Topic: Seamless Integration of Chemical and Biodiversity Data for Insightful Visuals

Contract limitations
limited contractContact
Your contact for any questions you may have about the job:
Prof. Dr. Jana Schor
Bio-Data Science Group
jana.schor@ufz.de

Your tasks
In this Master's thesis, a Chat Bot Python package will be developed. Large language models (LLMs) will be used and grounded with a knowledge graph of information on the researchers of our research unit, their roles, and their research, technologies, and devices. Retrieval augmented generation (RAG) will mitigate knowledge gaps, factuality issues, and hallucinations of (ungrounded) LLMs with external/domain-specific knowledge. The Chat Bot will serve as a user-friendly, human-like interface for non-computer scientists involved in strategic processes, making it easier for them to access and understand these data.

The tasks include:

• Identify relevant chemical exposure and biodiversity databases with identical/similar spatial annotation
• Develop a tool to collect these data automatically
• Develop a workflow to integrate both datasets
• Develop compelling, partially interactive visuals to demonstrate the potential impact of chemicals in our environment on changes in biodiversity

We offer

• Excellent supervision that supports your personal and professional development
• Exciting insights into the work of a leading research institute
• The chance to work in interdisciplinary, international teams and benefit from a wide range of perspectives
• The opportunity to contribute and actively shape your own ideas and impulses
  right from the start
• Modern technical equipment and IT service to optimally support your work

Your profile

• Background in Computer Science
• Solid programming skills in Python and/or R
• Experience with software development in an IDE (Jet Brains Py Charm)
• Experience with collaborative software development and agile project management with Git
• Fluent in spoken and written English

Application deadline: 15.11.2024

Diversity and Inclusion
The UFZ has a strong commitment to diversity and actively supports equal opportunities for all employees regardless of their origin, religion, ideology, disability, age or sexual identity.
We look forward to applications from people who are open-minded and enjoy working in diverse teams.

Important
Please submit your application via our online portal with your cover letter, CV (please omit your photo, age, or marital status) and relevant attachments.

Contact
Your contact for any questions you may have about the job:
Prof. Dr. Jana Schor
Bio-Data Science Group
jana.schor@ufz.de