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<h1>For Students</h1>
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<li><span data-uk-icon="chevron-right"></span> <a href="{{ '/for-students/completed-theses.html' | relative_url }}">Completed Theses</a></li>
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<li><span data-uk-icon="chevron-down"></span> <a href="#open-thesis-topics">Open Thesis Topics</a></li>
<li><span data-uk-icon="chevron-down"></span> <a href="#open-student-assistant-topics">Open Student Assistant Topics</a></li>
<li><span data-uk-icon="chevron-down"></span> <a href="#ongoing-theses">Ongoing Theses</a></li>
<li><span data-uk-icon="chevron-down"></span> <a href="#resources">Resources for Students</a></li>
<li><span data-uk-icon="chevron-down"></span> <a href="#vacancies">Vacancies</a></li>
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<h2><a id="open-thesis-topics"></a>Open Thesis Topics</h2>
<p>
Students who are eager to develop their skills by doing a research-oriented thesis in our group should mail their interests to <a href="mailto:webis@listserv.uni-weimar.de?subject=Application%20for%20a%20Thesis%20at%20Webis">webis@listserv.uni-weimar.de</a>. Suitable topic candidates are shown in the following list. Your own suggestions for topics are also welcome, for which you can draw inspiration from our recent <a href="{{ '/publications.html' | relative_url }}">publications</a>.
</p>
<div class="webis-list uk-margin-remove-top">
<ul> <!-- sorted alphabetically by title -->
    <!--<li>We currently have no open topics. You can always let us know if you're interested.</li> -->
    <!--<li data-mentor="christopher schröder">Active Learning for Text Classification</li>-->
    <!--<li data-mentor="martin potthast">Adversarial Learning of Writing Style Representations</li> [needs additional supervisor]--> 
    <!--<li data-mentor="martin potthast, norbert siegmund, benno stein">Argumentation in Software Engineering</li>--> 
    <!--<li data-mentor="janek bevendorff, magdalena wolska">Authorship Attribution based on Supra-segmental Features</li>-->  
    <!--<li data-mentor="roxanne el baff, khalid al-khatib">Automatic Generation of Persuasive Texts</li>-->  
    <!--<li data-mentor="maik fröbe">Automatic Updates of Relevance Labels for Web Search</li> --> 
    <!--<li data-mentor="sascha bondarenko">Axiomatic Argumentative Web Scale Document Re-ranking</li>--> 
    <!--<li data-mentor="maik fröbe">Building and Operating a Search Engine for Free With Github Pages as an Enabler for a Diverse Search Ecosystem</li>-->
    <!--<li data-mentor="maik fröbe">Children as Searchers: Improving Web Search for Children</li>-->
    <!--<li data-mentor="wei-fan chen, khalid al-khatib">Detecting Bias in Media</li>--> 
    <!--<li data-mentor="christian kahmann">Crawling and Extraction of insurance websites and subsequent multilabel classification of available insurance products</li> -->
    <!--<li data-mentor="maik fröbe">Does Training Data from different Corpora benefit Learning-to-Rank?</li>-->
    <!--<li data-mentor="matthias hagen, sascha bondarenko">Entity Linking for Comparative Questions</li>--> 
    <!--<li data-mentor="khalid al-khatib">Exploiting Argumentation Knowledge Graphs for Argument Generation</li> [at full load] -->  
    <!-- li data-mentor="christopher schröder">Extreme Multi-Label Classification of German Book Titles</li -->
    <!--<li data-mentor="khalid al-khatib">Harvesting the Web for Building Evidence-based Knowledge Graphs</li>--> 
    <!--<li data-mentor="khalid al-khatib">Identifying Successful Debating Strategies in Social Media</li>-->
    <!--<li data-mentor="benno stein, martin potthast">Information Theory and Authorship</li>--> 
    <!--<li data-mentor="maik fröbe, harry scells, christopher akiki">Measuring the Correlation of the Effectivenes of Large Language Models and Retrievability</li>-->
    <!--<li data-mentor="maik fröbe">Multi-Task Learning with IR Axioms</li>-->
    <!--<li data-mentor="nailia mirzakhmedova">Persuasive Argument Generation using Generative Adversarial Networks</li> -->
    <!--<li data-mentor="martin potthast, benno stein, matthias hagen, janek bevendorff">Paraphrasing Operations for Heuristic Author Obfuscation</li>-->
    <!--<li data-mentor="maik fröbe">Query Obfuscation for Dense Retrieval Models</li>-->
    <!--<li data-mentor="matthias hagen, sebastian günther">Simulating Search Behavior</li>--> 
    <!--<li data-mentor="khalid al-khatib, shahbaz syed">Summarizing Online Discussions</li> [at full load] --> 
    <!--<li data-mentor="khalid al-khatib>Text Mining Methods for Intelligent Writing Assistance</li> [at full load] -->    
    <!--<li data-mentor="nailia mirzakhmedova">Unraveling Argumentation Strategies through XAI Techniques</li> -->
    <!--<li data-mentor="maik fröbe">A Search Engine without a Server: Evaluating different Efficiency/Effectiveness Trade-Offs</li>-->
    <!-- <li data-mentor="klara gutekunst">Authorship Analysis in Document-n-gram Concept Lattices</li> -->
    <li data-mentor="klara gutekunst">Forensic Linguist Agent</li>
    <li data-mentor="klara gutekunst">Consistency and Distinctiveness of Idiolects</li>
    <li data-mentor="tim hagen">Comparing Traditional, Deep Learning, and LLM Causality Extraction Models</li>
    <li data-mentor="maik fröbe">Efficient Neural Retrieval with Splade-Doc on a Raspberry Pi</li>
    <li data-mentor="tim hagen">Extracting Causal Knowledge by Reproducing k-CNN</li>
    <!--<li data-mentor="maik fröbe">Human Values in Retrieval Augmented Generation Responses</li>-->
    <li data-mentor="Jan Heinrich Merker">Large-scale Rank Fusion Evaluation</li>
    <li data-mentor="marcel gohsen">The Critical Friend Paradigm in Watermarked Conversations with a Search-As-Learning Chatbot</li>
    <li data-mentor="matti wiegmann">Revisiting Consistency in Reasoning-based Classification</li>
    <li data-mentor="matti wiegmann">RAG with Derivative Text Formats</li>
    <!--<li data-mentor="maik fröbe">How Do Large Language Models Help to Refind Information?</li>-->
</ul>
</div>

