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execution time (WCET). The postdoc position focuses on compiler support for WCET analysis for time-predictable architectures such as Patmos/T-CREST. Furthermore, it is expected to join the development of a
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, and deploy large scale generative models for materials discovery. Work and advance the state-of-the-art in diffusion model architectures for materials. Publish scientific papers and present research
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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the SelSiCELL project which aims to make high performance solar cells based on selenium (c-Se) as the photoabsorber, and to make tandem solar cells based on the c-Se/c-Si architecture. The project is mostly
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-waveguide couplings that surpass the time-bandwidth limit of static cavities [Xue2022]. With these components as building blocks, we envision large-scale recirculating circuit architectures [Heuck2023b