PhD Scholarships in Software Engineering and Probabilistic Programming on Testing Scientific Software at IT University of Cop...

This PhD scholarship opportunity focuses on advanced research in software engineering and probabilistic programming, specifically applied to testing scientific software. Candidates are expected to have a strong foundation in software engineering principles, including software testing methodologies and quality assurance practices. Expertise or interest in probabilistic programming is essential, indicating familiarity with probabilistic models, statistical inference, and programming languages or frameworks that support probabilistic computation. The research will likely involve developing novel testing techniques that leverage probabilistic approaches to improve the reliability and correctness of scientific software, which often involves complex computations and simulations. Candidates should possess strong analytical and problem-solving skills to design experiments, analyze results, and contribute to scientific knowledge in this interdisciplinary area. While specific experience and education levels are not detailed, the position implies a rigorous academic background in computer science, software engineering, or related fields, with a focus on research capabilities. Familiarity with scientific computing environments and software development tools commonly used in research settings may be beneficial. Overall, the role demands a combination of theoretical knowledge and practical skills in software engineering, probabilistic programming, and scientific software testing, suited for candidates aiming to pursue research at the intersection of these domains.