Computational Scientist and Research Software Engineer (MaMMoS) (2023)

• 4 year project (MaMMoS, https://mammos-project.github.io/)
• combining experiment and multi-scale modelling with
• machine learning
• to enable development of better magnets
• supporting renewable energy
• create open source software MaMMoS (Magnetic Multiscale Modelling Suite)
• Start date: 1 Jan 2024 or as soon as possible thereafter
• Detailed description

Master student project(s): Modern Data analysis (2023)

• at Max Planck Institute for Structure and Dynamics of Matter (Hamburg, Germany)
• Details here.

Research Software Engineer for Data Science and High Performance Computing (2022)

• Call is closed

Computational modelling for UK national research programme into magnetic skyrmions (2021)

• Application deadline: 30 July 2021
• Call is closed.

Scientist for Scientific Service Unit for Computational Science

• Application deadline: 21 March 2021
• Call is closed.

PhD project: Workflows for reproducible computational science and data science

• Call is closed details here.

PhD studentship: Computational modelling of magnetic materials and skyrmions

• Call is closed: details here.

3-year Post doc: Computational modelling for UK national research programme into magnetic skyrmions (2019)

• Call is closed, deadline 4 August 2019: please find details here.

Software Engineer - Open Science Cloud Developer 2

• Call is closed, deadline 31 July 2019: draft details here

Software Engineer - Open Science Cloud Developer

• Call is closed; details here

Generic information

For positions at European XFEL in Germany: the working language is English; international applications are very welcome.

Computational tools used in Hans' group include Python, Scipy, Numpy, Matplotlib, C, Cython, MPI, OpenMP, C++, Petsc, Sundials, Mercurial, Git, github, bitbucket, py.test, hypothesis, jenkins, tox, vagrant, VTK, MayaVi, Paraview, Netgen, Gmsh, Xmgrace, Gnuplot, ReST, LaTeX, OOMMF, Nmag, Magpar, Debian, Ubuntu, Mac OS X, ovf2vtk, rest2web, sphinx, anaconda, conda, IPython Notebook, Jupyter, Julia, Containers, Docker, Binder, Airflow, and others. If you have experience with any of these, then this is great. Otherwise, you will learn those that are important to your project as part of the studentship/job.