If you really want to make a difference – make it with us Siemens Mobility is a separately managed company of Siemens AG and has been a leading supplier in the field of mobility for over 160 years. Our core business includes rail vehicles, rail automation and electrification solutions, turnkey systems and related services. We have always been very innovative in making traveling faster, safer and more comfortable. Today, we need new solutions to new challenges such as climate change and rising populations worldwide. That's what drives us. That's why we shape mobility with passion, always being one step ahead. Through digitalization, we make infrastructures smart and create opportunities that get us from A to B sustainably and seamlessly. Our 38,200 employees are pioneers in mobility who help to keep the world moving. Your new role – challenging and future-oriented We are seeking a highly motivated master's student to join our research team for a thesis project on anomaly detection using self-supervised learning techniques. The goal of this project is to develop and evaluate novel self-supervised anomaly detection methods and publish a scientific paper at a top-tier conference in the field. The successful candidate will have a strong background in machine learning, computer science, or a related field, and be familiar with current research in anomaly detection and self-supervised learning. You are responsible for developing and implementing novel self-monitored anomaly detection methods. You evaluate the methods on different data sets. For this, you will write a master thesis detailing the research and results. Prepare and submit a scientific paper to high-level conferences in the field. Your qualifications – solid and appropriate You are a master student (f/m/d) in computer science, machine learning or a related field. Sound knowledge in machine learning, computer science or a related field is essential. Familiarity with current research in anomaly detection and self-supervised learning is especially important to us. You have good programming skills in Python or similar languages. You also bring strong communication and writing skills in German. Please submit your resume as well as your grade transcript with your application. Getting in touch with us – straightforward and direct www.siemens.de/mobility if you would like to find out more about Siemens before applying. +49 (9131) 17 52430 if you wish to discuss any initial questions with our recruitment team. The contact person handling this job ad is Ms. Julia Greff. www.siemens.com/careers if you would like more information about jobs and careers at Siemens. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. Organization: Siemens Mobility Company: Siemens Mobility GmbH Experience Level: Student (Not Yet Graduated) Full / Part time: Full-time