Computing Fellowship: Software and System Performance Analysis Specialist

  • Full-time

Company Description

At CERN, the European Organization for Nuclear Research, physicists and engineers are probing 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 that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern.

Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization.

Job Description

Join a team that is working with the experiments at the LHC to improve the efficiency of their scientific software so that with modern hardware the computational challenges of the upcoming HL-LHC can be met. The team has developed over several years advanced tools to analyse the performance of workloads at all levels, from hardware to the global scheduling of workloads.

You will be involved in evolution, design, development, documentation, and deployment of the team’s tool set with opportunities to add new and creative analysis tools or methods. 

Here are some of the technologies that we use:

  • Programming Languages:
    • Python
    • C++
  • Operating Systems:
    • Linux
  • Software:
    • Many different commercial, opensource and locally developed profiling tools
    • Data analytics packages
    • Spark

Qualifications

Eligibility criteria:

  • You are a national of a CERN Member or Associate Member State;
  • You have a Bachelor or Master’s degree in Computer Science, Software Development or a related field;
  • You have no more than 4 years’ experience after completing your highest diploma.

Essential skills and experience:

  • You are curious in understanding how computer resources are used by complex scientific software;
  • You are interested in building intelligent tools to help in analyzing performance at all levels;
  • You enjoy learning and tackling new challenges;
  • You have a good understanding how different components of a computer system work in detail and are interested to expand your current knowledge;
  • You are familiar with Python and its data analytics ecosystem;
  • You have some knowledge of C++;
  • You look forward to working in a multi-national group with close contacts to experiments at the LHC;
  • First experience in machine learning would be an asset.

Please note that CERN Staff members are not eligible to apply for a Fellowship.

Additional Information

CERN would very much like to benefit from your expertise, commitment and passion. 

 In return, CERN will provide you with:

  • An employment contract for between six months (minimum) up to a maximum of 36 months.
  • A stipend ranging from 5,281 to 6,558 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: an installation grant, family, child and infant allowances as well as travel expenses to and from Geneva.
  • 2.5 days of paid leave per month.


Your Life @CERN

Find out more here: https://hr-dep.web.cern.ch/content/life-cern

This is how you can apply:

You will need the following documents to complete your application:

  • A CV.
  • A scanned PDF of your most recent relevant qualification.

We recommend to add two recent letters of recommendation, giving an overview of your academic and/or professional achievements. You can upload these letters at the time of application if you have them to hand. You will also be provided with a link as soon as you have submitted your application to forward to your referees to upload their letters confidentially. Please note this must be done before the closing date.

All applications should reach us no later than 5 April 2020.

Please make sure you have all the documents needed to hand as you start your application, as once it is submitted, you will not be able to upload any documents.

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