Laboratorium für Applikationen der Synchrotronstrahlung (LAS)
Akademische Mitarbeiter:in - Informatik, Mathematik(m/w/x)
Full-timeTemporary contractWith HomeofficeExperienced
Eggenstein-Leopoldshafen
from 62,000 - 71,300 / year
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LALaboratorium für Applikationen der Synchrotronstrahlung (LAS)
Academic Staff Member – Computer Science, Mathematics(m/w/x)
Eggenstein-Leopoldshafen
from 62,000 - 71,300 / year
Full-timeWith Home OfficeExperienced
Nejo AI Summary
At large-scale research institution, developing advanced data management architecture for distributed 3D tomographic datasets and image processing pipelines. PhD in CS/Math or Master's with 2+ years experience, plus CUDA/OpenCL skills required. Flexible working hours, work from home option.
Requirements
- PhD in computer science, mathematics, or related disciplines, or Master's in named disciplines with 2+ years work experience
- Work experience with cross-technology systems design/implementation (CPU, GPU, clusters)
- Parallel programming with CUDA/OpenCL
- Good programming proficiency, particularly C and Python
- Linux fluency
- Advantageous experience with image processing, machine learning, networking technologies
Tasks
- Develop a modular, plugin-based system for large-scale 3D image processing pipelines
- Ensure cross-technology support (CPU, GPU, multi-node systems)
- Optimize for zero-copy data paths
- Utilize high-speed interconnects efficiently
- Ensure optimal scalability across multiple GPUs and GPU nodes
- Implement and integrate 3D image processing algorithms
- Include pre- and post-processing steps in algorithms
- Optimize system performance for partner computing infrastructures
- Implement high-level data processing pipelines in Python
- Create pipelines using a visual programming tool
- Integrate pipelines into an online interactive platform
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- CPU
- GPU
- clusters
- CUDA
- OpenCL
- C
- Python
- Linux
Benefits
Learning & Development
- Specific job training
- Further qualification offers
Flexible Working
- Flexible working time models
- Flexitime
- Work from home
Healthcare & Fitness
- Sports and leisure offers
Childcare
- Child and holiday care services
Public Transport Subsidies
- Job Ticket Baden-Württemberg (EUR 25/month)
Free or Subsidized Food
- Canteen food and beverages
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Laboratorium für Applikationen der Synchrotronstrahlung (LAS) and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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LALaboratorium für Applikationen der Synchrotronstrahlung (LAS)
Academic Staff Member – Computer Science, Mathematics(m/w/x)
Eggenstein-Leopoldshafen
from 62,000 - 71,300 / year
Full-timeWith Home OfficeExperienced
Nejo AI Summary
At large-scale research institution, developing advanced data management architecture for distributed 3D tomographic datasets and image processing pipelines. PhD in CS/Math or Master's with 2+ years experience, plus CUDA/OpenCL skills required. Flexible working hours, work from home option.
Requirements
- PhD in computer science, mathematics, or related disciplines, or Master's in named disciplines with 2+ years work experience
- Work experience with cross-technology systems design/implementation (CPU, GPU, clusters)
- Parallel programming with CUDA/OpenCL
- Good programming proficiency, particularly C and Python
- Linux fluency
- Advantageous experience with image processing, machine learning, networking technologies
Tasks
- Develop a modular, plugin-based system for large-scale 3D image processing pipelines
- Ensure cross-technology support (CPU, GPU, multi-node systems)
- Optimize for zero-copy data paths
- Utilize high-speed interconnects efficiently
- Ensure optimal scalability across multiple GPUs and GPU nodes
- Implement and integrate 3D image processing algorithms
- Include pre- and post-processing steps in algorithms
- Optimize system performance for partner computing infrastructures
- Implement high-level data processing pipelines in Python
- Create pipelines using a visual programming tool
- Integrate pipelines into an online interactive platform
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- CPU
- GPU
- clusters
- CUDA
- OpenCL
- C
- Python
- Linux
Benefits
Learning & Development
- Specific job training
- Further qualification offers
Flexible Working
- Flexible working time models
- Flexitime
- Work from home
Healthcare & Fitness
- Sports and leisure offers
Childcare
- Child and holiday care services
Public Transport Subsidies
- Job Ticket Baden-Württemberg (EUR 25/month)
Free or Subsidized Food
- Canteen food and beverages
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Laboratorium für Applikationen der Synchrotronstrahlung (LAS) and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Laboratorium für Applikationen der Synchrotronstrahlung (LAS)
Industry
Research
Description
Das Unternehmen entwickelt eine fortschrittliche Datenmanagementarchitektur für die Speicherung und Analyse großer 3D-Tomographie-Datensätze.
Not a perfect match?
- Laboratorium für Applikationen der Synchrotronstrahlung (LAS)
Akademische Mitarbeiter:in - Informatik, Mathematik(m/w/x)
Full-timeTemporary contractWith HomeofficeExperiencedEggenstein-Leopoldshafenfrom 62,000 - 71,300 / year - Institut für Nanotechnologie (INT)
Computer Scientist(m/w/x)
Full-timeWith HomeofficeNot specifiedEggenstein-Leopoldshafen - Fraunhofer-Gesellschaft
Teamleitung Scientific Computing & AI/HPC-Infrastruktur(m/w/x)
Full-time/Part-timeTemporary contractWith HomeofficeSeniorKarlsruhe - Institut für Nanotechnologie (INT)
Research Scientist LLM Agents and Semantic Data Processing in Materials Science(m/w/x)
Full-timeWith HomeofficeNot specifiedEggenstein-Leopoldshafen - Institut für Nanotechnologie (INT)
Informatiker:in(m/w/x)
Full-timeTemporary contractWith HomeofficeNot specifiedEggenstein-Leopoldshafen