Researcher in Real-time Reconstruction Revolution (R³ - Rcube) Project

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Position Title: Researcher in Real-time Reconstruction Revolution (R³ - Rcube) Project
Location: Geneva
Country: Switzerland
Deadline Date: 09.03.2025

Job Details

Job Posting Organization:
CERN, the European Organization for Nuclear Research, was established in 1954 and is one of the world's largest and most respected centers for scientific research. With over 2,500 employees and thousands of scientists from around the globe, CERN operates in multiple countries and is known for its groundbreaking work in particle physics. The organization is dedicated to probing the fundamental structure of the universe and studying the basic constituents of matter using the world's largest and most complex scientific instruments.

Job Overview:
The position is part of the Next Generation Trigger (NGT) initiative, specifically focusing on the Real-time Reconstruction Revolution (R³ - Rcube) project. This role is pivotal in developing high-performance reconstruction methods for EGamma physics objects, such as electrons and photons, within the CMS Phase-2 high-level trigger framework. The successful candidate will be responsible for designing and implementing advanced algorithms that enhance the speed and accuracy of EGamma reconstruction, utilizing tracking and calorimeter data, GPU programming, and AI-driven solutions. This position offers a unique opportunity to collaborate with physicists, engineers, and computing experts to push the boundaries of performance in high-energy physics.

Duties and Responsibilities:

• Develop innovative EGamma reconstruction methods utilizing CMS tracking and calorimeter data.
• Optimize performance through heterogeneous computing techniques, including GPU programming.
• Explore and integrate AI-driven solutions to enhance the speed and accuracy of reconstruction processes.
• Design, implement, and validate high-performance algorithms for real-time processing of data.
• Ensure robust and seamless integration of developed algorithms into the CMS reconstruction software framework.
• Collaborate closely with physicists, engineers, and computing experts to advance the performance of reconstruction methods.
• Conduct thorough testing and validation of algorithms to ensure reliability and efficiency in high-energy physics applications.

Required Qualifications:

• Programming skills in C++ are essential.
• Expertise in leveraging GPUs and other accelerators for computational tasks, including familiarity with CUDA, Alpaka, or similar programming frameworks.
• In-depth understanding of EGamma physics, calorimetric processes, and Particle Flow reconstruction.
• Familiarity with the CMS software environment, including CMSSW and related tools.
• Experience in High Energy Physics (HEP) Reconstruction Code Development is highly desirable.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) for developing innovative solutions to enhance reconstruction efficiency and accuracy.

Educational Background:
Candidates must have a professional background in Physics, Computer Science, or a related field. The educational requirements include either a Master's degree with 2 to 6 years of post-graduation professional experience or a PhD with no more than 3 years of post-graduation professional experience. It is important that candidates have not previously held a CERN fellow or graduate contract.

Experience:
The position requires candidates to have a professional background in relevant fields, with specific experience levels depending on their educational qualifications. For those with a Master's degree, 2 to 6 years of post-graduation experience is required, while candidates with a PhD should have no more than 3 years of post-graduation experience. This ensures that the selected candidate has adequate experience to contribute effectively to the project.

Languages:
Proficiency in English is mandatory, as it is the working language at CERN. Knowledge of French is considered an asset but is not mandatory. Candidates should be able to communicate effectively in a multilingual environment, as CERN is home to a diverse workforce.

Additional Notes:
The contract duration for this position is 24 months, with the possibility of extension up to a maximum of 36 months. The working hours are set at 40 hours per week, and the target start date for the position is April 1, 202

• The job reference for this position is EP-CMG-DS-2025-21-GRAP. The compensation includes a monthly stipend ranging from 6287 to 6911 Swiss Francs (net of tax), comprehensive health coverage for the employee and their family, and various allowances depending on individual circumstances. Additionally, employees are entitled to 30 days of paid leave per year, on-the-job training, and formal training opportunities at CERN, including in-house language courses.