Data Scientist for Transfer Learning in Maritime Sensor Systems
vor 1 Monat
Unlock the Future of Maritime Sensor Systems with DLR
At the German Aerospace Center (DLR), we are shaping the future of research and innovation. With our unique infrastructure and expertise, we offer a dynamic and inspiring work environment. Join us in developing sustainable technologies and contributing to solving global challenges.
We are seeking a highly skilled Data Scientist to work on a DLR-DAAD Doctoral Fellowship, focusing on Transfer Learning for Variable Underwater Sensor Setups. As part of our interdisciplinary research team, you will develop next-generation security technologies and drive innovation in the field of maritime sensor systems.
Key Responsibilities:
- Develop and implement state-of-the-art machine learning and data processing methods for underwater sensor data
- Collaborate with our team of scientists to select, analyze, and implement current approaches and methods from the scientific machine learning and deep learning communities
- Plan and execute data gathering campaigns in maritime environments
- Compare algorithms concerning the impact of altered input data parameters and publish research at international conferences and in journals
Requirements:
- Master's degree in Computer Science, Data Science, Mathematics, Natural Sciences, or similar fields
- Excellent knowledge of modern programming paradigms, including object-oriented and functional languages
- Experience in deep learning approaches and proficiency in languages such as C++, Python, Java, Scala, Haskell, and Rust
- Strong analytical and creative thinking skills for solving complex problems
- Team-minded, communicative, and cooperative
- Proficiency in English, both written and spoken
- Experience in research projects with partners from industry and academia
- Experience in managing larger data sets and publishing research papers
About DLR:
DLR stands for diversity, respect, and equality for all. We promote independent work and individual development in a personal and professional environment. Our numerous training and further education opportunities are available to you. We are committed to promoting women in science and leadership and prefer applications from people with disabilities when equally qualified.
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