Computer Scientist, Mathematician, Statistician or similar - Development of Novel Approaches in Machine Learning for Small and Noisy Data

Computer Scientist, Mathematician, Statistician or similar - Development of Novel Approaches in Machine Learning for Small and Noisy Data

DLR - German Aerospace Center

Jena, Germany

Your mission:

The new DLR Institute for Data Science in Jena is establishing a machine learning group. The holder of this position will develop methods in machine learning, especially in deep learning, independent of their specific application.

Your tasks include:

  • literature research with the goal of critically assessing new experimental and theoretical methods and applying them to our applications; assessing possible problems, difficulties, and disadvantates and derive new approaches and solutions
  • identification of new fields of research under consideration of applications within DLR
  • application of existing machine learning approaches to problems within DLR
  • management and organization of research projects
  • examination of existing machine learning methods for low-resource conditions
  • development of approaches for noisy data, anomaly detection, and uncertainty modeling
  • development of methods for quality assurance in machine learning models (e.g. assessment of robustness with adversarial examples)
  • experiments to validate the developed methods
  • evaluation and interpretation of experimental results under comparison of various methods
  • implementation in prototypical algorithms
  • thorough documentation for scientific users with a special focus on researchers in other domains
  • presentation and discussion of results at national and international conferences
  • publication of results at suitable venues
  • individual organization of research and development tasks

Your qualifications:

  • University degree (M.Sc.) in Computer Science, Mathematics, Statistics, or related fields
  • Ph.D. in the corresponding area desired
  • strong background in machine learning, artificial intelligence, or related fields
  • long-term experience in research projects
  • scientific publications in relevant venues
  • excellent English language skills
  • experience in the acquisition, coordination, and execution of research projects is an asset

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© EuroJobsites 2019

EuroJobsites is a UK registered company number: 4694396 VAT number: GB 880 9055 04

Registered address: EuroJobsites Ltd, Unit 8, Kingsmill Business Park, Kingston Upon Thames, London, KT1 3GZ, United Kingdom

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