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HOW WE SEE THE FUTURE

We believe the future is now. There are just not enough people to solve all the world’s problems, but powerful AI tools and gigantic computational resources now help us on the way. With a core team of more than 20 PhDs, physicists, mathematicians and engineers we have a proven track record of creating new revenue out of existing data.

If you want to join our team and you have a strong interest in mathematics/applied physics or in software engineering generally, contact us. We like spontaneous applications.

OUR TEAM

JONATHAN BERTE

FOUNDER & CEO

Jonathan leads a team of AI computer vision experts. He graduated as an Applied Physics engineers, specializing in image processing.

With this expertise, he has acquired a strong reputation as image processing partner in both the visual, X-ray and Infrared spectrum for applications in the automotive, diamond, textile, FMCG and building industry.

With a steadily growing portfolio of ever bigger and more complex projects, Robovision expanded its horizon towards Artificial Intelligence and Deep Learning, implementing an impressive toolbox, called RVAI.

TIM WAEGEMAN

CO-FOUNDER & CTO

Tim is co-founder and chief architect of Robovision. He enthusiastically leads the team  on a technical level and is responsible for RVAI.

He obtained a PhD Degree in Computer Science Engineering at Ghent University. He completed his doctoral thesis in 2013 on machine learning at the Reservoir Lab, building adaptive controllers that can control compliant robots without prior knowledge of their dynamical system. In his spare time, he is a hardware enthusiast and counts many Deepmind scientists among his old labmates.

DIRK VAN DE VELDE

CCO-CFO

Dirk Van de Velde was active in succesfully growing several software companies in Europe (Management Data, Smartstream Technologies, Accurate Software and CheckFree Software). In the Robovision team he’s also responsible for deal negotations.

Dirk is the man building the company by the book. He carefully judges new possibilities, making sound contracts while co-operating with the legal team. He’s also responsible for the HR department, in close cooperation with the founders.

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ADVISORY BOARD

X

EXPERT IN Y

We already have a passionate and highly skilled management team. Now we are also reaching out to critical thinkers, who can join us on this promising journey. Therefore Robovision has  recently started setting up an advisory board. Two positions have been filled so far and we would like to expand this further So, if you are a captain of industry, a proven disruptor or even anex-marine corps, and you feel that your view on our future is relevant, please come and talk to us.

BRAM VANDERBORGHT

Professor at VUB, expert in ROBOTICS

Prof. dr. ir. Bram Vanderborght was born in Belgium in 1980. He got a degree – summa cum laude  in the study of Mechanical Engineering at the Vrije Universiteit Brussel in 2003. He then started working as a researcher at the VUB, on a scholarship from the Fund for Scientific Research Flanders (FWO). In May 2007, he obtained a PhD in Applied Robotics. The focus of his research was on the use of adaptable compliance of pneumatic artificial muscles in the dynamically balanced biped Lucy. Meanwhile,n May-June 2006, he  engaged in research on the humanoid robot HRP-2 at the Joint Japanese/French Robotics Laboratory (JRL) in AIST, Tsukuba (Japan), as part of the project “Dynamically stepping over large obstacles by the humanoid robot HRP-2”. His research interests include cognitive and physical human-robot interaction, robot assisted therapy, humanoids and rehabilitation robotics with core technology of using variable impedance actuators  (you can find an overview here).

BART STEVENS

MARKETING EXPERT

Bart was the founder of iChoosr, an European player in the GroupBuy space. Been doing that with lot’s of fun and a great team.

Prior to that he spent quite some time traveling the globe. Lived in Brazil, US and now Belgium.

He grew up in Holland, graduated at University of Utrecht (law and economics), and father of four “bloedjes”.

CHECK OUT OUR TESTIMONIALS & CASE CARDS

OUR PARTNERS

Robovision is a NVidia™ Preferred Solution Provider. As part of our focus on the design, development and deployment of complete automation projects, you can buy DGX systems and NVIDIA GPU accelerators from us at www.robovision.be/nvidia/

IMEC is our partner for innovation. IMEC is unique in creating a innovative playing field for both research groups and small companies. Robovision benefits from this ecosystem, and participates in ICON projects. Contact us for more info.

Robovision is working with the famous Fraunhofer institute on 3D deep learning. We do joint research on how to grab complicated objects (Horizon2020 EU project)

Robovision is collaborating on several research tracks with KU Leuven (EagleEye, Omnidrone, Ixcon..). This relationship is so important that we decided to create an on campus office that focuses on pedestrian detection and other biometric solutions.

