The Computational methods in systems and control theory group at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg is inviting applications
for a Student / Research Assistant (m/f/d).
Job description
A common theme in scientific computing is the race for the most efficient and accurate algorithm for a class of problems. However, this principally healthy competition is only beneficial if the research output is fairly comparable to prior results, which is a complex endeavor, as the implementation, configuration, compute environment, and test problems need to be well defined. Due to the increase in computer-based experiments in mathematics and scientific computing, research communities need infrastructure for exchange, comparison, and progress-tracking in their fields. To this end, we are developing a benchmark framework for comparing implementations of algorithms using benchmark problems and data sets native to a community. As a demonstrator of this framework, and given the long-term focus on model order reduction (MOR) in the CSC group, we are developing a MOR Benchmarker (MORB) and Ontology (MORBO) based on the MORWiki. The work on MORB and MORBO are funded by the ambitious Mathematical Research Data Initiative (MaRDI), a consortium of the National Research Data Infrastructure (NFDI).
We are seeking a student assistant to work with MORBO and knowledge graphs to help:
- maintain an attractive, simple user interface for searching the benchmark collection;
- populate the knowledge graph with the rest of the benchmark data (in particular, more complicated, nonlinear problems); and
- develop a tool to facilitate updating the knowledge graph as further metadata for particular benchmarks is discovered or computed.
Research group
CSC
Type of position
Student assistant (max. 50 hours / month).
Starting date
As soon as possible, but not before 1 July 2023.
Runtime
300 hours maximum through the end of 2023.
Working area
Computer Science, Complex Systems, Mathematics, Scientific and Technical Assistance.
Expected requirements
Bachelors and masters students actively enrolled at a German university are welcome to apply; this is not a PhD position.
The student is expected to have:
- a strong background in mathematics, computer science, or related fields;
- a passion for research data management;
- experience writing scripts in MATLAB or Python, as well as working with markup languages;
- experience in collaborative software development with git;
- careful attention to detail; and
- a strong command of English.
Experience with SQL, Javascript, and model order reduction in particular would be a plus. Students located in the vacinity of Magdeburg are strongly encouraged to apply.
We offer
A warm working atmosphere in an international and interdisciplinary team with challenging research questions and access to high quality software and hardware resources.
Payment:
Payment is made in accordance with the guidelines of the Max Planck Society.
Applications
Interested students are invited to send their application documents, using the code MARDI-TA2- M3, including a short CV, a recent course transcript, and a cover letter (via e-mail) to:
Dr. Kathryn Lund
Postdoctoral researcher
Phone: +49 391 6110-367
lund@mpi-magdeburg.mpg.de
The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
Please note the information regarding storage of personal data.