Join CERN: Applied Physicist on Event Reconstruction (EP-CMG-DS-2024-103-GRAP)

At CERN, the European Organization for Nuclear Research, we are venturing into a monumental journey of scientific discovery. Our Real-time Reconstruction Revolution (R³ - Rcube) project under the Next Generation Trigger initiative (NGT) represents our commitment to advancing science.

Your Responsibilities

As a part of this innovative project, you will face the challenge of significantly reducing the reconstruction time for essential physics objects such as electrons, photons, muons, taus, Jets, and missing energy, as well as the particle flow event interpretation within the CMS high-level trigger processing step.

Your primary focus will be developing accelerated hadron reconstruction methods from individual energy deposits in calorimeters to final physics objects. This position requires an in-depth comprehension of the physics of hadron reconstruction and the ability to handle data from all detectors including tracking, calorimeters, and muon systems.

Key tasks include designing and developing new algorithms utilizing heterogeneous solutions and AI techniques to enhance speed and accuracy. Rigorous testing of these algorithms to ensure their practical application in physics and computing power is essential. Collaboration with your team to integrate these advanced algorithms into the CMS reconstruction software is crucial.

Your Profile

Required Skills and Knowledge

- Experience in High Energy Physics (HEP) Reconstruction Code Development.

- Proficient in programming with C++, focusing on creating efficient algorithms.

- Familiarity with parallel programming and optimizing algorithms for efficient execution on GPU architectures is advantageous.

- Experience in developing, training, and deploying ML models is appreciated, as the role involves incorporating AI-driven techniques into reconstruction algorithms.

Eligibility Criteria

You must be a national of a CERN Member or Associate Member State. A limited number of positions are also available to candidates from Non-Member States. You should have a professional background in Physics or Computer Science (or a related field) and:

- Hold a Master's degree with 2 to 6 years of post-graduation professional experience; or

- Possess a PhD with no more than 3 years of post-graduation professional experience.

Previous holders of CERN fellow or graduate contracts are ineligible.

Additional Information

Job Closing Date: 11.07.2024 at 12:00 AM (midnight) CET

Job Reference: EP-CMG-DS-2024-103-GRAP

Contract Duration: 24 months, with a possible extension up to 36 months maximum

Target Start Date: 01-September-2024

What We Offer

A monthly stipend ranging between 6212 and 6828 Swiss Francs per month (net of tax). Coverage by CERN's comprehensive health scheme (for yourself, your spouse, and children), and membership of the CERN Pension Fund. Depending on your individual circumstances, additional benefits include an installation grant; family, child, and infant allowances; payment of travel expenses at the start and end of the contract. Enjoy 30 days of paid leave per year. Gain access to on-the-job and formal training at CERN, along with in-house language courses for English and/or French.

About Us

At CERN, physicists and engineers probe the fundamental structure of the universe using the world's largest and most complex scientific instruments. They study the basic constituents of matter—fundamental particles—by making them collide at near light speeds, providing insights into the fundamental laws of nature. Discover more at .

We are on a journey of unparalleled discovery. Bring your expertise and advance your knowledge and skills at an accelerated pace. Join world-class experts on unique projects in a quest for deeper understanding and greater knowledge.

Begin your CERN Quest. Take Part!

Diversity has been a foundational value at CERN since its inception. Employing a diverse workforce is central to our success, and we invite candidates from all backgrounds to apply.

Company Name: CERN

Job Title: Applied Physicist on Event Reconstruction (EP-CMG-DS-2024-103-GRAP)