17 coding-"Prof"-"Foundation-for-Research-and-Technology-Hellas"-"Prof" positions at ETH Zurich in Switzerland
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code, clear README, etc.). We will provide you with guidance for the implementation, but independent work, in general, is required and appreciated. The workload consists of up to 15 hours per week during
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and refactoring source code for computational and data science applications both on the methodological and implementation side or deploying and integrating applications to adequate compute environments
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to receiving your online application by 15 September 2025, including the following documents: CV Academic transcripts Cover letter (including motivation and earliest possible start date) Relevant code samples
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(max one page) CV, including publications and references Two key outputs (these could be publications, software code, projects, etc) Please note that we exclusively accept applications submitted through
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implementing new features, maintaining the code, creating tutorials, and documentation. Profile You are a developer with a BSc or MSc in Computer Science or related fields. You have proven expertise in software
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or notification; template document provided. signed NOMIS code of conduct; template document provided. two external letters of reference for the candidate, to be e-mailed by the author of the letter directly to
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generation, feedback on handwritten or code exercises, and assistance in grading handwritten exams. You will work side by side with faculty, staff, and master’s students across ETH and turn applied research
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for recognizing handwritten mathematics, diagrams, and code, and manage systems that provide timely feedback or rubric-based scoring. In your role focusing on open-source engineering, you'll design clean, modular
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languages (Python, C++). Familiarity with software engineering practices such as version control, automated code testing, code packaging and containerisation. Problem-Solving: Strong analytical and problem
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expertise on optimizing codes and HPC workloads, conduct scaling analyses by means of performance / profiling tools, identify bottlenecks and develop strategies for optimization. You will inspect codes