Latest News

News

 

Short News / 28.9.2022

Bitkom Working Group High Performance and Quantum Computing

Our colleague Dr. Valeria Bartsch was elected to the board of Bitkom's High Performance and Quantum Computing working group. »Our goal is also to inform small companies about the importance of high-performance computing and to facilitate access,« says our expert. Because HPC is now essential for competitiveness. 

 

InnoVisions / 28.6.2022

Quantum Computing for the Big Picture

Can quantum computers calculate Germany's entire energy system? Determining the exact amount of energy needed at that moment is almost an impossibility, especially for conventional computers. But perhaps it can be done with quantum computers? The project EnerQuant wants to clarify what opportunities opens up here. [Article only available in German]

 

Press Release / 9.6.2022

Using Energy Efficiently With Math

The topic of energy is more present than ever before: Both industry and private households are facing new challenges.

Our Experts have been developing innovative methods and models for the energy sector for several years. From June 21 to 23, the researchers will present the most exciting energy projects at the leading trade fair E-world.

 

Whitepaper / 3.6.2022

Federated Learning: Whitepaper published

Federated learning is a novel, decentralized AI method where only the locally learned models are shared instead of the data. Coordinating the participating devices is a complex issue that requires a scalable and fault-tolerant runtime environment.

 

News / 16.5.2022

New »Fraunhofer Research Manager«

Dr. Valeria Bartsch from the division »High Performance Computing« has received the »Fraunhofer Research Manager« certificate. In the predicate program, selected Fraunhofer talents learn to shape their ability to act at the interface between science and industry and the targeted, effective transfer of research results.

 

New Project / 14.4.2022

Standards for the Future Technology Quantum Computing

With the BMBF-funded project »QCStack«, our researchers are pursuing a clear vision: the development of a technology- and vendor-independent software stack for quantum computers. Together with project partners, we are developing software that is needed for the initialization and continuous operation of quantum computers. 

 

Press Release / 23.3.2022

Ministerial Director hands over funding notification for ENERDIG

The efficient use of energy is becoming increasingly important. The state government of Rhineland-Palatinate also wants to combat climate change and is therefore promoting our »ENERDIG« project. Ministerial Director Daniel Stich handed over the funding notification to Institute Director Anita Schöbel and Project Manager Dietmar Hietel. [Only available in German]

Interview FACTORY Magazine / 8.11.2021

Each Benefits From the Knowledge of the Other

[only available in German]

Together we are always smarter. Logically, AI models in industry can also be trained better if they also use the learning of other machines. The principle of federated learning is that intelligent machines learn from each other, not about each other. How it works and what it can bring to Industry 4.0 is explained by our colleague Nico Weber in an interview with FACTORY Magazine.

 

Article in InnoVisions / 5.10.2021

25 Years Fraunhofer Itwm: Four Employees Give Insights Behind the Scenes

[Only available in German]

»Mathematics is more multifaceted than one might imagine and it is great to see where mathematical methods are used« – and this for 25 years already. Four of our employees, including our colleague Paula Harder, give us a glimpse behind the scenes.

 

Fairs & Events

Deep Learning Seminar

 

Machine Learning, Deep Learning and the analysis of huge amounts of data in general are becoming more and more important. Such methods are used in almost every area of research, development or industry. The Deep Learning Seminar of the Fraunhofer ITWM is intended to give interes persons an insight into this large field of research and a deeper understanding. Everyone who wants to learn more about Deep Learning, Machine Learning or AI in general is invited - no matter if students, PhD students, professors or software developers.

 

The seminar takes place regularly on Thursdays at 10 am.

Conference Room E4.09 (Riemann)
Fraunhofer-Zentrum 
Fraunhofer-Platz 1 
67663 Kaiserslautern

 

Düsseldorf, Fair / 20. –22.09.2022

DecarbXpo 2022 – Energy Storage

The focus here is on decarbonization, energy storage and climate neutrality in companies. Our colleagues Franz-Josef Pfreundt, Matthias Klein-Schlößl and Christian Mohrbacher from the division »High Performance Computing« will be on site with a booth and present the projects »Amperix«, »myPowerGrid Software Ecosystem« and »PVCAST«.

Vacancies

To work in industrial and research projects, the division High Performance Computing is permanently looking for Scientific Staff and Software Developers (m/f) for our various fields of activities, for example Green by IT, Deep Learning or Parallel Programming.

We expect that all applicants enjoy research and team communication, that they are confident handling of modern programming languages, preferably C++ and have an interest or experience in software development and object-oriented software design as well as having a good command of German or English.

Please look at the currently posted job vacancies or apply unsolicited.

 

BSc/MSc and Diploma Students

  • For a thesis project in the fields of our HPC tools and applications.
  • Your field of study is not restricted to mathematics or computer science, but students of physics, engineering or related areas are also invited to apply. We supervise your thesis in cooperation with your university or German "Fachhochschule"

 

PhD Students

We are permanently looking for PhD students. PhD students will gain scholarships according to the DFG guidance.

 

Graduate Assistants

The division HPC provides interesting tasks for scientific assistants from the main study course in mathematics, computer science, engineering sciences or physics. We expect basic knowledge and interest in computational simulation and/or programming competency.