Job Properties
  • Job Type
    Full-time Position
  • Category
    Software & Information Technology
  • Languages
    English
  • Experience Required
    Entry
  • Degree Required
    Bachelor
    • Province
      Groningen
    • Date Posted
      November 26,2021
    • JSS
    • VISA
    • MOCKINTERVIEW
    • IMG_6430
    • Career Consultation
    • COVERLETTER CHECK
    • CV CHECK

    Junior IT-scientist machine learning / AI | Groningen

    Designing an application that predicts the gas consumption of households or the failure risk of dykes. Investigating how multiple organisations can combine their real-time data. Or improving the autonomy of IT systems and robots so that they adapt themselves to changing circumstances. Just a few examples of your very diverse range of tasks. As a junior IT scientist, you will work on solutions – for example through AI and machine learning – for complex monitoring and control tasks. You do so for domains such as renewable energy, industry and infrastructure and for parties such as Rijkswaterstaat and Defence. In this challenging position in Groningen, you get all the freedom you need to surprise us with your ideas.

    What will be your role?

    By conducting applied research into innovations, you are preparing the world for the future. Slightly pretentious? Well, you might just end up designing the new earthquake model for Groningen together with geophysicists at TNO. How do you approach such a project? You start by reading up: what exactly is the question and what trends are there? You then brainstorm with colleagues and investigate which technologies you can use. If you have a design, you program this prototype yourself or in a team. You set up the software architecture and build a proof of concept, which you then present to the client. You explain in clear language which technical choices you have made and how exactly your tool or system works.

    Within the Monitoring & Control Services team, you work on several small and larger projects simultaneously. Within this team, we each have our own expertise, so we complement each other well. You also work with internal and external clients, such as sustainability experts within TNO or data analysts from Rijkswaterstaat. If you join us, you will work for several different domains. But the great thing about TNO is that your ambitions and interests are central. Does a domain appeal to you? Or do you want to focus on a particular aspect, for example project management? You only have to say so and you will get all the space you need to expand or deepen your development. Our teams in The Hague and Groningen together have more than 40 experts who are ready to help you. But they are also very curious about what you have to teach them.

    Read more about the Monitoring & Control Services team

    How do you want to contribute to tomorrow's world? How big can your impact be? Come and work at TNO and envision it.

    What we expect from you

    We hear it regularly: for new employees, especially juniors, TNO is like a sweet shop. You can work on a huge range of exciting projects and in different fields. This requires a flexible attitude: you must know how to deal with the freedom you get to fill in your days and organise your job. Fortunately, you can't wait to experiment, break new ground and dive right into the latest technologies. This proactive and curious attitude can take you far at TNO. However, prioritisation is important.

    Other knowledge and skills you bring to TNO:
    • A university degree/PhD in computer science or similar, supplemented by courses in areas such as AI, machine learning, robotics and pattern recognition.
    • Some experience with AI platforms and libraries, such as TensorFlow and PyTorch.
    • Knowledge and preferably experience with software development based on CI/CD (using, for instance, GitLab).
    • Programming skills (using, for example, Java, Python, Scala, Go and Rust) and the desire to learn new techniques.
    • Preferably experience with Docker and Kubernetes and with applying algorithms in AI and machine learning.
    • Preferably experience with setting up and managing virtual infrastructures in public cloud platforms such as Microsoft Azure and Amazon AWS and/or private cloud environments (such as Open Stack and Proxmox).

    What you’ll get in return

    Challenging and varied work with a real impact. And plenty of opportunities as, at TNO, you are in charge of shaping your career. We offer a gross monthly salary between € 3,000,- and € 4,500,- (based on your knowledge and experience), 8% holiday pay, a 13th month bonus of 8.33% and a flex budget (5.58% + € 180). In addition, you will be given every opportunity to develop yourself.

    TNO offers optional employee benefits, enabling you to tailor your benefits package to match your personal situation. You may also expect:
    • An extremely professional, innovative working environment where colleagues are leading experts in their field.
    • The opportunity to attend courses, workshops and conferences, and to receive training and coaching based on your needs.
    • Flexible working hours and the possibility of working from home.
    • Travel allowance or a bike.
    • Prospect of a permanent contract.
    • 28 days annual leave and 5 compensation days under the reduction in working hours scheme (ATV, arbeidstijdverkorting) on a full-time basis.
    • Great social events with your team and other TNO colleagues. That’s how you will get to know a lot of people really quickly.
    • A good pension scheme.
    • Access to our Talent Development Programme.
    • Networking opportunities and great activities organized by Jong TNO.
    Read more about tailoring your benefits package.

    TNO as an employer

    At TNO, we innovate for a healthier, safer and more sustainable life. And for a strong economy. Since 1932, we have been making knowledge and technology available for the common good. We find each other in wonder and ingenuity. We are driven to push boundaries. There is all the space and support for your talent and ambition. You work with people who will challenge you: who inspire you and want to learn from you. Our state-of-the-art facilities are there to realize your vision. What you do at TNO matters: impact makes the difference. Because with every innovation you contribute to tomorrow’s world. Read more about TNO as an employer.

    The selection process

    Please apply before January 10, 2022. The selection process comprises two interview rounds. The preliminary interview takes place on January 13, 2022. The second interview round has been scheduled for January 19, 2022. In a final meeting we will discuss the terms of employment and your tailored benefits package. We aim to finalize the entire process within four weeks.

    The selection process may include an online assessment and a reference check.

    In view of the current Corona restrictions, the selection and onboarding processes have been modified. Your invitation for a job interview will detail the relevant information.

    Has this job opening sparked your interest?

    Then we’d like to hear from you! Please contact us for more information about the job or the selection process. To apply, please upload your CV and covering letter using the ‘apply now’ button.

    Recruiter: Yvonne Pribnow
    Mobile phone: +31 (0)6-11097594
    LinkedIn: https://nl.linkedin.com/in/yvonnepribnow

    Hiring manager: Matthijs Vonder
    Phone number: +31 (0)6-204 24263

    Note that applications via email and third party applications are not taken into consideration.
     
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