CV

Jonas Geiselhart

Education

University of Stuttgart, Stuttgart-Vaihingen
M.Sc. Artificial Intelligence and Data Science (Oct 2022 – Jul 2025)
– Graduated (GPA 2.0)
– Thesis: Investigating Challenges in Generalizing Neural Radiance Fields with Learned Scene Priors

• Focus on a broad understanding of different machine learning technologies, with a special interest for self-supervised learning and data-efficient methods. In my studies I mostly worked with visual models, due to their intuitive explainablity and annotation.

University of Stuttgart, Stuttgart-Vaihingen
B.Sc. Computer Science (Sep 2019 – Oct 2022)
– Graduated (GPA 2.1)
– Bachelor thesis: Private Function Evaluation with Oblivious RAM at the Institute for Information Security

• Focus on cryptography and common data science techniques, such as data extraction, modelling, and visualization.

Johannes-Kepler-Gymnasium, Weil der Stadt
General qualification for university entrance (Sep 2011 – Jul 2019)
– Average Grade 2.0
– Majors: Computer Science, Physics

Employment

Research Assistant — University of Stuttgart, Institute for Artificial Intelligence (Apr 2024 – Apr 2025)
– Development of self-supervised learning algorithms and transfer learning for remote sensing applications in tree crown segmentation.
– Implementation of a framework for large-scale inference in computer vision.

• A description can be seen here

Working Student — Mercedes-Benz, Sindelfingen (Research & Development Camera Components/Active Safety) (Mar 2023 – Aug 2023)
– Requirements management for camera algorithms in autonomous driving (Levels S2–S3).
– Data management and transfer to ensure quality and reliability after test drives.

Research & Student Assistant — University of Stuttgart, Institute for Parallel and Distributed Systems (Apr – Sep 2022 & 2024)
– Tutor for process and data modeling.
– Evaluation of student performance and providing feedback.

Student Assistant — University of Stuttgart, Institute for Information Security (Apr 2021 – Sep 2021)
– Conducting supplementary sessions for the Bachelor lecture series.
– Teaching and explaining fundamental computer science concepts (e.g., Git and LaTeX).

Skills

• Programming Languages: Python, C/C++, Java, Arduino, SQL
• Machine Learning Tooling: PyTorch, TensorFlow, NumPy, Pandas, scikit-learn, Numba, CuPy
• Tools & Technologies: Git, GitHub, LaTeX, OpenGL
• Web & Markup Languages: JavaScript, HTML, CSS
• Languages: German (Native), English (C1)

Awards & Voluntary Engagement

• Student Representation, University of Stuttgart (since 2023)
  Active involvement in student representation, including organizing and managing large-scale events. Led and coordinated the Campus Beach project, a student-run beach bar with a core team of 30–40 people and around 230 volunteers over six months, featuring weekly events.

• Computer Science Student Association, University of Stuttgart (since 2023)
  Supporting students with university-related issues, managing social media channels, and actively participating in faculty committees.

• Volunteer Firefighter, Weil der Stadt (since 2019)
  Active duty in emergency response and disaster relief. Additionally, serving as a youth firefighter mentor and member of the working group IT.