Senior Development Engineer Data Science (m/f/d)
at SLM Solutions Group AG
Lübeck, Schleswig-Holstein, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 11 Jun, 2024 | Not Specified | 12 Mar, 2024 | N/A | Sysml,Machine Learning,Interpersonal Skills,Pattern Recognition,Statistics,Matlab,Algorithm Development,Computer Vision,Signal Processing,Applied Mathematics,Software Development,Python | No | No |
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Description:
POSITION DESCRIPTION:
In this position you are an essential member in R&D projects for predictive maintenance and sensor technology for metal 3D printers. Together with your team of highly skilled experts from around the globe you will:
Software and Algorithm Development:
- Define metrics for health state of LPBF machines, also real-time surveillance, based on ML, statistics, and analytical models
- Define metrics for LPBF build process quality control in real-time and post-build, including and compared with external measurements (for example CMM, X-ray, CT)
- Define and develop algorithms for improved machine and process quality, based on machine vision, multivariate statistics, and AI
- Develop, compare, and implement methods for process parameter optimization
- Develop ML and non-ML based strategies for decision making and quality control
Data Analysis:
- Collect and analyze data from machine process sensors
- Analyze historical data exploratively for patterns which predict future malfunctions and quality implications
- Develop, compare, and implement methods and algorithms for error detection in LPBF machines and processes based on said metrices and patterns in prototype solutions
- Define methods to compare usability of sensors and inhomogeneous sensor networks
- Create and execute comparability studies between LPBF machines
System Integration:
- Develop system models to integrate said methods with LPBF machines on Edge, Cloud, and on machine-integrated computers
- Collaborate with cross-functional teams to integrate developed systems with LPBF machines
- Accompany and support product development
Testing and Validation:
- Develop and execute test plans to validate effectiveness and robustness of developed methods
- Identify and resolve model issues
Documentation:
- Create detailed report for the executed evaluations and findings
- Present results to corporate-internal stakeholders
- Create detailed technical documentation for software designs and system models
QUALIFICATIONS AND REQUIREMENTS:
- University degree in applied mathematics or computer sciences with strong focus on statistics, signal processing, pattern recognition, and/or machine learning; ideally PhD in a relevant field or equivalent qualification
- Several years of experience in technology or software development in C#, Python, Matlab; ideally for quality control applications
- Strong knowledge of algorithm development for pattern recognition, event detection, and signal processing
- Preferable knowledge of computer vision, X-ray, CT
- Preferable experience with SysML and/or ARCADIA
- Experience with LPBF applications is a plus
- Excellent problem-solving skills and the ability to work independently and in a team
- Strong communication and interpersonal skills
- Attention to detail and a passion for innovation
WHO WE ARE:
Nikon SLM Solutions AG is one of the world’s leading companies in additive manufacturing. Our Selective Laser Melting machines enable the fast, reliable and cost-effective production of high-quality metal components. With our more than 600 employees from over 25 nations, we are revolutionizing additive manufacturing and are a partner at eye level for our renowned customers, e.g. from the aerospace industry, the energy sector, healthcare or the automotive sector.
Nikon SLM Solutions AG is headquartered in Lübeck, Germany, with offices in China, France, India, Italy, Japan, Singapore, South Korea and the United States.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Mathematics, Relevant Field, Statistics
Proficient
1
Lübeck, Germany