Scientific Project Associate with a

vor 3 Wochen

Linz, Österreich Competence Center CHASE GmbH Vollzeit

CHASE is a European Research and Technology Organisation for Chemical Systems Engineering with its headquarters in Austria. In interdisciplinary and transdisciplinary partnerships with renowned universities, successful companies, and committed stakeholders, our organization supports companies in the fields of chemistry, pharmaceuticals, polymer processing or biotechnology to innovate processes and produce everyday products in a more efficient and more eco-friendly way.

Aufgaben
- Design, development, and implementation of a knowledge base and assistant system.
- Digitization and structuring of domain-specific knowledge into the knowledge base.
- Development and implementation of tools for knowledge sharing and dissemination across the organization.
- Data analysis and visualization, as well as collaboration with data science experts.
- Participating in the dissemination of results in an academic context.
- Reporting regularly to project management regarding the progress of the project.

Qualifikation

**Your expertise**:

- Master's or diploma degree in Media & Communication, Computer Science, Information Science, or a related field.
- Experience working with knowledge bases, databases, and knowledge management systems.
- Understanding of information architecture and UX principles.
- Proficiency in data analysis and visualizations (e.g., in Python).
- Excellent organizational and problem-solving skills.
- Ability to collaborate effectively with cross-functional teams and stakeholders.
- Strong communication skills, both verbal and written, along with good English language skills.
- A working knowledge of the data sciences (including NLP), project management (SCRUM), and software architecture is a plus.

We are committed to providing a framework for professional growth.

**In this spirit, we offer**:

- State-of-the-art research infrastructure with a focus on digitization (Industry 4.0).
- Excellent working atmosphere and strong ties to and interactions with academia.
- Additional training in diverse fields such as experimental design, machine learning, or project management.

**Application deadline**: October 13, 2023.

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