NFDI-MatWerk - Responsive Layout
NFDI-MatWerk – National Research Data Infrastructure for MSE

We support researchers in Materials Science and Engineering (MSE) with FAIR data solutions that enable new discovery.

We envision research data management (RDM) that supports every stage of a project, strengthens collaboration through easier data exchange, and integrates materials data from different techniques, including experiments and simulations.

We invite researchers with all levels of RDM knowledge to engage with an ecosystem of adaptable workflows, services, tools, and guidance that support daily laboratory and simulation work.

Laboratory Equipment

Materials Development & Characterization

Management of experimental data

Data Visualization

Materials Simulation & Data Science

Management of simulation data and knowledge

Microscopy

Materials Processing & Testing

Management of experimental data

Collaborative Research

Solutions

Management of research data

FAIR Data Workflow

Education

Learning & empowerment formats for the MSE community

Materials Informatics (M.Sc.): part-time studies at Anhalt University of Applied Sciences

The new part-time Master's programme in Materials Informatics will start at Anhalt University of Applied Sciences in the summer semester of 2023.

The study programme in Materials Informatics at Anhalt University of Applied Sciences is aimed at working professionals, and experts in materials science and/or computer science. The combination of classroom and online phases makes it possible to study mainly independent of time and place.

The programme starts with introductory modules that raise the participants' prior knowledge in both subjects (materials science or computer science) to the required entry level. As a graduate, you will receive a Master of Science degree after five semesters of study

Focal points include: 
- Data management, data processing, data analysis
- Materials science and materials technologies
- Material groups and process-related structure-property relationships
- Data mining, machine learning and digital image processing
- Material models and simulation tools

The degree programme is application- and action-oriented. In a case study as well as the Master's thesis, students work on a case that can be applied in practice. The topic can be closely coordinated with their professional environment. 

Lecturers: Prof. Ralf Wehrspohn, Dr. Benedikt Ziebarth, Prof. Christian Hänig, Prof. Michael Cebulla, Dr. Lutz Weber, Prof. Daniel Juhre, Dr. Marko Turek, Prof. Christian Hagendorf, Prof. Ulrich Blum, Prof. Anika Groß and many more. 

Advantages: extra-occupational and practice-oriented study, attendance time only around 15 %, flexible scheduling

The application deadline is 15 March 2023. 

Further information is available in digital meetings in February

NFDI-MatWerk
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524.