PhD student

Last application date
Dec 15, 2017 11:03
TW06 - Department of Electronics and information systems
Limited duration
Master in engineering (preferably computer science or electronics), data science, artificial intelligence, or informatics.
Occupancy rate
Vacancy Type
Research staff

Job description

IDLab is a research group of UGent, as well as a core research group of imec. IDLab performs fundamental and applied research on data science and internet technology, and counts over 300 researchers. Our major research areas are machine learning and data mining; semantic intelligence; multimedia processing; distributed intelligence for IoT; cloud and big data infrastructures; wireless and fixed networking; electromagnetics, RF and high-speed circuits and systems. In particular, the group has been studying various kinds of neural networks for more than 20 years. It has been at the forefront of deep learning research ever since it became popular a decade ago. Illustrative of this success are an excellent track record at Kaggle competitions and the fact that four of our former PhD students are now working at Google’s Deepmind and one at Google Brain.

Within the context of the recently approved FWO project HYPERSCALES, conducted at UGent IDLab ( and at KULeuven, we are looking for an excellent PhD student to work on power efficient embedded sensing solutions by developing hardware-aware deep learning architectures. You will collaborate with enthusiastic colleagues at IDLab, as well as with our partners atKULeuven, who will focus on the hardware design. You will research and develop suitable hardware-efficient architectures and training approaches and stay up to date with important changes in the related literature. You will be encouraged to publish and present your work at international conferences, or to attend useful summer schools.

We offer a fully funded PhD scholarship for a maximal period of 4 years (upon positive progress evaluation). The PhD research is fundamental and innovative, but with clear practical applications. You will join a young and enthusiastic team of researchers, post-docs and professors. This PhD position is available from January 1st, 2018.

Profile of the candidate

• You have a degree in Master of Science/Engineering, preferably in Computer Science, Electronics-ICT or (Mathematical) Informatics.

• Note: to be admissible to the PhD-program, your degree must be equivalent to 5 years of engineering studies (bachelor + master) in the European Union, and you must have a solid academic track record (graduation cum laude or grades in the top 25% percentile).

• You have a strong interest in the above-mentioned domains.

• You are interested in and motivated by the research topic, as well as in obtaining a PhD degree.

• You have excellent analytical skills. • You are a native Dutch speaker or speak and write English fluently (C1 CEFR level).

• You have good communication skills.

• You have an open mind and a multi-disciplinary attitude.

• You have knowledge of and experience with machine learning. Having prior experience with deep learning is an asset.

• You are eligible for a Flemish PhD scholarship (i.e., you have not enjoyed such a scholarship before).

• You are preferably available from January 1st or shortly after.

How to apply

Apply with motivation letter, scientific resume, diplomas and detailed academic results (courses and grades), English proficiency scores (for non Dutch speakers), relevant publications, and two reference contacts.

For any questions, contact prof. dr. ir. Joni Dambre ( After the first screening, suitable candidates will be invited for an interview (also possible via Skype) and may get a machine learning assignment.