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    Researcher - Machine Learning Job in Nieuwegein, Netherlands

    SKF Maintenance Products is a dynamic unit which has been providing the bearing market with maintenance and lubrication solutions and products for forty years. A team of 35 people with entrepreneurial mind-set serves bearing users worldwide. The position we are offering represents the advantages of working within a small team, yet in an international environment. We are based at the SKF Business & Technology Park, Nieuwegein in the Netherlands.

    Researcher - Machine Learning Job Description


    The Diagnostics & Prognostics team within the SKF Research & Technology Development group is responsible for generating new knowledge and technology in the field of bearing and machine monitoring. The deliverables of this team are directly supporting SKF’s journey through digital transformation and will change the way we do business. By obtaining and interpreting measurement data from bearings in the field, SKF strives for a paradigm shift from unplanned to scheduled maintenance. This enables SKF to move away from classical transactional business models to performance based service contracts.

    To strengthen our team in Nieuwegein we are looking for a: Researcher - Machine Learning


    Job description

    In this role, you will be working in multiple R&D projects. In accordance with project needs, your main responsibilities will be (but are not limited to):

    • Data wrangling: data transformation, feature extraction, principal component analysis and clustering
    • Using pattern recognition in time series (e.g. vibration, temperature) to detect anomalies
    • Develop technology and algorithms to make a prognosis of the remaining life of a mechanical system in operation
    • Develop machine learning algorithms using supervised and unsupervised learning
    • Collaborate with researchers in other areas such as tribology to combine physical modelling and data driven approaches (hybrid modelling)
    • Use automation tools for optimization of machine learning algorithms and model validation

    Our offer
    We offer you the opportunity to work in an innovative and well-equipped R&D environment, which is part of a large, successful company with an excellent reputation. You will join a team of well-motivated colleagues and will have a lot of international contacts. We look forward to see you develop as a professional who creates a career in SKF and we will support your steps. Of course, our employment conditions are competitive.

    Researcher - Machine Learning Job Requirements

    Job requirements

    • Masters or PhD degree in mathematics, statistics, computer science or related discipline
    • Proven record in researching and applying machine learning techniques (e.g. speech recognition, image recognition and classification)
    • Affinity with mechanical systems and signal processing
    • Skilled in Matlab is required, preferred would be a second programming language, like C++, Python or R
    • Self-driven professional and team player
    • Good command of English

    Researcher - Machine Learning Application Information

    About SKF
    SKF works to reduce friction, make things run faster, longer, cleaner and more safely. Doing this in the most effective, productive and sustainable way has made the SKF Group a leading global supplier of products, solutions and services within rolling bearings, seals, mechatronics, services and lubrication systems. Services include technical support, maintenance services, condition monitoring, asset efficiency optimization, engineering consultancy and training. 

    Please apply with your CV and cover letter by the 'apply' button below

    Remember - you found this opportunity on Qreer.com

    Researcher - Machine Learning Summary

    Education Backgrounds: Mechanical Engineering
    Mechatronics
    Micro / Nano Technology
    Specialties: Acoustics / Vibration Technology
    Control systems
    Dynamical behaviour
    Tribology
    Vehicle Dynamics
    Education Level: Postgraduate (Masters)
    Doctorate (PH.D)
    Experience: 2 - 5 years
    5 - 10 Years
    Languages spoken: English
    Job Location: Nieuwegein, Netherlands
    Keywords: statistics, Matlab, signal processing

    Apply

    SKF

    Nieuwegein, Netherlands
    Human Resources
    +31(0)30 6075835
    View Company Profile More Jobs with

    Type: Job

    Deadline: 31st March 2018

    Job reference (ID): 12951

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