Research Internship at CKL – Optimization of Particle Detector Geometry

Position : Research Internship at CKL

Project : Optimization of Particle Detector Geometry

Scientific supervisor : Prof. Dr. Andrey Ustyuzhanin

Introduction to CKL :

The Constructor Knowledge Lab (CKL) 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) detectors 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 :

Requirements :

Required Experience :

Intern

Key Skills

Automotive,Atl,Architectural Design,HAAD RN,Jboss,Accident Investigation

Employment Type : Intern

Experience : years

Vacancy : 1