Research Associate Intelligent Signal Processing for Railway IoT 80 – 100 %

As part of our research team, you will play a central role in applied research projects on AI for intelligent machine health. • You will develop innovative methods using state-of-the-art signal processing, machine learning, and deep learning techniques, and publish your results in scientific journals and conferences. • You will combine engineering knowledge with advanced signal processing and data science approaches. • You will design and implement algorithms for early detection and diagnostics of failures in railway systems. • You will collaborate closely with industry partners to transfer and deploy developed algorithms in real operational environments. • Your work will primarily focus on algorithm research and development, with relatively limited data engineering or management tasks. • You will have the opportunity to co-supervise student research projects and contribute to the development of junior researchers. • You will be supported by experienced colleagues, enabling you to further develop your technical and scientific expertise. The position offers a high degree of flexibility and autonomy in your daily work.You will join a dynamic and rewarding research environment that combines multidisciplinary innovation with strong industrial collaboration.The position is initially limited to two years, with the possibility of extension up to a maximum of three years.

You hold a Master's or PhD degree in Engineering, Physics, Computer Science, Statistics, Applied Mathematics, or a related field. • You possess strong knowledge and hands-on experience in signal processing, including methods such as Fourier, Wavelet, and Hilbert transforms. Experience in audio signal processing is considered an advantage. • You have programming experience in Python; familiarity with TensorFlow, Keras, or PyTorch is a plus. • You have experience applying data analytics and machine learning techniques; experience with deep learning algorithms is advantageous. • Experience working with real-world, unsupervised data environments is beneficial. • You demonstrate strong written and verbal communication skills in English. • You are curious and motivated to develop new methods and algorithms and apply them in real industrial systems. • You are eager to develop your research skills under the guidance of experienced researchers. • We welcome applications from proactive and self-motivated candidates who demonstrate strong analytical thinking, excellent problem-solving abilities, effective communication skills, and originality in their approach.