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 IDLab, we are looking for a Software Developer.
You develop software for research projects in the field of artificial intelligence. You contribute to the development of research environments (e.
g., simulators, data acquisition and processing, front-end) and demonstrators.
You take the lead in the further development of IDLab's Open Source Distributed Uniform STreaming (DUST) framework. This framework facilitates deployment of distributed applications in heterogeneous hardware environments, shielding the application from the complexity of the underlying network.
Depending on the requirements originating from research projects, you add new functionality to the Core framework of DUST.
You are also responsible for the follow-up of the online open-source community and the development of new modules and plug-ins.
You support researchers in using the framework.
You are responsible for the maintenance of the private cloud and the services used for education and research.
You will actively work on the preparation and defense of a PhD thesis on Deep Learning Based Intelligence and Computationally Efficient Augmented Reality Systems.
You research state of the art methods in deep learning and computer vision to generate realistic augmented scenes.
You will validate your research in simulation and on the real-life experimental setups considering the concrete industrial use cases.
You build a strong knowledge of the baselines currently popular in the area of augmented reality and compare your findings with them.
You work in close collaboration with the IDLab colleagues and external partners working in the area of computer vision and deep learning.
You will participate in the framework of international and national research projects and collaborate on a technical level with research partners from the industry.
You will publish scientific articles related to the research project in international conferences like NIPS, ICLR, ICML, CVPR, ICCV, ECCV and journals including IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision etc.
You will carry out a limited number of teaching and research support tasks for the Electronics-ICT department of the Faculty of Applied Engineering and the IDLab research group.
You have a Bachelor’s or preferably Master of Science degree in (applied) Engineering Electronics-ICT, (applied) Informatics or equivalent.
You have knowledge / experience with software engineering. Experience with build tools (e.g., CMake) and CI / CD are a plus.
You are fluent in modern C++, Java, and Python programming.
You have basic understanding of relational and document-based database systems.
You have experience with Unix-like operating systems and container services such as Docker & Kubernetes.
You have experience with using machine learning, preferably reinforcement learning, and knowledge of deep learning libraries such as TensorFlow or PyTorch.
Experience with participating in national and / or international research & development projects, and / or contribution to open-source communities is an advantage.
You are a proactive problem solver, team player and have strong communication skills.
You take ownership of your work.
Your English is fluent, both speaking and writing.