For our client based in Zurich (CH) we’re urgently looking for a AI & Knowledge Management Support (Master Student) (m/w/x) with following details:
General Information:
- Duration 2-4 months, with option to extend depending on project needs
- Workload 40 to 80%, flexible, expected maximum of 80%
- Location: Zurich / remote (hybrid)
Tasks & Responsibilities
We are looking for a highly motivated Master student to support strategic AI and Knowledge Management initiatives within a global biopharmaceutical environment. The role will work closely with the MSAT Knowledge Management Lead and contribute to the design and deployment of the AI Academy, Data Academy, Process Wiki / Knowledge Navigator, and related AI-enabled knowledge solutions.
The assignment is ideal for a student who enjoys building at the intersection of AI tools, knowledge management, knowledge graph design, information architecture, and user-centric digital product design.
AI Academy & Data Academy development:
- Support the design of learning pathways, training curricula, capability frameworks and bootcamp concepts.
- Develop practical learning & workshop materials, exercise templates and reusable academy content.
- Research emerging AI tools and translate relevant use cases into MSAT-oriented training examples.
- Create AI use case catalogues, prompt examples and practical demonstrations for knowledge work, data work and process intelligence.
- Support launch communication, stakeholder updates and executive-ready summaries.
Process Wiki / Knowledge Navigator:
- Support the design of a modern digital knowledge infrastructure for process knowledge, process data and modelling-related content.
- Create intuitive navigation structures & page concepts
- Develop page mock-ups, wireframes and proof-of-concept knowledge portal designs.
- Improve discoverability through taxonomy, metadata and search-oriented content structuring.
- Contribute to the integration concept for multiple knowledge sources into a unified knowledge navigator experience.
AI tools, knowledge graphs and agentic knowledge solutions:
- Apply AI productivity tools such as Microsoft Copilot, Cowork or comparable AI assistant platforms to accelerate content creation, knowledge structuring and prototyping.
- Support conceptual knowledge graph design by defining entities, relationships and metadata patterns across documents, processes & systems.
- Evaluate approaches for semantic search, retrieval-augmented generation and AI-assisted knowledge retrieval.
- Contribute to concepts for Copilot / Cowork-based assistants, process wiki agents and AI-enabled knowledge workflows.
- Document design decisions, assumptions and recommendations in a structured and reusable way.
Web page creation, UX and visual design:
- Design clean, user-friendly web pages and knowledge portal layouts.
- Apply principles of information architecture, UX/UI design and visual storytelling.
- Create clickable prototypes or lightweight demonstrators where appropriate.
- Support SharePoint Online page design and modern web content structuring.
- Translate complex knowledge and data concepts into accessible, visually clear user experiences.
Must Haves
- Education:
- Currently enrolled in a Master programme at ETH Zürich preferably in the field of Computer Science, Data Science, Information Systems, Computational Science, Knowledge Engineering, Digital Design or a related field.
- Technical experience. Practical experience in several of the following areas is recommended:
- Generative AI and large language model usage in real work scenarios.
- Microsoft Copilot, Cowork or comparable AI assistant / agent platforms.
- Knowledge graphs, semantic models, taxonomies or metadata modelling.
- RAG architectures, semantic search or AI-enabled knowledge retrieval.
- Web page creation and design using HTML, CSS, JavaScript or modern web frameworks.
- SharePoint Online, Microsoft 365 or enterprise collaboration platforms.
- UX/UI design, wireframing and user journey development.
- Python, data visualisation or graph database concepts are a plus
- Personal Profile:
- Curious about the future of AI, knowledge management and digital transformation.
- Able to structure ambiguous topics and translate them into executable work packages.
- Comfortable working independently while aligning frequently with stakeholders.
- Strong visual communication and storytelling skills.
- Interest in biopharmaceutical manufacturing, process intelligence and enterprise knowledge systems.
- High attention to detail, with the ability to make complex knowledge accessible and easy to reuse.
Did we catch your interest?
The SimplyVision-Team is looking forward to receive your application (Word file is highly appreciated).
Kindly be informed that our customer is located in Switzerland. Therefore only applications from candidates within the EU or candidates holding Swiss work permission are required.
