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Position: Computing Fellowship: Data and analysis infrastructure engineer for open science
Institution: European Organization for Nuclear Research
Location: Genève, Switzerland
Duties: You will be part of a small and motivated team in CERN’s Information Technology department. Your work will focus on the implementation of a reproducible research analysis platform (REANA) and its integration with a common data storage solution (Data Lake). You will work in close collaboration with scientists from High Energy Physics (HEP) and Astrophysics/Astro-particle physics. We require therefore a background in Applied Physics/Astrophysics or in Computing Engineering/Data Science with demonstrated knowledge in the computing aspects of those sciences
Requirements: Eligibility criteria; You are a national of a CERN Member or Associate Member State; You have a Bachelor or Master degree in Computer Science, Particle Physics, Engineering or other related field; You have no more than 4 years'experience after completing your highest diploma
   
Text: Computing Fellowship : Data and analysis infrastructure engineer for open science Geneva, Switzerland 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 EOSC-FUTURE is a European funded project to integrate, consolidate, and connect e-infrastructures, research communities, and initiatives in Open Science. One of the CERN goals in the project is to integrate an ecosystem of tools and services to serve the scientific needs of the ESCAPE communities. ESCAPE is a cluster of Astronomy and Particle Physics research infrastructures, addressing the computational needs of those sciences. Specifically, our activity at CERN aims at demonstrating how such an ecosystem can serve the interdisciplinary needs of a Dark Matter Search Science Project as part of the European Open Science Cloud (EOSC). You will be part of a small and motivated team in CERN’s Information Technology department. Your work will focus on the implementation of a reproducible research analysis platform (REANA) and its integration with a common data storage solution (Data Lake). You will work in close collaboration with scientists from High Energy Physics (HEP) and Astrophysics/Astro-particle physics. We require therefore a background in Applied Physics/Astrophysics or in Computing Engineering/Data Science with demonstrated knowledge in the computing aspects of those sciences. Familiarity with distributed services such as scientific computing storage and data management solutions in High Energy Physics is an asset. Familiarity with data science tools and computational pipeline engines is also an asset, together with some experience in data analysis. We use modern technologies to operate and monitor the services and part of the work will offer the opportunity to become familiar with virtualisation and containerizations tools and techniques (OpenStack/Kubernetes), configuration management tools (Puppet), monitoring and data analytics services (ElasticSearch/Spark/Kibana/Grafana). We communicate primarily in English. Qualifications Eligibility criteria You are a national of a CERN Member or Associate Member State ; You have a Bachelor or Master degree in Computer Science, Particle Physics, Engineering or other related field; You have no more than 4 years' experience after completing your highest diploma. Essential skills and experience Experience in Ddeveloping production-level applications using the Python programming language; knowledge of BASH scripting; Experience in data analysis in the High Energy Physics or Astrophysics environment ; Familiarity with the agile software development process and tools, such as GIT; You value collaborating, learning and sharing knowledge with colleagues and collaborators; Familiarity with the DevOps practices: demonstrated capability to develop, integrate, test, deploy and commission prototype services in rapid cycles;. You value collaborating, learning and sharing knowledge with colleagues and collaborators. Desired skills and experience Professional experience in one or more of the following would be an asset: virtualisation, configuration and container technologies (Openstack, Puppet, Docker, Kubernetees); Familiarity with HEP storage solutions (dCache, EOS, DPM, StoRM, xrootd), and data management services (Rucio, FTS); Familiarity with analysis pipeline frameworks (e.g. REANA) and/or data science concepts and tools in the Python ecosystem (e.g. Pandas DataFrames, NumPy); Experience with data analytic and monitoring tools (ElasticSearch, Hadoop/Spark, Kibana, Grafana). Additional Information CERN would very much like to benefit from your expertise, commitment and passion. In return, we offer: An employment contract for between six months (minimum) up to a maximum of 36 months. A regular fellowship duration is 24 months. A stipend ranging from 5,305 to 6,586 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 future Life @CERN Get a glimpse of what it’s like to work at CERN: https://careers.cern/benefits and https://careers.cern/our-people This is how you can apply: Please provide 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 10 August 2021. I'm interested Privacy Policy I'm interested Refer a friend share this job Powered by (Data Processor) Privacy Policy and Terms of Use Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share.
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