Introduction
After the next round of upgrades, the CERN's experiments are expected to daily collect data at a rate equivalent to one-tenth of today's European Internet traffic. This presents a formidable challenge in processing and filtering a vast amount of information swiftly and efficiently. We are seeking for an enthusiastic individual to join our team in addressing this critical task. You will collaborate with a diverse team of experts, post-doctoral researchers, and students in this role. Your efforts will contribute to CERN's Next Generation Triggers project (https://nextgentriggers.web.cern.ch), where we aim to innovate and enhance data filtering methodologies using machine learning and AI techniques.
Functions
In this role, you will design and develop C++ and CUDA code on CPUs and GPUs. You will benchmark and optimize algorithms and investigate the integration in and interfacing of larger bodies of code. You will supervise students, guiding them in their daily work. Through technical discussions, you will align with multiple parties on priorities and goals. You will track the progress of your and your supervisees’ work, ensuring timely delivery of project milestones.
PhD or equivalent relevant experience in the field of Computer Science or Natural Sciences or a related field.
Experience:
Technical competencies:
Behavioral competencies:
Language skills:
Spoken and written English: ability to understand, speak and write in professional contexts.
Eligibility and closing date:
Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States.
This vacancy will be filled as soon as possible, and applications should normally reach us no later than 5th of January 2025 at 23:59 CET.
Employment Conditions
Contract type: Limited duration contract (3 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position.
Working Hours: 40 hours per week
This position involves:
Job grade: 6-7
Job reference: EP-SFT-2024-177-LD
Benchmark Job Title: Computing Engineer