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for reproducible HPC environments. Experience with CUDA-level optimization or debugging hardware-specific performance differences. Basic knowledge of protein structure, folding, or biophysics. Physical Demands
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The Geospatial Data Analytics (GDA) Lab is establishing a specialized research position focused on high-performance computing, artificial intelligence, and computer vision. Unlike traditional engineering research
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computer vision. Unlike traditional engineering research roles, this position functions as a specialized Research Software Architect, bridging the gap between photogrammetry and modern generative AI
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: Python (including PyTorch and TensorFlow), Julia (including Flux and CUDA), C++. Preferred Qualifications: Experience in the development and maintenance of scientific computing software suites. Experience
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-throughput modeling over heterogeneous or sparse datasets. Conduct system profiling, model benchmarking, and empirical evaluation across different computing architectures. Explore novel strategies
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of spikes by a model Develop proxy apps representing the different processing stages of spiking network simulation code (targeting CPU and accelerators such as GPU or IPU) Systematic benchmarking of proxy
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-throughput modeling over heterogeneous or sparse datasets. Conduct system profiling, model benchmarking, and empirical evaluation across different computing architectures. Explore novel strategies
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(beyond model training) Solid programming skills (Python required; C++/CUDA a plus depending on simulations) Interest in physics-based simulation, numerical methods, or computational engineering Motivation
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hardware-specific tuning (e.g., SIMD) Implement and optimize kernels using CUDA, OpenMP, OpenCL, or accelerator-specific programming models Contribute to or integrate with compiler and IR frameworks such as
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
3D vision topics such as 3D mesh models, statistical shape modeling and articulated pose estimation Solid ML/AI foundation Strong programming skills in Python (CUDA is a plus) Hands-on experience with