Postdocs / Research Engineer On Machine Learning - Barcelona, España - Barcelona Supercomputing Center (BSC)

Isabel García

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Isabel García

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Descripción

Job Reference:


  • 391_23_ES_AEMET_RE12/R12
    Position:
  • Postdocs / Research Engineer on machine learning and atmospheric composition (R2/RE2)
    Closing Date:
  • Monday, 30 October, 2023
    Reference: 391_23_ES_AEMET_RE1-2/R1-2
    Job title: Postdocs / Research Engineer on machine learning and atmospheric composition (R2/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, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads largescale investments and HPC provision in Europe. 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 800 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
    Key Duties
  • The main tasks of the two postdoctoral researchers include but are not limited to:
  • Reviewing the existing literature on the use of machine learning for emulating and accelerating physics-driven models.
  • Contributing in the preparation of largescale atmospheric composition datasets.
  • Designing, developing and evaluating datadriven emulators testing different types of machine learning models.
  • Exploring avenues for improving interpretability, plausibility and physical consistency of the machine learningbased predictions.
  • Publishing results in peerreviewed journals.
  • Communicating their results in workshops and conferences.
  • Participating in the intellectual life of the department.
  • The main tasks of the research engineer include but are not limited to:
  • Investigate, identify and implement appropriate machine learning models (including deep learning methods) to the tasks within the proposed projects.
  • Provide support on their development on BSC's High-Performance Computing (HPC) facilities.
  • Learning and mastering new technologies and techniques related to machine learning.
  • Contributing to scientific publications that may derive from this project.

Requirements:


  • Education
  • Essential Knowledge and Professional Experience
  • Postdoctoral researchers:
  • Demonstrated scientific expertise, including but not limited to a record of scholarly publications.
  • Good programming skills in Python or equivalent, experience with Unix/Linux and HPC environments
  • Research Engineer:
  • Experience in designing, developing and training machine learning models using machine learning libraries (Scikitlearn, Pytorch, Keras and/or Tensorflow)
  • Proficiency in scientific programming in Python, and familiarity with working in a UNIX/Linux environment
  • Knowledge on creating, manipulating and/or working with largescale datasets
  • Expertise in GPUs is not required but will be valued
  • Competences
  • Very good interpersonal skills.
  • Excellent written and verbal communication skills.
  • Ability to take initiative, prioritize and work under set deadlines.
  • Ability to work both independently and within a team.
  • Fluency in English (Spanish is optional, free lessons are available at BSC)

Conditions

  • The position will be located at BSC within the Earth Sciences Department
  • We offer a fulltime contract (37.5h/week), 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: Temporary years aprox)
  • Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
  • Starting date: ASAP

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 identit

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