PhD or Postdoctoral Researcher in AI for Science: Ludwig-Maximilians-Universität München (LMU), a leading research university in Europe, invites applications for a PhD or postdoctoral researcher position in the ERC-funded project “Rewriting the End of Cuneiform Civilization.” This unique opportunity combines the fields of artificial intelligence and digital humanities, focusing on the digital preservation and analysis of cuneiform sources.
PhD or Postdoctoral Researcher in AI for Science/Machine Learning
Designation
PhD or Postdoctoral Researcher in AI for Science / Machine Learning
Research Area
Digital Humanities, Assyriology, Machine Learning, Cultural Heritage
Location
Munich, Germany
Eligibility/Qualification
- PhD or Master’s degree in a relevant field (Statistics, Machine Learning, Data Science, Computer Science, etc.)
- Very good academic performance
- Proficient coding skills in Python and familiarity with collaborative tools (Git/GitHub)
- Experience with Deep Learning, particularly in computer vision (ideally 3D data), segmentation, etc.
- Familiarity with Deep Learning frameworks (e.g., Keras, PyTorch, TensorFlow)
- Fluency in English
- Experience with Natural Language Processing (NLP) and a keen interest in digital humanities or cultural heritage projects is a plus.
Job Description
- Develop and implement the Signarium platform, a comprehensive paleographic database for cuneiform signs.
- Apply Machine Learning techniques (e.g., CNNs, generative AI) to analyze and classify cuneiform signs, enabling the automatic dating of tablets.
- Collaborate with the Machine Learning Consulting Unit (MLCU) and interdisciplinary teams to refine models and ensure interpretability of results.
- Publish articles in journals or conference proceedings related to Machine Learning.
- Write a dissertation within the muniq.ai Group.
- Supervise a student assistant in Machine Learning to support tool development and annotation tasks.
How to Apply
Submit your CV, transcripts, a motivation letter (one to two pages), and one publication or a code sample (e.g., a GitHub link) in a single PDF to: sekretariat.jimenez@assyr.fak12.uni-muenchen.de
Subject: Application for PD1 (RECC Project)
Last Date to Apply
May 19, 2025
For further inquiries, please contact Prof. Enrique Jiménez at: enrique.jimenez@lmu.de.
