Internship Proposals in Computer Science

Interested students can apply to the following internship opportunities. The application needs to be submitted by email, as outlined in each proposal document.

• Internship 1: Towards Reliable Activation Functions: Polynomial Approximations and Low-Precision Arithmetic
• Internship 2: Efficient Polynomial Approximation for Kolmogorov-Arnold Networks
• Internship 3: Interdisciplinary Research in Artifical Intelligence on Alaskan Native Archival Collections
• Internship 4: Design and Implementation of an Arithmetic for the "Law of Large Numbers"
• Internship 5: Compilation and Automatic Transformation of Programs via Specialized Numerical Libraries
• Internship 6: Federated Learning
• Internship 7: Kolmogorov-Arnold Networks and Multilayer Perceptrons
• Internship 8: Mixed-Format Quantification of Deep Neural Networks: Fixed-Point and Floating-Point Arithmetic through Entropy Analysis

Copyright (C) 2026 Christoph Lauter, Olga Lauter, Martine Ceberio, Hanane Benmaghnia and others