INTERNSHIP DETAILS

Master's thesis »Financial Mathematics«

CompanyFraunhofer-Gesellschaft
LocationKaiserslautern
Work ModeOn Site
PostedApril 26, 2026
Internship Information
Core Responsibilities
The goal of this master thesis is to investigate state-of-the-art Machine Learning models and methodologies for the analysis of Suspicious Activity Reports (GVMs) to support investigators in Financial Intelligence Units and law enforcement. Possible research directions include synthetic data, evaluation frameworks, Graph Neural Networks for pattern detection, and Explainable AI for investigator support.
Internship Type
full time
Company Size
285
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Fraunhofer IGD is the international leading institute for applied research in visual computing. Visual computing is image- and model-based information technology and includes computer graphics and computer vision, as well as virtual and augmented reality. In simple terms, the Fraunhofer researchers in Darmstadt, Rostock, and Kiel are turning information into images and extracting information from images. In cooperation with its partners, technical solutions and market-relevant products are created. Prototypes and integrated solutions are developed in accordance with customized requirements. In doing so, Fraunhofer IGD places users at the forefront, providing them with technical solutions to facilitate computer work and make it more efficient. Owing to its numerous innovations, Fraunhofer IGD raises man-machine interaction to a new level. Man is able to work in a more result-oriented and effective way by means of the computer and visual computing developments.
About the Role

Financial Intelligence Units (FIUs) and law enforcement authorities process large volumes of Suspicious Activity Reports (Geldwäscheverdachtsmeldungen - GVMs) containing unstructured text and structured information. Manual analysis is time-consuming and makes it difficult to identify relevant patterns and connections. The I-WASH project aims to support investigators by applying modern ML methods to accelerate analysis, improve consistency, and reveal relevant structures in GVM data.

Find out more about the Fraunhofer ITWM 

 

Be part of change

The goal of this master thesis is to investigate state-of-the-art ML models and methodologies for the analysis of GVMs.
Possible Research Directions:

  • Synthetic Data, Evaluation Frameworks and Benchmarks for AML
  • LLMs for AML Case Understanding
  • Graph Neural Networks for AML Pattern Detection
  • Explainable AI for Investigator Support

 

What you contribute

  • Strong programming skills (Python)
  • Solid foundations in machine learning
  • Interest in NLP and LLMs, and/or graph-based methods
  • Willingness to implement new methods and prepare results for publications
  • Completed bachelor's degree

 

What we offer

  • A varied and exciting role at the interface between research and application
  • Opportunities to contribute your own ideas and work independently
  • Close mentoring and constructive feedback
  • A modern, dynamic, and exciting work environment with short decision-making processes and a flat hierarchy
  • The latest technology in an exciting research environment

 

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

 

If you have any technical questions, please contact: tania.jacob@itwm.fraunhofer.de
For questions about applications and the application process: isabelle.dieckhoff@itwm.fraunhofer.de

Fraunhofer Institute for Industrial Mathematics ITWM 

www.itwm.fraunhofer.de 

 

Requisition Number: 83398                

 

Key Skills
PythonMachine LearningNLPLLMsGraph Neural NetworksExplainable AI
Categories
Science & ResearchData & AnalyticsFinance & AccountingSoftware