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

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, involving knowledge of probabilistic models, statistical inference, and related programming frameworks or languages. The role requires the ability to design, implement, and evaluate testing techniques tailored for scientific software, which often involves complex computational models and simulations. Candidates should be proficient in relevant programming languages commonly used in scientific computing and probabilistic programming, such as Python, R, or specialized probabilistic programming languages. A solid understanding of scientific software development workflows and challenges is important. The position is research-intensive, suitable for candidates with a strong academic background, ideally holding a master's degree in computer science, software engineering, or a related field. The scholarship is based at the IT University of Copenhagen, indicating an environment that values cutting-edge research and interdisciplinary collaboration. Successful candidates will demonstrate analytical thinking, problem-solving skills, and the ability to contribute to scholarly publications. Familiarity with software testing tools, version control systems, and experimental design in software engineering research will be advantageous. Overall, this role suits motivated individuals aiming to advance the state of the art in testing methodologies for scientific software through probabilistic programming techniques.