Xing
Up