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Algorithm developer

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Our solutions are a key part of most industries - electronics, medical research, renewable energy, food production, infrastructure and many more. Working with us means working with the latest technologies and groundbreaking, sustainable innovations.

Join us on our journey for a better tomorrow.

The role

  • Design state-of-the-art control and monitoring systems for a variety of applications in the world of compressed air and gas systems. You create functional code that adds 'intelligence' to our systems (e.g. optimization, pattern recognition, recommendations).
  • Innovate new ideas, track related research, develop new concepts and prototype ideas.
  • Keep track of emerging and potentially promising technologies. Define relevancy through proof of concepts and real-life testing.
  • Set up collaborations with third parties via partnerships, funded projects and bilateral contracts (academics, research institutes, …).
  • Together with the team you bring your ideas and concepts to the market (e.g. real products that create value).
  • Be a focal point and technical lead from start to completion of development projects.
  • Communicate technical innovations and project statuses through reports and regular presentations to our stakeholders and divisional management.
  • Provide technical support to external and internal customers.
  • What we expect of you

  • You have a technical education background (master's in physics, Mathematics, Computer Science, Robotics, Mechatronics or related engineering field), a PhD is a plus.
  • Experience in programming using different simulation environments (Matlab, Simulink, …) and high-level languages (Python, R, …)
  • Interest in control theory, signal processing, dynamics of complex systems, artificial intelligence and algorithm development.
  • You are eager to develop a strong domain specific knowledge.
  • You are passionate about the newest trends in embedded control systems, control algorithms, machine learning and artificial intelligence.
  • You have affinity for software development or are willing to learn.
  • Analytical, problem-solving, curious, eager to learn
  • You can operate with a high degree of autonomy
  • You take ownership and technical lead
  • You are result driven
  • You try new ideas, methods and technologies because you are convinced there is always a better way
  • You like to investigate root causes of technical problems and challenges.
  • What can you expect from us?

    Smart machines and the Industrial "Internet of Things" will push sweeping change through nearly every industry on the planet. It will be the most important technical and business trend of our lifetimes. Atlas Copco Airpower acknowledges this trend and we are actively implementing smart systems into all our machines.

    Together with our team, you will not only work on our current control systems, but also on our next generation platform of control systems.

    Therefore, we require you not only to be passionate about control engineering but also to have a strong interest in embedded hardware and software, emerging technologies from the IoT world, industry 4.0, automation tools and state of the art development tools.

    Our team is composed of a mix of passionate experts and generalists and you will be able to learn from them and work with them. But it will also be your task to keep track of new evolutions in a very broad range of technologies and gradually add extra knowledge and expertise to the team.

    You will propose, defend, initiate, and follow up projects with stakeholders within Atlas Copco, various partners from industry, academics, and research institutes. Your task will be to translate use cases described by our stakeholders into solid, future proof solutions and take responsibility of the complete development process. You will be able to translate your ideas into real products.

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    Algorithm developer

    Company:
    Atlas Copco
    City:
    Antwerp
    Contract type: 
    Permanent, Full-time
    Categories: 
    Developer
    Degree level: 
    Master
    PhD
    Published:
    03.11.2023
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