The Hub of Computing and Data Science (HCDS) is a competence unit for research and forms the core element for the central support of digitalization and digital transformation in research at the University of Hamburg.

Your responsibilities

Duties include academic services in the project named above. Research associates may also pursue further academic qualifications outside of their work responsibilities.

In the project “Discourse Analysis Toolsuite (DATS) you will build state of the art research software for interdisciplinary qualitative research. DATS combines methods from Natural Language Processing (NLP) and Computer Vision (CV) to analyze heterogeneous, unstructured and multimodal research data. You will systematically improve the software and add novel features based on emerging requirements.

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

Your profile

A university degree in a relevant field.

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

Jobs bei der Universität Hamburg

Jobangebote