Master Thesis
vor 3 Monaten
Topic: Automating Knowledge Capture: From Data Collection to Graph Database Storage
Contract limitations
limited contract
- Contact
**Your contact for any questions you may have about the job**:
Prof. Dr. Jana Schor
Bio-Data Science Group
The UFZ
The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission: Our research seeks to find a balance between social development and the long-term protection of our natural resources.
The job
Research groups typically consist of researchers with varying expertise levels, technicians, and students. Research institutions encompass numerous such groups across different domains, supported by additional human resources, resource management, and project oversight colleagues. As these institutions grow or the area of focus needs to shift or adjust, strategic planning and the efficient allocation of resources and competencies become increasingly complex. Questions like, "Who is working on what, with whom?" or "Who possesses which skills, and which methods, technologies, or devices are being used?" become central to strategic processes such as SWOT analyses. Experience shows that obtaining a comprehensive, bird's-eye perspective on these elements is challenging, making it difficult to formulate effective strategies.
Project title**:If we knew what we know**
The mission of this project is to create an intuitive, data-driven platform that maps employees' skills, expertise, and work methodologies, enabling our research unit, Chemicals in the Environment at the Helmholtz Centre for Environmental Research, to optimize strategic planning resource allocation, foster cross-functional collaboration, and enhance knowledge sharing for greater productivity and innovation.
The overall vision of this project is to empower our research unit with intelligent insights into our workforce, fostering data-driven strategy planning, optimized collaboration, and innovation by unlocking the full potential of employee expertise and knowledge.
The position to prepare the Master's thesis is limited to 6 months and will be supervised at the site in Leipzig.
Your tasks
In this Master's thesis, a Python package will be developed to create accessible knowledge that comprises a first goal towards our vision. Public employee data of the research unit, such as names, titles, roles, and affiliations, will be collected. In addition, all open-access publications from the last ten years will be downloaded. With the help of Large Language Models (LLMs), these data will be structured, and a knowledge graph will be developed. The knowledge will then be stored in a Graph Database, and examples of potentially relevant queries for strategic decisions are provided.
The tasks include:
- Collect publicy available data
- Develop a Python package that
- brings the data in a structured format like JSON, LLMs can be used
- extracts a knowledge graph from the structured data, human interaction might be required
- generates CYPHER queries to upload these data into a Graph Database
- Generate and provide relevant example queries to demonstrate the usefulness of the approach
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
**Profile**:
- Background in Computer Science
- Solid programming skills in Python
- Experience with software development in an IDE (JetBrains PyCharm)
- Experience with collaborative software development and agile project management with Git
- Database experience and database querying languages, preferably with graph databases and CYPHER
- Fluent in spoken and written English
Application deadline: 11.10.2024
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.
Important
Contact
**Your contact for any questions you may have about the job**:
Prof. Dr. Jana Schor
Bio-Data Science Group
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