Latest News

Here we will inform you about the latest research topics, upcoming events and other news of the department.

Latest News

 

Press Relese / 07.02.2024

Saving Energy With Artificial Intelligence

Our experts from three departments and divisions will be presenting their work at the leading trade fair E-world energy & water and demonstrating with innovative projects how mathematical models can contribute to the energy transition and the achievement of climate targets.

 

Press Release / 04.12.2023

Fraunhofer ITWM Conducts Study on the Costs of Pension Insurance Products

The study analyzes how high the effective costs of pension products are under realistic cost parameters. It shows that the costs resulting from the specifications of the Federal Ministry of Finance significantly exceed the realistic costs.

 

Interview / 28.09.2023

Tania Jacob Receives Sparkassen Stiftung Prize

With an award for her master thesis on anomaly detection in time series, the foundation recognized Tania Jacob for her outstanding performance.

In the interview, she explains how her results could also be used in power plants and on the stock market and tells more about her work at Fraunhofer ITWM.

 

Interview / 14.9.2023

Solvency Capital Calculation with Artificial Intelligence: Less Data, More Valid Forecasts

In this interview, Prof. Dr. Ralf Korn talks about solvency capital calculation with Artificial Intelligence. The mathematics behind it is highly complex. As he nicely puts it: »Because there is not only the insurance, but also the world!«

 

Podcast »Nachgeforscht« / 16.08.2023

The Tade with Electricity

Why is the price of electricity subject to such fluctuations? Can companies save by buying electricity when there is a high supply due to renewable energies? What are the options for storing large amounts of electricity? How can flexibility in purchasing electricity and energy help companies save money? In the latest episode of the German Fraunhofer InnoVisions podcast »Nachgeforscht«, our expert Ria Grindel answers about all these questions.

 

Press Release / 30.06.2023

Solving Fraud in the Care Sector More Quickly

In the project »PflegeForensik«, our researchers at the Fraunhofer ITWM in Kaiserslautern, together with the Dresden Public Prosecutor's Office and the Economic Crimes Unit of the Leipzig Police Department, are using AI to take targeted action against billing fraud in the care sector. The work was funded by the Federal Ministry of Education and Research (BMBF).

Our EP-KI Team Blog

Here, the EP-KI team blogs. This stands for decision support for business management processes with the help of new AI methods. Our junior research group »EP-KI: Decision Support for Business Processes using New AI Methods« works at the interface of business administration and artificial intelligence (AI). Funded by the German Federal Ministry of Education and Research, the junior research group focuses its research on future-oriented issues and their solution by user-friendly methods.

Our AI Group team of scientists has set itself the goal of supporting current developments in digitization in public administration and SMEs. In the blog, we regularly report on our work, activities and comment on current developments.

Events

 

Nuremberg / Conference / 09.04. – 11.04.202

Embedded world 2024

The embedded world Exhibition and Conference is the industry meeting place for the embedded community, leading experts and industry associations.

A team from the division »High Performance Computing«, the department »Financial Mathematics« and the University of Kaiserslautern-Landau (RPTU) will be at the Fraunhofer-Gesellschaft's joint booth to present our »Neural Architecture Search for Embedded Applications« (NASE) service.

 

Frankfurt / Conference / 09.04. – 10.04.2024

Risk Management and Capital Investment in Insurance 2024

The conference »Risk Management and Capital Investment in Insurance 2024« deals with insurance challenges. Marcus Willems and Mark-Oliver Wolf emphasize Solvency II and present new AI prediction methods.

 

Essen / Fair/ 20.02. – 22.02.2024

E-World 2024

The E-world energy and water is a meeting place for the european energy industry.

Teams from the departments »System Analysis, Prognosis and Control« and »Financial Mathematics«, as well as from the division »High Performance Computing« present their research in the energy sector.

Recurring Workshop

Federated learning makes it possible to train your own machine learning models. Our recurring workshop »Federated Learning: Decentralized Machine Learning that Ensures Data Protection« consists of several presentations on different aspects of federated learning followed by discussion rounds.

 

Current Research Topics

Our doctoral students and post-docs research and researched current topics in financial mathematics and data science.

Vacancies

Scientific Employees

You are interested in solutions for data-driven problems and the implementation in software is your topic? Do you have new ideas that you would like to pursue proactively in research projects?

The department »FINANCIAL MATHEMATICS« of the Fraunhofer Institute for Industrial Mathematics in Kaiserslautern can you offer an exciting position as a

  • Research Associate »Financial Mathematics«

 

Scientific Assistants / Interns

We are always looking for scientific assistants an interns as support in projects from the industry and research. Besides your interest on financial mathematical context, basic knowledge in a common programing language is requested. The remuneration is to be agreed upon.

 

Topics for Master Thesis

Currently, master's theses with the following topics are offered within the focus on financial mathematics for the energy industry:
 

  • Instance ranking prediction and aggregation in fraud detection
  • Opportunity and risk analysis of the pension phase in retirement provision products
  • Option valuation with quantum computers

Do you have your own idea for a thesis? This is also possible with us. Present us your proposed topic in a speculative application so that we can assess whether it reflects our core competencies.