Master Thesis
vor 1 Woche
Artificial Materials Intelligence (AMI) division at the Institute of Energy and Climate Research - Theory and Computation of Energy Materials (IEK-13) focuses on innovative electrochemical energy materials. We are developing a platform which analyzes, categories, and visualizes materials data. Our approach facilitates obtaining scientific and commercial energy data from databases. Embedded algorithms combine sophisticated analytics with conventional materials data to provide high-value knowledge and instructive visuals showing technology gaps.
**Your Job**:
This project aims to leverage the advancements of deep learning approaches to enable automated data extraction from the scientific and technical documents. Crucial parts of the data extraction module are:
- Document processor
- Document categorization
- Content classification/recognition (e.g. figures, tables)
- Data extraction from figures (e.g. Conversion of graphs into arrays of tuples) and tables
- Document sorting and summarization
The successful MSc applicant will
- develop and maintain optimal data pipeline architecture
- collect large and heterogeneous data sets (including images, text, and numerical data)
- construct the infrastructure essential for effective data extraction, transformation, and loading
- improve the table extraction module built by a previous master's student
**Your Profile**:
- Background education and current master studies in Engineering, Computer Science, Mathematics, Physics, Chemistry, AI/ML or related disciplines
- Previous experience with image processing, document processing, database management, NLP and ML algorithm would be an asset
**Our Offer**:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change We support you in your work with:
- A diverse and highly motivated working group of international character within one of the largest research institutions in Europe
- Interdisciplinary work combining materials science computer science, and engineering
- Excellent technical equipment and the newest technology
- Flexible working hours
- The position is initially for a fixed term of 10 months but can be negotiated based on needs
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