MPA: 3 Postdoc Positions – Model-Based Machine Learning 1169 views

Max Planck Institute for Astrophysics (MPA) invites applications for 3 Postdoctoral Positions – Model-Based Machine Learning. The project is part of an interdisciplinary collaboration between the MPA and two industrial companies located in Bavaria. The project seeks to develop a self-learning and self-organizing feedback control system which can be applied to different projects in astrophysics and industry.

Starting date: immediately

Requirements:

  • Applicant must hold PhD in scientific computing, applied mathematics, artificial intelligence or within the big data domain.
  • Applicant must possess expert level experience with Bayesian inference, classification or machine learning
  • Applicant must hands-on experience with computational algorithms and optimization methods; strong programming skills in statistical languages/packages, such as Python, R, C++ with a focus on numerical efficiency
  • Applicant must have strong software development experience in object-oriented programming; experience in big data computing/parallelization; oral and written communication skills in German
  • Good English language skills are required for all team members.

Duration: fixed term of up to 3 years

Remunerations: salary is based on the German federal public service scale.

Applications:

  • Send application via online platform. Application must include:
  • brief description of past projects
  • copies of University degrees/records
  • CV
  • Names of references
————–Quick Overview————-
Organization Max Planck Institute for Astrophysics
Fellowship Level Postdoctoral
Country Germany
Subject areas Scientific Computing, Applied Mathematics, Artificial Intelligence
Fellowship amount Varies
Eligibility Open to all nationalities
Deadline 31 July 2017
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