The Hub of Computing & Data Science (HCDS), University of Hamburg, is looking for a motivated student assistant (m/f/d) with a strong interest in modern web frameworks and curiosity in Natural Language Processing (NLP) to assist us with the frontend development of a web application for social scientists.
Finding, examining, and describing complex phenomena of modern societies is of great interest to social scientists. However, the flood of information available on a given topic is more than humans can digest. Fortunately, state-of-the-art artificial intelligence can assist!
The HCDS is building the Discourse Analysis Tool Suite (https://github.com/uhh-lt/dats), which aims to leverage AI models to enhance the workflow for various tasks in social and cultural science research.
Tasks:
Implement various features as React components, e.g.:
Core functionalities like project & user settings, authorization,
Corpus linguistics features (e.g., KWIC, co-occurrences, frequencies)
Interactive visualizations (e.g., network visualizations of entities)
Annotation features (e.g., social media, audio, and video interfaces)
Table visualizations for plain statistics (e.g., heatmaps)
Work together with backend developers to bring features to our users
Work together with our project partners and users to improve usability
(Once you are comfortable with the project, we discuss what features you'd like to work on.)
Requirements:
Fluency in English or German
Frontend experience with: React, TypeScript, Git, HTML & CSS
Team player
Tech Stack:
Frontend - React, TypeScript, MUI, React Router, Tanstack Query, Redux, …
Backend - Python, FastAPI, PostgreSQL, Elasticsearch, Redis, RQ, …
AI & NLP - Python, vLLM, Ray, spaCy, PyTorch, …
Stellenmerkmale
Dein Beschäftigungsumfang
Teilzeit (befristet)
Dein Gehalt
Nach Vereinbarung
Dein Arbeitsplatz:
vor Ort
Dein Büro:
Raum Hamburg
Ansprechpartner:in
Bei Fragen
Herr Tim Fischer
Website
externer Link