Master’s thesis , Document AI and Knowledge Extraction
Published
21 May 2024
Workplace
Zurich, Zurich region, Switzerland
Category
Position
Master’s thesis
Ref. 2023_018
About us
The IBM Research Laboratory is located in Ruschlikon close to Zurich. This creates a fantastic opportunity for highly motivated Student to join our unique research-corporate environment for a Master Thesis, Semester Project or Internship.
Our team works on AI models to ingest large corpora of (PDF) documents in order to extract knowledge or use large language models to interact with (via RAG). For a detailed description, please visit our homepage or look into our recent publications.
We are actively looking for students that are interested to work in topics such as:
- Computer Vision to build foundational models for Document Understanding (eg layout-analysis, table understanding, figure-understanding).
- Natural Language Processing to enhance further our chat capabilities on and with documents.
- Natural Language Processing for knowledge extraction from text, tables and figures.
- Generative AI to create/update new documents
As an intern in our group, you will be working on a large scale platform that has ingested 500M documents and you will have the ability to apply the new model developments at scale. Furthermore, you will collaborate with experienced Research Scientists and AI Software Engineers that will lead and help you to successfully complete the challenges of the proposed task and have access to HPC and Cloud infrastructure equipped with recent variants of GPUs and many other resources and tools to perform the work.
Minimum Qualifications
Preferred Qualifications
Diversity
IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable all genders to strike the desired balance between their professional development and their personal lives.
How to apply
If you are interested to apply for this position, please submit your application through the link below.