Job
- Level
- Erfahren
- Ort
- Hamburg
- Arbeitsmodell
- Onsite
- Job Feld
- Data, Application
- Anstellung
- Teilzeit / Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
Job Zusammenfassung
In diesem Job entwickelst du modernste Forschungssoftware, planst und wartest die DATS, realisierst benutzerfreundliche Interfaces und evaluierst neue Technologien zur Unterstützung interdisziplinärer Forschung.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Ausbildung
- 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.
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- Reliable remuneration based on wage agreements.
- Continuing education opportunities.
- University pensions.
- Attractive location.
- Flexible working hours.
- Work-life balance opportunities.
- Health management, EGYM Wellpass.
- Educational leave.
- 30 days of vacation per annum.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Universität Hamburg
Die Universität Hamburg ist einer der führenden Forschungseinrichtungen in Deutschland und mit ihrem Konzept der "Flagship University" in der Metropolregion Hamburg bestens aufgestellt. Durch innovative und kooperative Verbindungen zu wissenschaftlichen und außerwissenschaftlichen Partnern produziert sie die zukunftsgerichteten gesellschaftlichen Güter Bildung, Erkenntnis und Austausch von Wissen unter dem Leitziel der Nachhaltigkeit - nicht nur für den Standort, sondern auch national und international.
Description
- Gründungsjahr
- 1919
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Bildungswesen, Wissenschaft, Forschung
Research Associate
- Ort
- Hamburg
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
