Data Scientist for Artificial Intelligence for Retail

Job description


​imec is the world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy.

As a trusted partner for companies, start-ups and universities we bring together close to 3,500 brilliant minds from over 70 nationalities. Imec is headquartered in Leuven, Belgium and also has distributed R&D groups at a number of Flemish universities, in the Netherlands, Taiwan, USA, China, and offices in India and Japan. All of these particular traits make imec to be a top-class employer.


University of Antwerp – imec IDLab Research group

The Internet & Data Lab (IDLab) is an imec research group at the University of Antwerp and Ghent University. IDLab focuses its research on internet technologies and data science. IDLab is a joint research initiative between Ghent University and the University of Antwerp. Bringing together 300 internet experts, we develop technologies outperforming current solutions for communication subsystems, high speed and low power networking, distributed computing and multimedia processing, machine learning, artificial intelligence and web semantics. Within Antwerp, where you will work, the overall IDLab research areas are machine learning and wireless networking. IDLab has a unique research infrastructure used in numerous national and international collaborations.

IDLab collaborates with many universities and research centres worldwide and jointly develops advanced technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SME’s, as well as numerous ambitious startups).

For further development of the IDLab machine learning cluster, we are looking for a Data Scientist for Artificial Intelligence in Retail.


The job

  • You will develop new and improve existing computer vision models based on deep learning for retail.
  • You will, among others, investigate object recognition, object referral, scene understanding, bin picking, and sensor fusion problems.
  • You will search for qualitative solutions to real-life problems to optimize workflow and increase revenue in retail.
  • You will develop software for real setups that integrate different computer vision modules in an end-to-end solution.
  • You will communicate your findings in reports and/or presentations to internal and external stakeholders.
  • You will monitor and maintain and review (released) code and computer vision deep learning models.
  • You will work in a small team and participate in research projects, mostly in collaboration with industry.

    Job requirements

    • You have a Master of Science degree, preferably in Engineering, Computer Science, Physics, Electrical Engineering, Electromechanical Engineering, or equivalent.
    • You have a general background in data science.
    • You have knowledge/experience with software engineering
    • You have experience using deep learning, preferably for computer vision.
    • It is considered a plus if you have experience with other machine learning and/or optimization techniques.
    • You are fluent in Python programming.
    • You are familiar with the Python data science stack.
    • You have experience with deep learning libraries such as TensorFlow or PyTorch.
    • It is considered a plus if you have experience with hardware, embedded platforms, etc. and/or setting up cloud environments (Azure, AWS, GCP, …)
    • It is considered a plus if you have experience with low-level programming and scripting languages as C++ and bash.
    • Having experience with participating in national and/or international research projects is an advantage.
    • You are a pro-active problem solver and a team player and have strong communication skills.
    • Your English is fluent, both speaking and writing.

    More information

    Michelle Nietvelt –