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

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

Aufgaben

• 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.

Anforderungen

• 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.

Ausbildung

University

Benefits

We offer working conditions and terms of employment commensurate with higher education institutions and actively promote personal development for staff in leadership and non-leadership positions. A detailed description of advantages and benefits can be found at Working at the ZHAW. The main points are listed below: