If you are interested in a particular topic for a Bachelor or Master thesis, please either contact the corresponding person from the list below. If you are interested in writing a thesis on another (non-listed) topic within the scope of our group or you want to participate in guided research or an interdisciplinary project, write an email to Stefan Waldherr. Please state your skills and interests and also attach a current CV and a recent grade report. First contact should be established at least one month before registration of the project in order to allow for sufficient time to settle for a suitable topic.
| Title | Focus | Contact |
|---|---|---|
| Optimization and Market Design (BSc or MSc thesis) |
various topics | |
| Computational Social Choice and Algorithmic Game Theory | various topics (having attended one of the courses "Computational Social Choice" or "Algorithmic Game Theory" or seminars "Multiagent Systems" or "Economics & Computation" is recommended) | |
| Dynamic and online Mechanisms | Analysis and implementation of appropriate dynamic and online mechanism to solve an online display ad setting. Here, bidders bid on items in multiple, sequentially performed, second price auctions. Also, bidders are limited by budget constraints. | Paul Sutterer |
| Learning in sequential auctions | Implementation (in Python) and analysis of a learning agent using neural networks (potentially recurrent neural networks). The agent participates in an online display ad setting in which items are auctioned sequentially and the agent is bound to a predefined budget. | Paul Sutterer |
| Combinatorial Markets | Various Topics, either theoretical or applied | Dr. Stefan Waldherr |
| OR, Scheduling, Matching | Various topics (required: Plebis/OR, good understanding of discrete maths and combinatorial optimization) | Dr. Stefan Waldherr |
| Equilibrium Learning in Auctions and Markets | vorious topics (required: previous experience with at least one of the following: nonlinear optimization, algorithmic game theory, neural networks, reinforcement learning) | Stefan Heidekrüger |
Templates and Information for Creating Thesises:
General Information for Theses