Beschreibung
* You will design, implement, and maintain backend solutions for GIS-based applications and data space architectures, creating added value for our partners in building a more sustainable and resilient society.
* In coordination with experts and end-users, you will develop secure, interoperable data-sharing solutions for communities, enabling better decision-making in the context of climate change and long-term societal resilience.
* You will bring your experience in developing complex distributed software systems to conceive and implement innovative solutions, leveraging your proficiency in Python, Angular or React, or building and deploying scalable services.
* You'll play a key role in designing and implementing knowledge graph storage, querying, and reasoning systems using technologies such as RDF, SPARQL, OWL, GraphDB or similar.
* You will integrate solutions with data spaces aligned to Gaia-X, IDSA, or similar standards, ensuring secure, interoperable, and trusted data exchange between stakeholders.
* You support ongoing communication with stakeholders.
* Your innovative solutions and methods, tailored to user requirements and distinguished by technological and scientific excellence are proven in practice and successfully used in demonstrations.
* You continuously expand your network in the national and international community and actively pass on your knowledge internally to colleagues and students.
* You publish your results in journals and present them at events and scientific conferences.
Your qualifications as an Ingenious Partner:
* Completed university degree (BSc or MSc), preferably in computer science, data science, computer engineering or similar
* Strong proficiency in Python, Angular/React, and Java for application development and deployment
* Experience with backend frameworks such as Spring Boot, Django, FastAPI, or Node.js
* Experience with geoinformation systems such as ArcGIS, QGIS
* Solid knowledge of relational (e.g.MySQL) and NoSQL databases (e.g. MongoDB) for efficient and flexible data management
* Well-developed expertise in knowledge graph technologies (e.g., RDF, SPARQL, OWL, GraphDB (Neo4j)) and semantic web standards
* Basic understanding of Machine Learning and AI concepts, such as NLP, LLMs, and vector databases
* Ability to work in a team, flexibility and commitment
* Very good knowledge of written and spoken in German and English
What to expect:
The minimum gross annual salary on a full-time basis (38,5 h / week) according to the collective agreement is EUR 59.934,--.The actual salary will be determined individually, based on your qualifications and experience. In addition, we offer company benefits, flexible working conditions, individual training and career opportunities.
At AIT diversity and inclusion are of great importance. This is why we strive to inspire women to join our teams in the field of technology. We welcome applications from women, who will be given preference in case of equal qualifications after taking into account all relevant facts and circumstances of all applications.
Please submit your application documents including your CV, cover letter, certificates and contact details of at least 2 references, online:
https://jobs.ait.ac.at/Job/256880
For further information please contact:
DI Ghazal Etminan, Ghazal.Etminan(at)ait.ac.at