Here we will inform you about the latest research topics, upcoming events and other news of the department.
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.
For our focus in financial mathematics for the energy industry, there are master thesis of the following topics available:
Do you have an own idea for a thesis? Also, this is a welcomed alternative. In this case, please submit your proposed topic within an unsolicited application, so that we can assess whether the proposed topic suits in our core competences.
Four new employees were hired to meet the growing demands of our projekt work. We could expand our expertise in the field of Data Science, especially Big Data and Machine Learning, by hiring M.Sc. Simon Schnürch and Dr. Robert Knobloch. Furthermore, our competences in the field of Power Energy were strengthened by M.Sc. Ria Grindel. An additional support in the field of classical Financial Mathematics is M.Sc. Philipp Mahler.
After two successful years as scientific employees at our department Franziska Diez and Prilly Oktoviany start their time as PhD students.
Two staff members, Ria Grindel and Dr. Elisabeth Leoff, were accepted into the Fraunhofer-Gesellschaft TALENTA program. Both appreciate this support at the start of the careers and to further their career planning in applied research.
Ria Grindel and Elisabeth Leoff were accepted into the Fraunhofer-Gesellschaft TALENTA program.
Our proposals for major research projects for 2018 in the priority areas of data science and the energy economy were successful. We plan to develop new methods for forecasting time series and to introduce our expertise in the field of machine learning in "ML4P" (Machine Learning for Production), a Fraunhofer showcase project. The BMBF sponsored "ENets" project (Stochastic modeling and control of the power grids of the future) combines innovative models for the energy market with the modeling of electrical and gas grids.
Fraunhofer Institute for Industrial Mathematics ITWM