Senior Research Engineer - Barcelona, España - Barcelona Supercomputing Center (BSC)

Isabel García

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Isabel García

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Descripción

Job Reference:


  • 111_23_CS_DCC_RE2
    Position:
  • Senior Research Engineer
  • Machine Learning Operations (RE2)
    Closing Date:
  • Friday, 31 March, 2023
    Reference: 111_23_CS_DCC_RE2
    Job title: Senior Research Engineer
  • Machine Learning Operations (RE2)
    About BSC
  • The Barcelona Supercomputing Center
  • Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is a hosting member of the PRACE European distributed supercomputing infrastructure. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 770 staff from 55 countries.
  • Look at the BSC experience:
  • BSC-CNS YouTube Channel
  • Let's stay connected with BSC Folks
  • We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research.
    Context And Mission
  • The Data-Centric Computing (DCC) group from the computer science department at the Barcelona Supercomputing Center is searching for 1 Research Senior Engineer on Machine Learning Operations and High-Performance Computing, willing to work on MLOps research and support for research in an EU project for the course

Key Duties

  • Assist with research projects, experiments, and technology deployments
  • Participate in research outcomes (papers, publications, demos, and prototypes)
  • Assist Ph.
D. Students with HPC topics

  • Contribute to collaborations with different international research partners
  • Give mutual support to other researchers in the project and research groups

Requirements:


  • Education
  • M.Sc. on Computer Sciences, Computer Architecture or equivalent
  • Essential Knowledge and Professional Experience
  • Minimum 5 years of experience in the field
  • Preferable Ph.
D. studies, towards having experience as a PreDoc and acquiring experience as PostDoc

  • Domain on Data Analytics, High-Performance Computing, and Distributed Learning topics (e.g., Federated Learning)
  • Scientific papers (conference and journal) preparation, publication, and dissemination
  • Additional Knowledge and Professional Experience
  • Basic skills in Big Data platforms and technologies (e.g., Spark, Ray, and Flink)
  • Skills in Data Analytics, Distributed Machine Learning, and databases
  • Skills in Cloud and Serverless Computing technologies
  • Skills in Reproducible Research (e.g., Notebooks and GIT)
  • Understanding of highperformance computing and distributed system concepts
  • Competences
  • Good English communication skills
  • Ability to work independently and in the context of a team/project
  • Flexible work schedule and availability for traveling

Conditions

  • The position will be located at BSC within the Computer Sciences Department
  • We offer a fulltime contract, a good working environment, a highly stimulating environment with stateoftheart infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
  • Duration: Openended contract due to technical and scientific activities linked to the project and budget duration
  • Starting date: 01/04/2023

Applications procedure and process- A full CV in English including contact details

  • A Cover Letter with a statement of interest in English, including two contacts for further references
  • Applications without this document will not be considered


At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.

For more information follow this link


DeadlineOTM-R principles for selection processes**- BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.

  • For more information follow this link

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