Computer Scientist, Mathematician, Statistician or similar

German Aerospace Center (DLR)

Jena, Germany

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The new DLR Institute for Data Science in Jena is establishing a machine learning group. You 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
  • examination of existing machine learning methods for the fusion of data from multiple sources (e.g. multimodal and multi-task models)
  • development of approaches for the exploitation of large and multimodal data sets
  • development of methods for quality assurance in machine learning models (e.g. uncertainty modeling, stability appraisal, interpretation aids)
  • 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

Suitable candidates may conduct these tasks in fulfillment of a Ph.D. degree.

Your qualifications:

  • University degree (M.Sc.) in Computer Science, Mathematics, Statistics, or related fields
  • very good programming skills, preferably in Python
  • strong background in machine learning, artificial intelligence, or related fields
  • excellent English language skills
  • experience with geo-data processing or handling of multimodal data is an asset

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (m/f/non-binary).Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.


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