Join a groundbreaking collaborative research project focused on mapping and monitoring aquatic life, essential for understanding ecological shifts due to climate change. This position is ideal for individuals interested in applying advanced data science techniques to enhance the study of aquatic ecosystems.
PhD / PostDoc / Research Engineer Position in the AqQua Project: Building a Foundation Model of Aquatic Life
Designation:
PhD Student / PostDoc / Research Software Engineer
Research Area:
Aquatic Life Foundation Project, focusing on biological carbon pumps, planktonic diversity, and ecological sustainability.
Location:
MDC Berlin-Mitte, Germany
Eligibility/Qualification:
- PhD or MSc in Computer Science, Physics, Mathematics, or a related discipline
- Experience with large-scale High-Performance Computing (HPC) is advantageous
- Strong interest in AI and ecological research is preferred
Job Description:
The successful candidate will be involved in:
- Exploring, benchmarking, and devising self-supervised learning paradigms for plankton imagery
- Engineering advanced architectural components and workflows for efficient foundation model training and fine-tuning
- Developing data curation and balancing schemes
- Rigorously assessing model scaling and generalization behavior
- Rolling out the model to the global user community
How to Apply:
Interested applicants should use the online portal to submit their application, which should include:
- A cover letter
- CV (without photo, age, and information about family status)
- Transcripts of record and any other relevant documentation
For applicants for a PhD position with a foreign degree, please submit proof of degree recognition in Germany via the anabin database as a PDF attachment to the application.
Last Date to Apply:
April 25, 2025
Commitment to Equity, Diversity, and Inclusion:
MDC values diversity and aims to foster an inclusive environment. We welcome applications from diverse backgrounds and particularly encourage applications from severely disabled individuals.
