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
sprungmarken_marker_9436
Jobs at SCC
PostDoc position (f/m/d)
Distributed AI algorithms development for 3D synchrotron imaging
Category
Job description
The Scientific Computing Center (SCC) is the Information Technology Center of KIT. The junior research group “Robust and Efficient AI” at SCC develops scalable, energy-efficient machine learning methods for data-intensive applications in the natural sciences, such as weather forecasting and medical diagnostics. Our research combines modern AI with high-performance computing (HPC) to enable robust analysis of extremely large datasets.
We are seeking a Postdoctoral Researcher to join the BMFTR-funded project MorphoSphere, which focuses on AI-based analysis of ultra-high-resolution 3D imaging data generated at large-scale neutron and synchrotron facilities (e.g. DESY, ESRF). These datasets enable advances in materials science and biomedical research, but they easily reach petabyte scale and cannot be processed with standard deep learning approaches. Within this project, you will develop and implement machine learning approaches that enable processing these large 3D image at full resolution.
Your contributions will include:
- Developing parallel and distributed algorithms for processing ultra-large 3D images across multiple GPUs
- Designing and adapting scalable deep learning models for segmentation and landmark detection (e.g. U-Net variants, Transformers)
- Extending and optimizing existing approaches within the HeAT software framework
- Implementing solutions using GPU-based HPC systems and modern supercomputing architectures
- Applying and validating methods on real-world synchrotron and neutron imaging data
- Contributing to research software engineering (RSE) best practices, including maintainable, reproducible, and high-quality research code
- Publishing results in peer-reviewed venues and collaborating with domain scientists
Personal qualification
Job requirements:
- You hold a Degree (Masterlevel) and PhD in computer science, physics, mathematics or equivalent discipline
- Very good programming and software development skills, preferably in Python
- Proven academic track record (publications) in deep learning model development, high-performance computing or parallel algorithms research
- Prior experience in data science applications for the natural sciences and engineering
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
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