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Postdoc in data sciences

Lieu de travailGeneva, Rue de la Tambourine 17, Région lémanique, Suisse

In a dynamic environment, directly connected to the business milieu, in particular with start-ups and SMEs, the University of Applied Sciences and Arts of Western Switzerland - Geneva (HES-SO Geneva) offers a n postdoctoral researcher position in Data Sciences allowing you to:

  • To develop skills in research-related activities
  • To demonstrate autonomy and initiative in varied activities


  • To help lead and develop the portfolio of projects in the field of large-scale data sciences according to the axes of excellence of the Business Information System research groups:
    • machine learning (e.g., deep generative models, graph networks, transformers, CNN, etc.)
    • cheminformatics (e.g., molecular graphs, SMILES, RDKit, ...)
    • Big Data analytics (e.g., unstructured data management, Elasticsearch, Spark/Hadoop, CouchDB, etc.)
  • To transfer scientific expertise of these projects into the teaching programmes of the department (Bachelor, Master)


  • PhD in a STEM field or equivalent qualification
  • Proven experience in the field of data science (machine learning, graph algorithms/networks, Big Data analytics, etc.)
  • Excellent publication record in the machine learning and/or cheminformatics fields
  • Experience in research with participation in projects of national or international scope (SNF, EU FP7, H2020, ...)
  • Excellent programming skills in Python (PyTorch, Tensorflow, Keras, ...)
  • Interest in university-level education, sense of human relations and ability to integrate into a team
  • Flexibility, autonomy and organization
  • Communication and writing skills in English

Nous offrons

The grade level is class 15 - annuity 4 for holders of a Master’s degree (or higher qualification)
  • Salary around CHF 92’000

Contact et adresse

  • Complete application form, including cover letter, 2 reference letters, curriculum vitae, photocopies of work certificates, photocopies of diplomas and most recent grades, should be sent by e-mail only to

  • Files sent by mail and/or incomplete applications will not be processed



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