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Uni. Paderborn: Paid PhD position, Machine Learning / Predictive Analytics / Data Mining


Support research projects in machine learning and data mining, help students in Kaggle competitions, help teach. Position is offered for 2 years with possible extension. This position is now closed.



Uni. Paderborn At: Uni. Paderborn
Location: Paderborn, Germany
Web: www.aisbi.de/


Executive summary
Analytic Information Systems and Business Intelligence Lab at University of Paderborn, Germany, is seeking a

Full-time PhD student in machine learning / predictive analytics / data mining

This is a paid position (German tariff E13 level 1, starting with roughly 3,300 EUR monthly before taxes and other deductions). The position is offered for two years initially with the option of extension.

This position has been closed.

Details
Analytic Information Systems and Business Intelligence lab at University of Paderborn, Germany, is an international research group founded in October 2012 and led by Assistant Professor Dr Artus Krohn-Grimberghe. The group focuses on machine learning algorithms for multi-relational data and especially on factorization algorithms and their applications e.g. in recommender systems, preference learning, or fraud detection.

The position being offered is a paid position as research assistant (German tariff E13 level 1; details here, starting with roughly 3,300 EUR monthly before taxes and other deductions). The position is offered for two years initially with the option of extension. Duties include support in research projects (e.g., detecting attacks on databases using machine learning tools; predicting which items users will like; finding out customers that are likely to churn; or engines that are likely to break down in the near future), supporting students in kaggle competitions or jobs as teaching assistant.

Qualifications:
  • The candidate should have strong programming skills in one suitable language such as Python or R or Julia or C++ or similar.
  • A thorough understanding of machine learning / data mining / analytics / data science fundamentals is required.
  • First hands on experience (such as through kaggling) is very welcome.
  • Strong personalities as well as an innate interest in doing research and working as a team is very welcome as well.
  • A suitable degree in computer science, mathematics, statistics, information technology or related is required.
  • It is expected that the candidate is eager to obtain a PhD and guidance will be given.
  • Non-German speaking candidates are expected to learn German at a reasonable level within the first year as this will make life in Germany easier.

 
Female applicants receive preferred treatment as required by German law.

This position has been closed.