Academic Assistant Data Compression & Image Processing for Scientific Large-Scale Data (m/f/d)

Karlsruhe Institute of Technology (KIT) – The University of the Helmholtz Association In dialogue with society, KIT develops solutions for major challenges – from climate change, energy transition and sustainable use of natural resources to artificial intelligence, technological sovereignty and demographic change. As the University in the Helmholtz Association, KIT combines scientific excellence from knowledge gain to application orientation under one roof – and is thus in a unique position to advance this transformation. As a university of excellence, KIT offers its more than 10,000 employees and its 22 800 students outstanding opportunities to shape a sustainable and resilient future. KIT – Science for Impact. The new MorphoSphere project develops an advanced data management architecture for distributed, intelligent and interactive storage and analysis of large 3D tomographic datasets. It integrates large-scale research imaging systems (PETRA III at DESY, KIT Light Source), high-performance computing and data infrastructure at DESY, KIT and the University of Heidelberg as well as various scientific communities. The aim is to optimize data transfer, processing and visualization and thus to accelerate scientific discoveries in different research areas. Academic Assistant / Academic Staff (w/m/d) Institute for Process Data Processing and Electronics (IPE) until 31.10.2028 from now on Full time 57.700,00 to 61.900,00 EUR gross per year

Investigation of loss-free and loss-affected compression methods and analysis of image processing pipelines used by users Evaluation of these methods on real datasets and development of a compression method with maximum compression rate when obtaining the image information relevant for further processing Implementation of automated data reduction workflows and integration into data nest pipelines to the storage systems Development of a data access framework that allows transparent access to compressed data for existing applications Use of caching mechanisms for minimizing charging times for complete data sets and for application-specific subsets Publication of a study on compression methods and documentation of the developed software

A completed academic degree in Computer Science, Mathematics or a related subject Understanding system design principles with a focus on performance, scalability and architectural trade-offs Ability to analytically evaluate architectural decisions under real boundary conditions and to establish a sound basis Good programming skills, especially in C and Python Experience in image processing Good Linux skills Experience with compression algorithms, modern database technologies, virtual file systems, HPC and parallel programming with OpenCL/CUDA are advantageous

Research with effect Work on topics of social relevance – in an excellent scientific environment that makes changes possible. Family friendly The “KIT-Family +” program supports you in the reconciliation of family and work – through childcare, holiday offers, a parent-child office and assistance with family care. Flexible working time Use sliding time, mobile work, part-time models and 30 days holiday for an optimal work-life balance. Health Under the motto “Fit in KIT – with body, mind and soul” we promote your health with sports courses, offers for mental health and regular screenings. Individual additional benefits Benefit from an occupational pension scheme (VBL), a monthly grant of 25 euros to the BW job ticket, as well as a variety of offers for culture and leisure. Career and development We support you with a structured integration, diverse training opportunities and individual support. So we strengthen your personal growth. .