CV
Master's graduate in Applied Computer Science specializing in the intersection of rigorous formal methods and modern artificial intelligence. Core research interests include automated reasoning, higher-order logics, and neuro-symbolic AI.
Contact Information
| Name | Johannes C. Schuster |
| johannes.c.schuster@proton.me | |
| Date of Birth | July 9, 2002 |
| Pronouns | he/him |
| Location | Bamberg, Germany |
Experience
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2026 - present Bamberg, Germany
Teaching Assistant for Automation of Logical Reasoning
University of Bamberg (Chair for AI Systems Engineering, Prof. Christoph Benzmüller)
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2025 - 2026 Bamberg, Germany
Teaching Assistant for Logic-Based Knowledge Representation
University of Bamberg (Chair for AI Systems Engineering, Prof. Christoph Benzmüller)
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2024 - 2025 Bamberg, Germany
Teaching Assistant for Algorithms and Data Structures
University of Bamberg (Chair of Media Informatics, Prof. Andreas Henrich)
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2023 - 2023 Bamberg, Germany
Teaching Assistant for Algorithms and Data Structures
University of Bamberg (Chair for Smart Environments, Prof. Diedrich Wolter)
Education
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2024 - present Bamberg, Germany
M.Sc.
University of Bamberg
Applied Computer Science
- Thesis title: Extensionality and Instance-based Methods in Tableau-based Higher-Order Automated Theorem Proving
- Supervised by Prof. Dr. Christoph Benzmüller (Chair for AI Systems Engineering)
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2021 - 2024 Bamberg, Germany
B.Sc.
University of Bamberg
Applied Computer Science
- Thesis title: Visual Exploration of Sentiment and Keywords from Social Media Posts
- Supervised by Prof. Dr. Fabian Beck (Chair for Information Visualization)
- Minor in Experimental Psychology (18 ECTS)
Academic Activities
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2025 - 2025 Günne, Germany
Participant
Interdisciplinary College (IK) Spring School
- Attended intensive courses and lectures focusing on the intersection of artificial intelligence, neurosciences, and cognitive science.
Extracurricular Activities
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2021 - present Bamberg, Germany
Cellist
Orchestra and Chamber Orchestra of the University of Bamberg
- Active member of the cello section, participating in weekly rehearsals and regular public symphonic concerts.
Skills
Programming Languages & Tools (Advanced): Python, PyTorch, Elixir, Isabelle/HOL
Theoretical Concepts (Master): Automated Theorem Proving, Higher-Order Logics, Machine Learning, Neuro-Symbolic AI, Functional Programming, Distributed Systems
Languages
German : Native speaker
English : Fluent (C1)