Research Associate for PhD in Tandem Model (LLMs in Data Engineering) | Wissenschaftliche Mitarbeiterin oder Wissenschaftlicher Mitarbeiter zur Promotion im Tandem-Modell

Hochschule für Technik, Wirtschaft und Kultur Leipzig

Leipzig, Sachsen, Deutschland
Published Sep 15, 2025
Full-time
Fixed-term

Job Summary

This role offers a unique opportunity for a research associate to pursue a PhD in Data Engineering, focusing on the integration of Large Language Models (LLMs) into energy trading environments. The position is structured as a tandem model, with 50% of the time dedicated to academic research at HTWK Leipzig and 50% to practical application at Optimax-Energy GmbH, a leading player in international power trading. The successful candidate will research, develop, and test data engineering methods, leveraging low/no-code approaches and LLMs to simplify the integration of heterogeneous data sources and knowledge bases. Key responsibilities include automating data workflows, enhancing data infrastructure transparency, and exploring AI's role in data mapping, anomaly detection, and data repair. This position is ideal for someone passionate about applying scientific insights to real-world challenges in a dynamic, green energy-focused environment.

Required Skills

Education

Master's degree or equivalent in Computer Science, Artificial Intelligence, Data Science, (Applied) Mathematics (with a focus on Computer Science), or a related field

Experience

  • Professional project experience in Data Engineering or Data Science (e.g., through previous professional activities, research projects, internships, or relevant academic work)
  • Initial experience in Data Science, Prompt Engineering, Machine Learning (especially LLMs), AI-powered systems, data-driven software development, web service development, or energy market/trading is desirable

Languages

English (Fluent)

Additional

  • Fixed-term contract until October 31, 2028