    
<h2><a id="open-student-assistant-topics"></a>Open Student Assistant Topics</h2>
<p>
Students who want to improve their skills and work with us can apply for a position as a student assistant at <a href="mailto:webis@listserv.uni-weimar.de?subject=Application%20for%20a%20Thesis%20at%20Webis">webis@listserv.uni-weimar.de</a>. 
We are currently looking for assistants to work on the following topics:     
</p>
<div class="webis-list uk-margin-remove-top">
<ul> <!-- sorted alphabetically by title -->
    <li>We currently have no open topics. You can always let us know if you're interested.</li>
<!--     <li data-mentor="matti wiegmann">Analyzing and Tuning Chat Bots for Emotional Support Tasks</li> -->
</ul>
</div>
    
<div class="webis-list">
<h2><a id="ongoing-theses"></a>Ongoing Theses</h2>
<ul>
    <li>Jena
        <ul>
            <!-- add new thesis here -->
            <li>Evaluating Pre-Training Techniques for Single-Vector Encoder Models (supervised by Ferdinand Schlatt)</li>
            <li>Testing the Limits of Multi-Vector Bi-Encoder Models (supervised by Ferdinand Schlatt)</li>
            <li>Dense Boolean Retrieval for Systematic Reviews (supervised by Ferdinand Schlatt)</li>
            <li>Improving Learned Lexical Retrieval Models by Removing Lexical Dependencies (supervised by Ferdinand Schlatt)</li>
            <li>Reducing the Size of Dense Retrieval Indexes by Removing Unimportant Terms (supervised by Ferdinand Schlatt)</li>
            <li>Construction of Fine-Grained Retrieval Pipelines With PyTerrier (supervised by Maik Fröbe and Jan Heinrich Merker)</li>
        </ul>
    </li>
    <li>Kassel
        <ul>
            <!-- add new thesis here -->
            <li>Mapping Abstract Concepts to Specific Instantiations (supervised by Niklas Deckers)</li>
            <li>A* for Causal Inference (supervised by Tim Hagen)</li>
            <li>Discrete Directions in the CLIP Embedding Space (supervised by Niklas Deckers)</li>
            <li>Authorship Analysis in Document-n-gram Concept Lattices (supervised by Klara Gutekunst)</li>
        </ul>
    </li>
    <li>Leipzig
        <ul> 
            <!-- add new thesis here -->
            <li>Lightweight Passage Re-ranking Using Embeddings from Pre-trained Language Models (supervised by Ferdinand Schlatt and Harry Scells)</li>
            <li>Logical Features of Neural Networks (supervised by Maximilian Heinrich)</li>
            <li>Incorporating Knowledge Graph Embeddings in Large Language Models (supervised by Ferdinand Schlatt)</li>
            <li>Normdaten-Disambiguierung und Reconciliation auf Korpusdaten (supervised by Erik Körner and Felix Helfer)</li>
            <li>Statistical Bootstrap Tests with Redundant Data (supervised by Maik Fröbe)</li>
            <li>Mining Trigger Warnings from the Web and Social Media (supervised by Matti Wiegmann)</li>
            <li>Web Search Archeology in the Archive Query Log (supervised by Jan Heinrich Merker, Simon Ruth, and Matti Wiegmann)</li>
            <li>AQLQA: Mining Direct Answers from Dozens of Search Engines over 25 Years (supervised by Jan Heinrich Merker, Simon Ruth and Maik Fröbe)</li>
        </ul>
    </li>
    <li>Weimar
        <ul>
            <!-- add new thesis here -->
            <li>A Study to Investigate Suspicion, Trust and Identity Detection in Conversational AI (supervised by Marcel Gohsen)</li>
