Job
- Level
- Experienced
- Location
- Hamburg
- Working Model
- Onsite
- Job Field
- Data, Application
- Employment Type
- Part Time/Full Time
- Contract Type
- Temporary employment
Job Summary
In this role, you will develop cutting-edge research software, plan and maintain DATS, realize user-friendly interfaces, and evaluate new technologies to support interdisciplinary research.
Job Technologies
Your role in the team
- Aufgaben umfassen akademische Dienstleistungen im oben genannten Projekt. Forschungsmitarbeiter können auch weitere akademische Qualifikationen außerhalb ihrer Arbeitsverpflichtungen anstreben.
- 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.
- Anforderungsanalyse mit den potenziellen Nutzern (Forscher aller Fachrichtungen).
- 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.
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Our expectations of you
Education
- 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.
Qualifications
- Programming knowledge (preferably in Python).
- 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.
Experience
- 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.
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What we offer
- Zuverlässige Vergütung basierend auf Tarifverträgen.
- Weiterbildungsmöglichkeiten.
- University pensions.
- Attraktive Lage.
- Flexible working hours.
- Work-life balance opportunities.
- Health management, EGYM Wellpass.
- Bildungsurlaub.
- 30 days of vacation per annum.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Universität Hamburg
The University of Hamburg is one of the most research-intensive and innovative excellence universities in Germany. With its concept of the "Flagship University" in the metropolitan region of Hamburg, it maintains cooperative relations with scientific and non-scientific partners. It produces for the location - but also nationally and internationally - the future-oriented social goods education, knowledge and exchange of knowledge under the guiding principle of sustainability.
Description
- Founding Year
- 1919
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System, Science, Research
Research Associate
- Location
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
