Background: Master's degree in Computer Science, Data Science, Physics, Mathematics, or related Engineering fields with up to 5 years of experience.
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Activity: You will be part of a multi-disciplinary team that implements innovative AI-based and model-based software solutions for systems health monitoring, diagnostics and data mining for space and/or automotive applications. You will be supported by our team leaders in a professional growth and training path that will gradually lead you to autonomy in data analysis activities and development of models, methods and software solutions.
Requirements:
- Excellent knowledge of advanced techniques of timeseries data analysis and modelling, including signal processing, feature extraction, Machine Learning and Deep learning applied to timeseries.
- Excellent knowledge of programming in high-level languages (e.g. MATLAB / SIMULINK, Python, C ++, Java);
- Knowledge of data mining and data cleaning techniques.
- Knowledge of the English language (read, written and spoken); at least level B2 (CEFR) is required
- Advanced knowledge of the Microsoft Office environment, in particular Word and Excel. xivgfpx
What we offer:
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Hiring contract framed according to CCNL trade sector SME.
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Hybrid remote working options (combination of in-office and work from home)
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Opportunity to work with cutting-edge technologies, innovative technology projects and software tools development
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Possibility to be involved in different projects and different fields
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On-the-job training
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Direct contact with innovation centers of clients and partners
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Opportunities to grow in role and responsibilities
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Company benefits like flexible hours, meal vouchers, online or in-company learning courses, periodical showcases and knowledge sharing sessions, common break/snack room
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Salary and additional benefit/bonus commensurate with experience, autonomy and objectives achieved