            <li>User Simulation in Persuasive Dialogs (supervised by Marcel Gohsen and Nailia Mirzakhmedova)</li>
            <li>Search Session Detection in the Archive Query Log (supervised by Marcel Gohsen and Jan Heinrich Merker)</li>
            <li>Building an Image Generator for Arguments (supervised by Maximilian Heinrich)</li>
            <li>Information Extraction from Scientific PDFs (supervised by Tim Gollub)</li>
            <li>Is this sound? Mining and Evaluation for Argumentative Fallacies (supervised by Maximilian Heinrich)</li>
            <li>Adding Contextual Awareness to LLM-based Story Generation (supervised by Tim Gollub)</li>
            <li>Efficient and Effective Neural Translation Language Model for Search (supervised by Harry Scells)</li>
            <li>Rating the Degree of Search Engine Optimization of Websites (supervised by Janek Bevendorff)</li>
            <li>Re-ranking with Health-related Retrieval Axioms (supervised by Jan Heinrich Merker and Maximilian Heinrich)</li>
            <li>What is the argument of the day? Systematic Mining of Arguments (supervised by Maximilian Heinrich)</li>
            <li>Detecting AI-Authorship under Obfuscation (supervised by Matti Wiegmann)</li>
         </ul>
     </li>
</ul>
</div>



<h2><a id="resources"></a>Resources for Students</h2>
<ul>
    <li><a href="{{ '/for-students/completed-theses.html' | relative_url }}">Completed Theses</a></li>
    <li><a href="{{ '/facilities.html?q=thesis' | relative_url }}">Thesis knowledge base</a></li>
    <li><a href="{{ '/facilities.html' | relative_url }}">General Webis resources</a></li>
    <li><a href="{{ '/lecturenotes.html?q=generic#lecturenotes-generic' | relative_url }}">Lecturenotes on scientific working</a></li>
</ul>
    
    

<h2><a id="vacancies"></a>Vacancies</h2>

<p>
Dear prospective PhD student, unsolicited applications to the Webis group (webis.de) are welcome. However, we cannot promise that open positions are available at the time of your application.
<p>
The Webis Group is a tightly cooperating research network, formed by computer science chairs at the universities of
<a href="https://groningen.webis.de/">Groningen</a>,
<a href="https://hannover.webis.de/">Hannover</a>,
<a href="https://jena.webis.de/">Jena</a>,
<a href="https://kassel.webis.de/">Kassel</a>,
<a href="https://leipzig.webis.de/">Leipzig</a>, and
<a href="https://weimar.webis.de/">Weimar</a>.
Our mission is to tackle challenges of the information society by conducting basic and applied research with the goal of prototyping and evaluating future information systems. We are an experienced research group where team spirit and active collaboration has top priority. We are looking for open-minded graduates and PhDs who want to develop both as a researcher and as a person. The working language of our group is English; fluency in German is not required.
</p>
<p>
Interested students should have finished either a master or a PhD in computer science, mathematics, or a related field with excellent or very good grades. A solid background in mathematics and statistics is expected&mdash;as well as very good programming skills.
</p>
<p>

Benno Stein<br>
Bauhaus-Universität Weimar<br>
On behalf of the Webis group
</p>
<p>
Email: webis@listserv.uni-weimar.de<br>
Web: webis.de
</p>
    

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