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  1. Friedrich-Alexander-Universität
  2. Naturwissenschaftliche Fakultät

Department of Data Science

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Department of Data Science

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  • Agile Teams
  • Research Groups
    • Analytics & Mixed-Integer Optimization
    • Data Analytics
    • Digital Sovereignty
    • Mathematical Statistics and Data Science
    • Mathematics for Graph-based Data Science
    • Optimization under Uncertainty & Data Analysis
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Master Thesis

Master Theses

Below, you find our current topic proposals as PDF files.

If you are interested in a particular topic, please e-mail wima-abschlussarbeiten@lists.fau.de. Please refrain from writing emails to other addresses.

Your e-mail should include

  • your transcript of records
  • a letter of motivation (approximately half a page)
  • desired date at which you want to start
  • latest possible date of submission.

In your motivation letter, please state which topic proposals interest you.
If none of these proposals interest you, please state which type of thesis you desire (e.g., literature study) and which field you are interested in.

Topic proposals (with corresponding advisers)

  • Optimized Unitary Synthesis by Mixed-Integer Non-Linear Programming (Frauke Liers)
  • Phylogenetic Trees under Uncertainty (Kevin-Martin Aigner)
  • Place and Route Optimization for Chip Design (Martina Kuchlbauer, Frauke Liers)

Furthermore, students are welcome to contact wima-abschlussarbeiten@lists.fau.de to jointly define a thesis topic in one of the following areas:

  • Optimization under uncertainty (Frauke Liers)
  • Integration of data analysis with optimization (Frauke Liers)

 

A Selection of Previous Works

  • Optimized Qubit Routing for Commuting Gates
    • Adviser: Frauke Liers, Fritz Wagner
  • Mixed-Integer Programming with Disjunctive Box Constraints
    • Adviser: Kevin-Martin Aigner, Fauke Liers
  • Image reconstruction with mathematical optimization and prior knowledge in elelctron tomography
    • Adviser: Jan Rolfes, Frauke Liers
  • Robust optimization for transient gas transport problems
    • Adviser: Martina Kuchlbauer, Frauke Liers
  • Robust Dynamic Flows: Study of Theoretical and Computational Aspects
    • Adviser: Christian Biefel, Frauke Liers
Department of Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg

Cauerstr. 11
91058 Erlangen
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