Master thesis »Deep Learning based Detection and Classification of Marine Mammals«
- Deep Learning
- Other places
- 06/12/2024
- -
Fraunhofer Institute for Digital Media Technology IDMT is renowned globally for its cutting-edge research in electroacoustics, AI-based signal analysis, machine learning, and data security protocols. Located in Ilmenau, Germany, within the vibrant campus of Technische Universität Ilmenau, Fraunhofer IDMT is currently inviting applications for a compelling master's thesis topic.
You will embark on a transformative research route focusing on the acoustic behavior of marine mammals. Utilizing passive acoustic monitoring devices like hydrophones, this thesis aims to innovate deep learning methods for detecting and classifying the vocal patterns of these essential creatures. Your work will contribute to ecological efforts by aiding in the preservation of marine biodiversity and protecting endangered species.
Prospective candidates should possess a robust background in audio signal processing and machine learning, with practical experience in deep learning frameworks and version control systems like Git.
At Fraunhofer IDMT, you'll tackle sophisticated, market-related topics within an innovative team setting. We offer:
We are committed to promoting diversity and inclusivity within our workforce and encourage applications from all regardless of age, gender, background, or any other factors. Note that preference will be given to severely disabled applicants with equivalent qualifications.
If you are driven by innovation and eager to contribute to future technologies, we encourage you to apply for this thrilling opportunity.
Amir Latifi Bidarouni
Katrin Pursche
Explore more about Fraunhofer IDMT at .
Requisition Number: 73604
Application Deadline: Contact for details.
We look forward to potentially welcoming you to our team and together pushing the boundaries of digital media technology!