Scientist (m/f/d) in the field of GeoAI-with a focus on multilingual geo-parsing

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Scientist (m/f/d) in the field of GeoAI-with a focus on multilingual geo-parsing

Job Description

Req ID: 6423

Place of work: Jena

Starting date: frühestmöglich

Career level: Graduates, Experienced professionals

Type of employment: Part time, Full-time

Duration of contract: bis zu 3 Jahre

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund).

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

The Institute of Data Science in Jena supports all of the DLR’s areas of application (aviation, space, energy, transport, security) with data science concepts, methods and tools. To this end, methods with a focus on applications are researched and developed through interdisciplinary collaboration. The results are put into practice in cooperation with other DLR institutes and external partners.

The research and development work carried out by the Data Acquisition and Mobilization department (DMO) is aimed at providing high-quality data for industry and academia. The key challenges here are usability, availability and access. These challenges form the basis for the department’s key priorities, in particular the development of effective methods to ensure data quality during data collection, the exploitation of previously untapped data sources, and the creation of effective and target-group-oriented data access.

The research objective of the Multimodal and Spatial Information Retrieval (DMO-MIR) group is to make unstructured, multimodal and heterogeneous data usable. The group conducts research into practical methods and develops modular software for the collection, processing, filtering, geolocation and content evaluation of unstructured data. The aim is to make data that was previously not machine-readable usable as a source of information for various DLR applications, as well as for decision support.

Your tasks

Contribution to the DFG project GeoMMCorpus+Eval (https://gepris.dfg.de/project/575831912)

Familiarisation with the current state of research in the field of GeoAI, e.g. on multilingual geo-parsing, the creation and annotation of geographical text corpora, and LLM-supported annotation and quality assurance procedures

Designing scientific methods and workflows for the extraction, processing, selection and annotation of large, heterogeneous and multilingual text datasets

Development and application of data science methods for the extraction, cleaning, filtering and structured processing of large multilingual text corpora from various text genres, such as websites, news articles, social media, academic publications and historical documents

Planning experimental studies on LLM-assisted annotation and iterative quality assurance using human-in-the-loop methods

Design and application of suitable quality metrics for evaluating the results

Qualifications

A completed academic degree (Master’s / University Diploma) in Computer Science, Data Science, Geoinformatics, Computational Linguistics or another relevant field of study

In-depth knowledge and practical experience in the areas of natural language processing, information extraction and machine learning

Experience in working with large language models (LLMs), particularly in their application and customisation, 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

Knowledge and experience in the processing and analysis of large and heterogeneous text datasets

Ability to work independently and autonomously on scientific research questions, as well as to systematically plan, carry out and evaluate scientific experiments

Very good written and spoken English

Knowledge in the field of geoinformation processing, GeoAI or geographical information extraction from texts is an advantage

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 6423) please contact:

Dr. Friederike Klan

Tel.:

Apply now

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