Praktika
AI-Powered Funding Intelligence, Agentic AI & Strategic Analytics for European Innovation Programs Internship (F/M/D)
Facing the challenges of our time
Help us grow and be more impactful!
Your mission
European funding programmes generate vast amounts of information, including funded projects, evaluation criteria, consortium structures, publications, patents and technology roadmaps. However, this information is largely unstructured and difficult to exploit effectively at scale. We are seeking a highly motivated Master's student to develop an AI-powered Funding Intelligence Platform that automatically collects, structures and analyzes European innovation data. The project will combine web scraping, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Knowledge Graphs and Agentic AI to transform fragmented information into actionable insights.
Your responsibilities
- Develop web-scraping and automated data collection pipelines.
- Aggregate, clean and structure large volumes of heterogeneous data.
- Apply NLP and LLM techniques to analyze unstructured documents.
- Build semantic search and RAG-based intelligence systems.
- Develop Knowledge Graphs linking projects, organizations, technologies and funding programmes.
- Design agentic AI workflows for autonomous information gathering and analysis.
- Perform statistical, predictive and causal analyses to identify success factors.
- Create dashboards and visual analytics tools supporting proposal strategy and consortium building.
- Generate actionable recommendations from large-scale funding and innovation data.
Your profile
- Currently pursuing or recently completed a Master's degree in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, Engineering or a related field.
- Strong programming skills in Python
- Experience in machine learning and data analytics.
- Familiarity with NLP and Large Language Models.
- Knowledge of databases and data engineering concepts.
- Knowledge of LangChain, LlamaIndex, CrewAI, LangGraph, AutoGen or similar Agentic AI frameworks.
- Familiarity with cloud AI services and modern AI infrastructures.
- Strong foundations in mathematics, statistics and probability theory.
- Understanding of statistical inference and hypothesis testing.
- Familiarity with correlation analysis and predictive modelling.
CSEM mission and values
We believe in a future that is imagined, shared, and created TOGETHER.
At CSEM, we don’t just innovate; we envision technologies that shape tomorrow.
Since 1984, our purpose has remained constant: to harness science and technology for the benefit of society. Today, with over 650 people across Switzerland, we remain committed to our mission: to develop and transfer world-class solutions in digital technologies, precision manufacturing, and sustainable energy systems. In doing so, we empower Swiss industry to innovate and remain competitive.
Our strength is the excellence of our people. We believe that strong values support the successful development of our organization as well as the harmonious and balanced development of all our employees.
We are
- A unique place between research and industry at the cutting edge of new technologies
- An innovative, non-profit, and employee-driven company
- A dynamic, multidisciplinary, and multicultural environment
- A solar team focused on enabling solutions to energy challenges for a sustainable world
Working@CSEM means
- being part of a passionate community
- incredible flexibility, attractive working conditions, and great opportunities of development
- benefit from a management style based on trust & feedback and that favors a work-life balance
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity.
We look forward to receiving your complete application file via (CV, cover letter, certificates & diplomas) our job page. Preference will be given to professionals applying directly.