Postdoctoral Researcher in Machine Learning

1 week geleden

Amsterdam, Noord-Holland, Nederland Universiteit van Amsterdam Voltijd
Job Summary

We are seeking a highly motivated Postdoctoral Researcher in Machine Learning to join our team at the Universiteit van Amsterdam. The successful candidate will have a strong background in machine learning and a passion for conducting innovative research.

Key Responsibilities
  • Design and implement novel methodologies for machine learning and evaluate their practical consequences.
  • Contribute to international conferences, workshops, and journals by presenting research findings.
  • Assist in teaching activities, including teaching courses and supervising master and PhD students.
  • Participate in Delta Lab 2 activities, including visits to the Bosch headquarters in Renningen, Germany.
  • Support day-to-day operations of Delta Lab 2, including updating the lab website and reporting on progress and deliverables.
Requirements
  • PhD in Machine Learning, Statistics, Computer Science, Mathematics, or a related field.
  • Experience in programming and software development, with a preference for Python and statistical computing libraries.
  • Enthusiasm for the scientific process, including formulating and conducting experiments, data collection and analysis, and disseminating findings.
  • Ability to cooperate and work effectively within a team.
  • Fluency in English, both written and spoken.
What We Offer

We offer a temporary employment contract for 38 hours per week for a period of 24 months. The preferred starting date is as soon as possible or by arrangement. The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between €3,000 to €5,000 (scale 10). UvA additionally offers an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%.

We also offer multiple fringe benefits, including holiday hours, courses to follow from our Teaching and Learning Centre, and the possibility to set up a workplace at home.

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