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for software-based analysis and ev. R-programming is welcome. We welcome applicants who are detail-oriented, enthusiastic about innovative research, and enjoy working in a collaborative environment. Lead and
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Contribute to open-source software and reproducible research artifacts Collaborate actively, fruitfully, and respectfully with the PIs, the HPC group, and partner institutions Contribute to teaching (max. one
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evaluation. Collaborating with heritage partners (e.g., Swiss National Museum, SIK-ISEA) and preparing evaluation reports and a white paper for applied use. PhD in Digital Humanities, Imaging Science, Computer
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