Position: Research Internship at CKI Project: Optimization of Particle Detector Geometry Scientific supervisor: Prof. Dr. Andrey Ustyuzhanin Introduction to CKI: The Constructor Knowledge Institute (CKI) intends to set the worldwide standard for research into Computer Science, AI and Machine Learning, Robotics, and Neuroscience, operating in strong contact with industry, and: Leveraging CS technologies to address challenges in various fields, delivering innovative solutions tailored to industry needs. Providing research opportunities, mentorship, and involvement in collaborative projects to young researchers and PhDs. Encouraging interdisciplinary research by fostering collaboration between diverse fields, emphasizing the integration of theoretical research with practical application Project: Optimization of Particle Detector Geometry The goal of this project is to develop an algorithm designed to efficiently optimize the SHiP (Search for Hidden Particles) detector’s straw tracker, utilizing advanced sampling techniques and uncertainty estimation methods. The algorithm will aim to improve the performance of the detector by optimizing its configuration, addressing challenges like high-dimensional parameter spaces, noisy measurements, and the need for computational efficiency in real-time data processing. Challenges / key research questions: Optimize high-dimensional parameter spaces for complex detector configurations. Manage noisy measurements and ensure accurate results under uncertainty. Ensure computational efficiency for real-time data processing and decision-making. Balance model complexity with computational feasibility. Integrate uncertainty estimation techniques into the optimization process. Requirements: Python skills Experience with AI libraries Prompt engineering Math and data processing skills are plus