Research Associate - Statistics and Data Science | Wissenschaftliche*r Mitarbeiter*in - Statistik und Data Science 25/Sa15

Universität Greifswald Land MV

Greifswald, Hansestadt, Mecklenburg-Vorpommern, Deutschland
Published Jul 1, 2025
Full-time
Fixed-term

Job Summary

Join the Machine Learning Group at the University of Greifswald's Institute for Data Science as a Research Associate, focusing on the cutting-edge field of Graph Neural Networks (GNNs). This role involves developing novel GNN algorithms to tackle fundamental challenges like dynamics, oversmoothing, and expressivity, which currently hinder their practical application. You will conduct simulations, evaluate algorithms using statistical methods, and publish research findings in journals and at conferences. The position is ideal for someone pursuing a doctorate or similar qualification. Key requirements include a strong academic background in Computer Science or a related field, excellent programming skills, and a solid understanding of Machine Learning and Deep Learning fundamentals. This is an exciting opportunity to contribute to a rapidly evolving research area within a supportive and collaborative environment, utilizing a dedicated high-performance computing cluster.

Required Skills

Education

Master's degree or equivalent in Computer Science or a closely related discipline, with at least a good grade. Doctorate in Computer Science is desirable if pursuing Habilitation.

Experience

  • Scientific services in research and teaching
  • Experience in developing algorithms for Graph Neural Networks
  • Experience in conducting simulations for algorithm evaluation
  • Experience in publishing research results in journals and at conferences
  • Professional experience in organizational and representative tasks

Languages

German (Basic)English (Fluent)

Additional

  • Eligible for promotion or comparable qualification (e.g., Habilitation). Must be able to work independently and goal-oriented. Must be a team player with excellent communication skills. Position is suitable for part-time work. Befristet (fixed-term contract) for 36 months with option for extension.