Intern
    Data Science Chair

    Theses and Practica

    The following pages show open topics for practica, bachelor and master theses, sorted by application fields. We will be happy to provide information on further open topics upon request. Topics can be completed either in English or German.

    Open Topics

    12.11.2025 | Physics & Deep Learning, Ecosystems

    Surrogate Data and Time Series Classification to Detect Abrupt Transitions in Earth's Climate

    Abrupt transitions in earth's climate will significantly impact our lives and are projected to occur within the next few generations. In this project, we will use time series classifiers to detect these transitions. Mehr
    12.11.2025 | Physics & Deep Learning, Ecosystems

    Synthectic Data and Time Series Classification to Detect Abrupt Transitions in Earth's Climate

    Abrupt transitions in earth's climate will significantly impact our lives and are projected to occur within the next few generations. In this project, we will use time series classifiers to detect these transitions. Mehr
    21.10.2025 | Biological&Medical Data

    Multimodal Integration of scRNA-seq and ATAC-seq Data for Optimizing Latent Representations

    This thesis investigates multimodal representation learning for high-dimensional, sparse biological data. The core task is to develop a machine learning model to jointly embed scRNA-seq (gene expression) and ATAC-seq (chromatin… Mehr
    06.10.2025 | Natural Language Processing, Misc.

    Foundation Large Language Model for HTML

    Current large language models (LLMs) have been trained on large corpora of texts and can solve many text-related tasks very well. This work aims to investigate various neural architectures for creating a foundation model for HTML. Mehr
    06.10.2025 | Biological&Medical Data

    Generating Single Cell RNA-seq Data with Diffusion Models in a Semi-Unsupervised Setting

    Great progress has been made recently in the field of single-cell analysis. However, there are still some major hurdles, such as generating high-quality data. On the other hand, diffusion models are on everyone's lips, which would… Mehr
    06.10.2025 | Biological&Medical Data

    Assessing the Suitability of (Zero-Inflated) Negative Binomial Distributions for scRNA-seq Gene Expression Data

    Single-cell RNA sequencing (scRNA-seq) data is highly sparse, with many zero values that pose challenges for statistical modeling. Two suitable distributions to use are the negative binomial (NB) and the zero-inflated negative… Mehr
    06.10.2025 | Biological&Medical Data

    Using Explainable AI to Uncover Gene Relevance in scRNA-seq Data

    Single-cell RNA sequencing (scRNA-seq) provides detailed insights into gene expression at the cellular level. In this thesis, we use explainable AI (XAI) methods to investigate which genes most influence the predictions of a… Mehr
    24.06.2025 | Physics & Deep Learning, Ecosystems

    Enhancing Regional Climate Projections with Deep Learning

    Global climate models play a vital role in predicting future climate conditions, such as temperature or precipitation. However, their coarse spatial resolution (typically 50–100 km) limits their ability to capture regional climate… Mehr
    15.05.2025 | Physics & Deep Learning, Ecosystems

    Autoregressive Deep Learning Earth System Models

    Interested in AI and Climate Science? Simulating the Earth’s climate with Earth System Models (ESMs) is essential for understanding and predicting climate change — past, present, and future. These physics-based simulations are… Mehr
    08.05.2025 | Security

    LLM-based Intelligent Literature Review Assistant

    Develop a semi-automated assistant for structured literature reviews, combining LLMs, citation graph search, and spreadsheet-based curation. This project builds on an existing prototype with basic PDF parsing, citation crawling,… Mehr
    06.05.2025 | Security

    Elastic Stack Integration for Cyber Security Simulation Logging

    Adapt the existing CIDDS simulation environment so that system and network logs are forwarded directly into the Elastic Stack. Evaluate logging tools (e.g., Winlogbeat, Filebeat, Auditbeat) and configure them for simulated… Mehr
    06.05.2025 | Security

    Automating Attack Simulations with MITRE ATT&CK

    Extend an existing simulation environment to execute reproducible cyber-attack scenarios using the MITRE ATT&CK framework and procedures for example from Aomic Red Team. The focus is on automation of attack step execution and… Mehr
    06.05.2025 | Security

    XAI Benchmarking for Cyber Security

    Investigate how to derive explanation-relevant features from simulated SIEM logs by analyzing known attack scenarios. Use publicly available annotated attack logs (e.g., from securitydatasets.com) to identify explanation-relevant… Mehr
    06.05.2025 | Security

    Domain-Specific Representation-Learning for Cyber Security

    Develop and evaluate representation learning methods on structured security log data. The goal is to capture domain-specific patterns from benign and attack behavior that can later support anomaly detection and explainability in… Mehr
    30.04.2025 | Security

    Role-Based User Behavior Simulation in Enterprise IT Environments

    Develop lightweight simulation agents that mimic realistic user behavior (e.g., office staff, developers, admins) in a controlled lab setup. Agents should execute atomic tasks such as browsing, file access, or command usage, with… Mehr
    17.02.2025 | Natural Language Processing

    Exploring and Evaluating Various Domain Adaptation Techniques

    Domain adaptation involves modifying a model, originally trained on general data, to perform effectively in more specialized fields such as medicine, politics, law or instruction following. Mehr
    30.01.2025 | Security

    Agent-based Machine Learning for Offensive and Defensive Cyber Security

    Automatisierte Agenten bieten ein enormes Potenzial für offensive und defensive Cybersecurity. Von der Informationsbeschaffung über Angriffe bis hin zur Erkennung und Abwehr von Angriffen können sie eine Vielzahl komplexer… Mehr
    30.01.2025 | Security

    Knowledge-based Machine Learning for Proactive Cyber Threat Modeling and Detection Using Ontologies and Knowledge Graphs

    Die Erkennung und Modellierung von Cyberangriffspfaden erfordert eine automatisierte Analyse von Bedrohungen. Frameworks wie MITRE ATT&CK oder D3FEND bieten umfangreiche Wissensbasen, werden jedoch oft isoliert genutzt. Mehr
    22.01.2025 | Physics & Deep Learning, Ecosystems

    Spherical Embeddings or Spherical Fourier Neural Operators

    Spherical Harmonics by Inigo.quilez, licensed under CC BY-SA 3.0, via Wikimedia Commons, (https://commons.wikimedia.org/wiki/File:Spherical_Harmonics.png)
    Although our planet is a sphere and therefor all weather and climate processes operate on sphere, Deep Learning Weather Models very commonly operate on different rectangular projections of the sphere. This introduces increasingly… Mehr