Research Associate (Wissenschaftliche Mitarbeiterin/ Wissenschaftlicher Mitarbeiter) | Wissenschaftliche Mitarbeiterin/ Wissenschaftlicher Mitarbeiter (m/w/d)

Universität des Saarlandes Dezernat Personal

Saarbrücken, Saarland, Deutschland
Published Dec 19, 2025
Part-time
Fixed-term

Job Summary

The University of Saarland is seeking a highly motivated Research Associate to join the Chair of Business Administration, specifically focusing on Information Systems in the Service Sector. This role is crucial for advancing research in efficient algorithms and model architectures aimed at reducing computational, storage, and energy consumption. Day-to-day responsibilities include developing and evaluating these efficient algorithms, building and optimizing high-performance AI computing infrastructures, and collaborating across AI, systems engineering, and hardware domains. The successful candidate will be expected to publish research findings and contribute to demonstrators and prototypes. Key qualifications include a Master's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field, along with strong experience in efficient Deep Learning techniques or system-level optimization for Edge-AI/embedded ML. This position offers a secure, future-oriented workplace with flexible working models and opportunities for professional development.

Required Skills

Education

Master's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field

Experience

  • Experience in Efficient Deep Learning (e.g., Quantization, Distillation, compact architectures)
  • Experience in System-level optimization, energy-saving hardware, Edge-AI, or embedded/accelerator-based ML
  • Professional experience with ML frameworks (PyTorch, TensorFlow)
  • Solid experience in Python programming

Languages

German (Basic)English (Fluent)

Additional

  • Foreign university degrees require proof of equivalence with a German degree (ZAB); Job is initially limited to 1 year; Position is part-time (50%) to full-time (100%)