Robovision is working together on several deep learning research tracks with Ghent University (Ixcon, Autoware…). We are located on the University campus in Zwijnaarde.

Robovision is working closely together with the PowerAI division of IBM. Together with the technical staff of Montpellier, and Cambridge USA we build the AI backbones of the future.

JOBS AT ROBOVISION

We are assembling a world-class deep learning team that will enable the next generation of technology in society.

WE ARE CURRENTLY LOOKING FOR …

DevOps

Within RoboVision a scalable machine learning framework (RVAI) has been developed that is powering businesses in Agriculture, Manufacturing and Media/Security.

In the RVAI team, you will help architect, design and operate a hybrid public/private cloud system running the RoboVision AI infrastructure combining open source and commercial software components.

Skillset:

  • Docker
  • Kubernetes
  • Jenkins
  • Nginx
  • Automation tools: one of these: Ansible, Chef, Puppet
  • Basic knowledge of Python and pip, conda, virtualenv
  • Linux (and a bit of Windows knowledge)
  • Network technologies like DNS, TCP/IP, …
  • Git and Gitlab

Nice to have:

  • Any Python-based web framework (Flask or Django)
  •  Node.js or any other Javascript related framework
  • Knowledge on message queueing systems (NSQ, ZMQ or RabbitMQ)
  • SQL and NoSQL databases
  • Amazon AWS or Google Cloud Platform
  • Cobertura or any other comparable code coverage framework
  • SonarQube or any other comparable static code analysis tool

Activities:

  • Improve automatic deployment of our code into Dockers and Kubernetes clusters
  • Improve Continuous Integration and Continuous Delivery workflow (unit/integration testing, automatic builds of Python executables and Docker images and registration of Docker images)
  • Automatic deployment of Kubernetes and MySQL clusters
  • Extend the integration testing framework and write integration tests
  • Perform some system administration tasks on Linux servers (Gitlab, Jenkins, SonarQube, etc.: no night/weekend shifts !)
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DATA ENGINEERS/SCIENTISTS

We are searching for a few strong data engineers/scientists to join our team. You will help develop the core machine learning technologies that are driving our products of the future. When you are interested in becoming a machine learning expert (if you are not already one), want to use machine learning in very challenging environments and feel like there is a clear match with the profile description below, fill in your application, select “data engineer” or “data scientist” as application type and send your CV and motivation together with an optional list of relevant personal projects:

General properties:

  • Highly motivated and modest
  • Great feeling of ownership: you feel yourself responsible for the results you deliver
  • Skeptical: you ask yourself and others the correct questions and don’t assume too easily that everything will work out of the blue
  • Make well-thought-out decisions with valid arguments that supports them
  • Creative and have attention for details
  • Able to prioritize work correctly
  • You work proactively and naturally identify tasks that need to be done
  • Practically oriented: You have ideas and can turn them into something real
  • Never give up! 😉
  • Data scientists should be able to select well chosen subtasks and manage a small team

Technical competences:

  • Strong mathematical background
  • Proficient in a number of programming languages: python, C/C++
  • Can understand complex and abstract scientific literature and implement their concepts
  • Machine learning experience is a must-have

Education:

  • Data Engineer: Master Engineering/Science
  • Data Scientist: PhD in Machine Learning or relevant domain
APPLY

FRONT-END DEVELOPERS

We are searching for a few strong developer profiles to join our product development team. You will convert our of the shelf technologies into easy to use products. If you are interested, want to work in very talented and dynamic team, and feel like there is a clear match with the profile description below, fill in your application, select “front-end developer” as application type, send your CV and motivation together with an optional list of relevant personal projects:

General properties:

  • Highly motivated and modest
  • Great feeling of ownership: you feel yourself responsible for the results you deliver
  • Skeptical: you ask yourself and others the correct questions and don’t assume too easily that everything will work out of the blue
  • Make well-thought-out decisions with valid arguments that supports them
  • Creative and have attention for details
  • Able to switch viewpoints easily (developer’s side – backend, end-user’s side – frontend,  …)
  • Able to prioritize work correctly
  • You work proactively and naturally identify tasks that need to be done
  • Practically oriented: You have ideas and can turn them into something real
  • Never give up! 😉

Technical competences:

  • Proficient in a number of programming languages: javascript, python
  • Experience in web application development and have experimented with a number of development frameworks (e.g., nodeJS, Django, Flask, Tornado, React, AngularJS, Vue, webpack, …)
  • Striving for clear and reusable code
  • You have developed efficient debugging strategies
  • Experience with modular design architectures

Education:

  • Bachelor/Master Engineering/Science
APPLY

OPEN APPLICATION