Job opportunities
At SCC you work in an innovative organisation with an excellent reputation; an organisation in the middle of international technological developments that helps accellerating science. If you wish to set ambitious goals, find freedom and flexibility in your work and continue to develop your personal strengths, then a job at SCC is just the thing for you. We are always happy to receive your application, even if currently no vacancies are listed, a job opening for researchers, administrators, scientific supporters is always around the corner.
Are you interested in working with us? Then send your speculative application to: personal∂scc.kit.edu
Students interested in working as a research assistant or looking for a topic for their master or bachelor thesis are also welcome. Theses can be supervised primarily in computer science or mathematics, but we also have good contacts to other KIT faculties.
SCC
The Scientific Computing Center (SCC) is the Information Technology Centre of KIT. We work in a wide variety of projects with universities, research institutions and companies, both nationally and internationally. Topics range from the analysis of large scale data to data-intensive computing and cloud computing to parallel and numerical methods. We develop and operate innovative IT services as well as large research facilities.
Overview
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Jobs at SCC
Specialist (m/f/d) in life cycle analysis of data center infrastructures
Category
Job description
The Scientific Computing Center is the Information Technology Center of KIT.
The Scientific Computing and Simulation (SCS) department provides scientists at KIT and beyond with a wide range of infrastructures and services related to high-performance computing (HPC).
The HoreKa research supercomputer operated by SCS is available nationwide for research projects as a Tier-2 performance class system. In addition, SCS provides services for all universities in the state of Baden-Württemberg as part of the Baden-Württemberg HPC Strategy (bwHPC) and operates, among other things, the bwUniCluster 3.0 as a basic Tier-3 performance class system.
As part of the project “Breathing Data Center – Life Cycle Analysis for Data Center Infrastructures,” a comprehensive approach to the ecological, economic, and social evaluation of data center infrastructures is being developed. The aim is to apply suitable life cycle assessment (LCA) methods to HPC and big data storage systems, develop a digital twin, and derive measures for decarbonization and efficiency improvement in the context of the KIT sustainability strategy.
Personal qualification
Job requirements:
- Completed university degree (master's or equivalent) or doctorate in environmental sciences, computer science, engineering, or related fields
- In-depth knowledge of life cycle assessment (ISO 14040/44 compliant)
- Technical understanding of IT infrastructures and data centers
- Experience in project management and interdisciplinary communication
- Ability to communicate complex technical content in an understandable way
- Interest in sustainability, digitalization, and cross-disciplinary research
- Very good German and English skills
Curious about an exciting and versatile role in an agile team? Discover more about SCC as your professional place to be: https://www.scc.kit.edu/en/aboutus/working-at-scc.php
More details Apply
Data transfer specialist (f/m/d)
Research Associate (f/m/d)
Category
Job description
The Scientific Computing Center (SCC) is the information technology center of KIT. The Scientific Data Management department at SCC is seeking additional staff to support the development of user-friendly file transfer tools between suitable endpoints such as the LSDF (Large Scale Data Facility) and the bwDataArchiv in a scientific environment.
Your Responsibilities:
- Operation, maintenance, and further development of existing WebDAV, FTS, and LSDF web portal services
- Extension of the WebDAV protocol to support third-party transfers using FTS and OIDC-based authentication. The extension will be provided as an Apache module for deployment within the LSDF
- Further development of the LSDF checksumming service as well as the web portal
- Integration of the services into the AAI infrastructures of KIT and the NFDI
Personal qualification
Job requirements:
- Completed university degree (Master’s level), preferably in Computer Science, Mathematics, or Physics
- Knowledge of the programming languages C and Python
- Experience in the operation of IT services
- Knowledge of configuration management systems such as Ansible and Puppet
- Experience in the administration of Linux server systems
- Solid, broad-based IT knowledge
- Knowledge of English - fluent in spoken and written
Curious about an exciting and versatile role in an agile team? Discover more about SCC as your professional place to be: https://www.scc.kit.edu/en/aboutus/working-at-scc.php
More details Apply
Research Software Engineer / Scientific Researcher (m/f/d)
Category
Job description
The Scientific Computing Center is the Information Technology Center of KIT.
Earth system models (ESMs) are highly complex software systems that have often developed over several decades. In addition to the core model that computes meteorological processes, an ESM includes a wide range of specialized submodels - such as those for cloud microphysics or atmospheric chemistry - interconnected through well-defined interfaces. The computational demands of ESMs are immense, but their high degree of parallelism enables long-term climate simulations on modern HPC clusters. Continuously adapting these models to the latest hardware and software developments remains an ongoing challenge.
Your responsibilities in this area will include the following tasks (in close collaboration with domain scientists):
- Ensuring the sustainability of community ESM codes, and enabling the adoption of modern HPC systems
- Enabling and improving high-performance computing capabilities of ESM codes, including performance optimization
- Contributing to porting ESM codes to heterogeneous HPC architectures, including GPU-accelerated systems
- Participation in model developments with regard to the further development of an improved simulation of the Earth system
- Participate in the NHR ESM community through software development support and user outreach
- Carrying out own research in atmospheric modeling, including running and analyzing ESM simulations
- Participating in scientific conferences and contributing to peer-reviewed publications
Personal qualification
- Degree (Master's level) and doctorate in atmospheric research, computer science, physics, engineering or a related field
- Strong knowledge in the programming languages Fortran, C++, and Python
- Solid background in build engineering, including Makefile development, compiler configurations, built optimization, and experience with Linux-based HPC clusters
- Good software development practices, including version control with Git, documentation, and CI/CD workflows
- Substantial experience with distributed- and shared-memory parallelization using MPI and OpenMP. Additional background in developing for heterogeneous architectures (e.g., CUDA or ROCm) is advantageous
- Familiarity with modern deep learning frameworks (e.g., PyTorch or TensorFlow) and contemporary AI models, such as transformer-based models or convolutional neural networks, is advantageous
- Strong communication and presentation skills, and the ability and motivation to work effectively in a team
- Good written and spoken English skills; German language skills are an advantage
Curious about an exciting and versatile role in an agile team? Discover more about SCC as your professional place to be: KIT - SCC - About us - Working at SCC
More details Apply
Offers for students
Doctoral theses, final theses, master's theses and bachelor's theses
- The Data Analytics, Access and Applications (D3A) department offers master's and bachelor's theses
- The Data Exploitation Methods (DEM) department offers graduate and doctoral theses
- The research group Methods for Big Data(MBD) offers master theses
- The Scientific Computing & Mathematics(SCM) department offers master's and bachelor's theses
- The Uncertainty Quantification (UQ) research group offers master's and bachelor's theses
Mentoring program for female STEM students
The new mentoring program Warp4IT "Women as research peers for Information Technology" aims to give female STEM students an insight into the working life of female scientists through project work.
female scientists through project work. Further information: Women's Network
Student assistants wanted
- Offers in the department Data Analytics, Access and Applications(D3A)
- Offers of the research group Methods for Big Data (MBD)
- Offers in the department Networks and Telecommunications
- Offers in the department Scientific Computing & Simulation