Fraunhofer Institute for Industrial Mathematics ITWM
Fraunhofer Institute for Industrial Mathematics ITWM

Latest News

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

Latest News

 

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Deep Learning Seminar / 21.1.2021

A Generalised Linear Model Framework

On January 21, 2021, Robert Sicks will present »A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families« in the Deep Learning Seminar.

The regular seminar series is held every two weeks on thursdays digitally and in English with different focus.

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Deep Learning Seminar / 3.12.2020

Machine Learning in Financial Mathematics

On December 03, 2020 Prilly Oktoviany and Simon Schnürch will present in the Deep Learning Seminar on  »Machine Learning in Financial Mathematics«.

The regular seminar series takes place every two weeks on Thursdays in German and English with different focuses.

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Press Release / 28.10.2020

Quantum Computing for the Energy Economics

New BMWi project at Fraunhofer ITWM: in the joint project »EnerQuant: Fundamental modeling in energy economics with quantum algorithms«, the advantages of quantum computing are now to be used for an optimization problem in energy economics.

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Project Website

Decision Support for Health Authorities

In the Fraunhofer project "CorASIV", everything revolves around the »support of health authorities in corona response through analysis, simulation and visualization«. We contribute our mathematical expertise especially to the development of an app.

 

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Current Research Topics

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

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Seminar / 11.3.2021

ML in KL Lightning Talks

You like science, ML and virtual coffee chats? This is for you!

The »ML in KL Lightning Talks« are a local initiative that offers new networking opportunities for researchers of all institutions in KL.

Topic on March: »Experiences and New Approaches in the Training of Neural Networks«

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 offers you an exciting position as a

»Scientific Employee Optimization/ Quantum Computing«.

 

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:
 

  • 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.

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Press Release / 28.9.2020

Using Statistics and AI to Combat Billing Fraud in the Healthcare Sector

Billing fraud committed by contract physicians or outpatient nursing services has been the focus of investigations and media discussion in the healthcare sector for years. The Fraunhofer ITWM supports the efficient clarification with new methods.

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Article / 3.7.2020

How We Welcome and Support Women’s Career

We offer our employees helpful support in reconciling family and career, including a day-care centre directly at the institute, a parent-child office in case of care shortages and flexible working hours. In addition to scientific excellence and development opportunities, these aspects also play a role in the proportion of women at the Institute. Our department of Financial Mathematics shines with a female share of 50 percent.

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Annual Report 2018/19

Take a look at our latest annual report. Find current highlights and projects of our department.