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Anforderungen

Excitement for a deep dive into the world of radar data processing : C1, English: C1, French: big plus Swiss citizenship is required, and the candidate must be eligible for a Swiss security clearance Do you not fully meet all the requirements? Apply anyway. We are always looking for talented and motivated people to join our team.

We place great emphasis on diversity and equal opportunities and aim to build a versatile team where everyone can fully utilize their personal strengths. In particular, we encourage all people, regardless of gender, who may have concerns about accepting a position in a military-related environment to apply. About the field of activity In times of rising geopolitical tensions and uncertainties, a country s ability to ensure its security and sovereignty is of utmost importance.

Our mission at the Engineering Sensors & Electronic Warfare department at RUAG is to support the Swiss armed forces in their duties by enabling persistent situational awareness. An integral component of this mission is to provide reliable and robust monitoring and analysis capabilities for military air surveillance radars. To achieve this, we design and develop custom software tools for processing, analyzing and visualizing the data recorded by these systems.

Our work requires a deep mathematical and physical understanding of the full signal processing chain, from raw signal acquisition through processing to interpretation. To support our radar engineering team, we are seeking a skilled Computational/Data Scientist who brings rigorous numerical modeling expertise coupled with a strong affinity for software engineering. Your advantages Salary and fringe

Das wird geboten

It is very important to us that our employees find a healthy balance between their professional and private lives. This is why, among other things, we offer flexible working hours and options for working from home. We offer you a performance-oriented salary in line with the market, 13 months wages as well as generous premiums and bonuses. Together with additional fringe benefits this makes for an attractive overall package. Flexible work

At RUAG, you benefit from discounts on transportation and meals. You can also take advantage of attractive offers on our benefits portal and receive fleet discounts from a number of well-known car brands. Career and development opportunities We are committed to developing and realizing the potential of our employees. For this reason, we support them in continuously expanding their skills through training, courses and further education so they can achieve their professional goals. Leisure activities We care about our employees. That is why we give them a day off for their birthday, offer a wide range of sports activities and the opportunity to take additional days off with a pay deduction in addition to their annual vacation entitlement. Your point of contact van Reekum Talent Acquisition Specialist jidd07a415ae jit1146ae jiy26ae

Zur Position

Data Scientist Sensors Data Scientist Sensors Every day, around 3,000 employees of RUAG and RUAG Real Estate make as significant contribution to the security of Switzerland. They ensure that the Swiss Armed Forces and other emergency and security organizations can comprehensibly carry out their tasks at all times. Data Scientist Sensors 80-100% Wangen You can move it Support the evolution of our modelling and analysis software ecosystem through collaborative development, documentation, and adherence to good engineering practices Analyze real-world measurement and test data, derive performance metrics, and prepare technical documentation and reports for internal and customer use Develop and apply machine learning techniques to extract meaningful patterns and insights from radar datasets Assist in the investigation of technical incidents and data anomalies to ensure system reliability and smooth operations Operate effectively within highly regulated, air-gapped environments, ensuring compliance with strict security and quality standards What you should bring with you Master s degree or PhD in Computational Science, Computer Science, Physics, Applied Mathematics, or a closely related discipline Strong expertise in for scientific computing and data analysis, with solid experience in relevant libraries s.a.

NumPy, Pandas, Matplotlib Expert in mathematical and numerical modeling of complex, dynamic systems, including handling noisy and high-dimensional data Practical knowledge of machine learning frameworks (TensorFlow, PyTorch) familiarity with the Linux ecosystem and prior exposure to compiled languages (e.g. C, C++,) Demonstrated ability to rapidly acquire domain-specific knowledge autonomously and to translate scientific principles into practical engineering solutions Able to strike a healthy balance between intellectual curiosity and focus on customer and company