Scientific Computing Expert - Zurich, Schweiz - ETH Zürich

ETH Zürich

Geprüftes Unternehmen

Zurich, Schweiz

vor 1 Woche

Geschrieben von:

Lena Schneider

beBee Recruiter

Beschreibung

Scientific Computing Expert:

80%-100%, Zurich, fixed-term:

To support teaching, research and knowledge transfer, the
IT Services (ITS) of ETH Zurich are working as a service organization in a large and complex IT environment.

Within the ITS section Scientific IT Services the group
Computational & Data Science Support (CDSS) aims at bridging the gap between computational research and IT services and infrastructure provisioning.

We are working closely together with ETH researchers to provide support in the wide area of scientific computing from data management and analysis, development of scientific software, to porting and optimizing such software to high-performance and cloud computing infrastructures.

Job description:

You will work closely with researchers to understand their data and their needs in working with the data, finds solutions to address them, and provides training and consulting on tools and solution paths.

In this role, you need to coordinate between our customers (i.e. researchers), members of SIS, other ITS experts, or external collaborators (e.g. from CSCS or SDSC).

Furthermore you will investigate new tools and technologies relevant for scientific computing, particularly in the area of computational and data science.

Your profile:

This position requires

PhD in computational science or related field such as physics, bioinformatics, computer science, etc.;

- good understanding of the fundamentals of natural sciences and statistical and numerical methods;
- strong background in scientific programming, data processing and analysis in the Unix/Linux programming environment;
- mastery of Python and 2-3 other relevant programming languages in scientific computing (e.g. C/C++, R, Matlab) and knowledge of object-oriented programming and software design;

Advantageous are
- hands-on experience with HPC clusters (e.g. Slurm), optimization and parallelization or GPU computing (e.g. Dask, ipyparallel, OpenMP, MPI) and with the usage of workflow managers (e.g. Snakemake, Nextflow, etc.);
- advanced Python skills and knowledge of libraries and concepts such as e.g. Numba, PyPy, Cython or JAX;
- experience with computational solutions for reproducible research;
- understanding of how to use cloud technologies.

In addition to the above analytical and technical abilities, this position demands a particular interest in and flexibility to learn or adopt new technologies in the broad area of scientific computing.

Moreover, excellent communication skills in English (German is an asset), solid project management skills and a service-oriented attitude are necessary to effectively and successfully enable research and scientific collaboration with ETH researchers and their partners.

The position is located in Zurich, though occasional travel to other Swiss cities will be required.

We offer:

The initial contract will be for a period of one (1) year, with possibility of renewal.

We value diversity:

In line with our values, ETH Zurich encourages an inclusive culture.

We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected.

Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we
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