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Applications of Parallel and Distributed Systems

Current job openings

Your Profile

  • Are you looking for an exciting challenge in the field of data science/machine learning (ML)? 
  • Are you interested in working with data and identifying challenges in the data?
  • You are interested in developing ML approaches to address specific challenges in the data?
  • You already have basic knowledge of common ML techniques, such as clustering and classification?
  • You are interested in state-of-the-art approaches in ML, such as AutoML?
  • You like to bring in new ideas and creative solutions?
  • You have good programming skills in Python (or a similar programming language) and already have experience with libraries like Numpy, Sklearn, or Pandas?

Short description

In the context of a project we are looking for motivated students (m/f/x) to support us in the implementation and evaluation of ML approaches. The project takes place in cooperation with an industrial partner from Germany. We are investigating which challenges in data analysis typically occur in industrial use cases and how these can be specifically addressed. Among other things, we investigate how domain knowledge of the industrial partner can be used to address such challenges already before the actual analysis, i.e., in the data preparation, so that the subsequent analysis delivers more meaningful results.

Your tasks

  • Literature research around ML, i.e., especially clustering, classification, challenges for data analyses, and AutoML.
  • Development and implementation of ML concepts.
  • Evaluation of the implemented concepts.
  • Collaboration with other students and the project leader in preparing the concepts for scientific texts and presentations.

Reasons for you to apply

  • Cooperation with an industry partner in Germany.
  • Research in the field of Machine Learning and Data Science.
  • Flexible working hours and one-to-one mentoring and supervision.
  • Available infrastructure to carry out experiments.
  • It is possible to derive topics for student projects or a bachelor or master thesis which build upon the previous work during the HiWi job.


  • Programming experience in Python, Java, or a comparable programming language.
  • Basic knowledge of ML techniques, e.g., clustering and classification.
  • Interest in working with data and implementing and evaluating ML techniques.
  • Strong communication skills and the ability to work independently and creatively.


We are looking forward to your application with your resume and a current transcript of grades. Please send the documents to Dennis Tschechlov.

Application deadline

We are looking for candidates to work for a minimum of three months until the end of December 2022. It is possible and desired to extend those three months. Please apply at least one month before the beginning of your intended start month.
Contact information

Dennis Tschechlov.


This image shows Bernhard Mitschang

Bernhard Mitschang

Prof. Dr.-Ing. habil.

Head of Institute

This image shows Eva Strähle

Eva Strähle



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