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# Research Associate as Research Software Engineer § 28 Subsection 3 HmbHG

- **Company:** Universität Hamburg
- **Location:** Hamburg, Germany (Remote available)
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Information Systems, Computer Programming, Databases, Information Engineering, Data Visualization, DevOps, Elasticsearch, Python (Programming Language), Knowledge-Based Systems, PostgreSQL, Machine Learning, Software Engineering, Jupyter Notebook, Retrieval-Augmented Generation, Information Technology, Data Analytics, Machine Learning Operations, Front End Software Development, Docker
- **Published:** October 23, 2026
- **Apply:** https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=6d3a81f14dea45969317c59a7243fd5a034262b8

## About the Role

A university degree in a relevant field with a high share of data analytics and/or software development, esp. computer science, data science or information systems.

 * programming knowledge (preferably in Python)
 * experience with one or more of the following:
 + Machine Learning (esp. transformer models)
 + RAG and multi agent infrastructures
 + Databases and Data Engineering
 + Infrastructure for search
 + Knowledge-based systems
 + Data visualization
 + Frontend development
 * interest in interdisciplinary research on digitalization challenges
 * interest and expertise in interdisciplinary research
 * knowledge about Elasticsearch, Jupyter Notebooks, Docker and PostgreSQL is advantageous
 * knowledge about DevOps, MLOps and Cloud Infrastructure is advantageous

## Description

Duties primarily include research. Research associates may also pursue further academic qualifications outside of their work responsibilities.

 * consulting for scientists of all faculties about possibilities and implementations of data science and general digital solutions for research
 * requirements analysis with the prospective users (researchers of all fields)
 * planning, implementation and maintenance of data science software
 * development of all kinds of data-driven systems, all the way from advanced data analytics to multimodal transformer models
 * creation of user-friendly interfaces tied to expertise and needs of the users
 * analysis and recommendation of state-of-the-art technologies for both models and infrastructure
 * evaluation and quality assurance of the applications
 * DevOps tasks within the scope of application development
 * analysis and recommendation of state-of-the-art technologies for both models and infrastructure
 * evaluation and quality assurance of the applications
 * work at the interdisciplinary intersection within the scope of application development