Job
- Level
- Experienced
- Location
- Jena
- Working Model
- Onsite
- Job Field
- Application, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will address scientific questions in GeoAI, develop and test methods for annotating large text corpora, and implement data science techniques for quality assurance using LLMs.
Job Technologies
Your role in the team
- Participation in the DFG project GeoMMCorpus+Eval (https://gepris.dfg.de/project/575831912).
- Introduction to the current state of research in the field of GeoAI, e.g., multilingual geo-parsing, creation and annotation of geographic text corpora, as well as LLM-based annotation and quality assurance procedures.
- Design of scientific methods and workflows for the acquisition, processing, selection, and annotation of large, heterogeneous, and multilingual text data sets.
- Development and application of data science methods for extracting, cleaning, filtering, and structuring large multilingual text corpora from various text genres, such as websites, news, social media, scientific publications, and historical documents.
- Planning experimental studies on LLM-assisted annotation and iterative quality assurance with human-in-the-loop procedures.
- Design and application of appropriate quality metrics to evaluate the results.
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Our expectations of you
Education
- Completed academic university degree (Master / Diplom Uni) in the field of Computer Science, Data Science, Geoinformatics, Computational Linguistics, or in another relevant study program for the position.
Qualifications
- Ability to independently and responsibly handle scientific questions as well as to systematically plan, conduct, and evaluate scientific experiments.
- Excellent spoken and written English skills.
- Knowledge in the field of geoinformation processing, GeoAI, or geographic information extraction from texts is advantageous.
Experience
- Solid knowledge and practical experience in the fields of Natural Language Processing, Information Extraction, and Machine Learning.
- Experience in working with Large Language Models (LLMs), particularly in their application and customization, e.g., through Prompting and Fine-Tuning.
- Programming experience in Python as well as experience with relevant software development and version control tools, e.g., Git.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Deutsches Zentrum für Luft- und Raumfahrt eV.
As one of the leading research centers in the field of aerospace in Germany, DLR offers its approximately 8,700 employees the unique diversity of topics in aviation, spaceflight, energy, traffic, security and digitalization.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Agriculture, Silviculture
Employer reviews
by devworkplaces.com
Total
(1 Review)3.4
Workingconditions
4.2Career Growth
2.8Engineering
3.1Culture
3.5
Computer scientist in the field of GeoAI
- Location
- Jena
- Working Model
- Onsite
- Diversity
- Open for all genders
