Applied Physicist for Event Reconstruction

vor 3 Wochen


Genf, Genf, Schweiz CERN Vollzeit
Job Description

CERN is seeking an expert in software engineering or applied physics with expertise in online reconstruction and high-level trigger (HLT) development to join the Next Generation Trigger (NGT) initiative. As part of the Real-time Reconstruction Revolution (R3 - Rcube) project, you will play a key role in rethinking the traditional CMS Phase-2 High-Level Trigger (HLT) reconstruction system.

Key Responsibilities
  1. Conduct a critical assessment of the current high-level trigger reconstruction performance and design innovative approaches to enhance event reconstruction at the HLT.
  2. Collaborate closely with NGT Task leaders to leverage their progress and ensure consistent and reliable contributions to developing the CMS NGT high-level trigger project.
  3. Develop and oversee a comprehensive validation suite and evaluate the physics and computational prowess of the reconstruction algorithms run during high-level trigger processing.
  4. Integrate cutting-edge algorithms into the existing CMS High-level trigger reconstruction software.
  5. Assist team members in adopting novel reconstruction algorithms and their products into their specific HLT paths.
  6. Supervise doctoral students and fellows to ensure a well-rounded and impactful contribution to the broader research objectives.
Qualifications

PhD or equivalent relevant experience in the field of Physics or Computer Science or a related field.

Required experience in the following areas:

  1. Experience in event reconstruction and software development for the High-Level Trigger at a high energy physics (HEP) experiment.
  2. Experience in C++ programming, including the latest C++ standards (C++17 or later).
  3. Using modern software development tools: containerised environments, debugging tools, profiling tools, source code management (git), merge requests, CI/CD, issue tracking, and documentation.

Nice to have experience:

  1. Good knowledge of the conditions required for optimal event reconstruction in high-energy physics experiments.
  2. Familiarity with deep learning frameworks.
Technical Competencies

Development of application software: advanced knowledge and application of software development for High-Level Trigger (HLT) and event reconstruction at high-energy physics experiments.

Knowledge of programming techniques and languages: strong proficiency in C++ with practical application of the latest standards (C++17 and later) and object-oriented programming principles.

Simulation, design and development of trigger, data acquisition chains: expertise in designing and implementing HLT menus and trigger paths for optimised real-time performance.

Knowledge and application of software life-cycle tools and procedures: proficient use of containerised environments, debugging, profiling, source code management (Git), CI/CD pipelines, and issue-tracking tools. Maintaining software documentation and applying collaborative development practices, including code reviews and merge requests.

Behavioural Competencies

Solving problems: addressing complex problems by breaking them down into manageable components. Finding the information needed to solve problems; making objective judgments based on all the facts available. Being open to original ideas and creative options by which to address issues; continually driving change by seeking new ways to improve outcomes.

Achieving results: delivering high quality work on time and fulfilling expectations. Following through on new ideas and innovations; planning and implementing application. Objectively assessing and monitoring own work; regularly reporting on progress and advising of any changes in schedule or priorities.

Learning and sharing knowledge: keeping up-to-date with developments in own field of expertise and readily absorbing new information. Taking steps to expand knowledge in other areas of expertise beyond own field. Sharing knowledge and expertise freely and willingly with others; coaching others to ensure knowledge transfer.

Working in teams: working well in groups and readily fitting into a team; participating fully and taking an active role in team activities. Cooperating constructively with others in the pursuit of team goals; balancing personal goals with team goals. Seeking to help other team members when own work is done; supporting others.

Demonstrating flexibility: demonstrating openness to new ideas and situations. Readily absorbing new techniques and working practices; proposing new or improved ways of working. Actively participating in the implementation of new processes and technologies.

Language Skills

Spoken and written English: ability to understand and speak the language in professional contexts.



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