The main goal of this PhD project is to develop theoretical and practical aspects of sparse training of neural networks (see e.g. https://numenta.com/blog/2020/10/30/case-for-sparsity-in-neural-networks-part-2-dynamic-sparsity for a gentle introduction and example of our part work here https://www.nature.com/articles/s41467-018-04316-3).
The PhD candidate is expected to contribute to:
The successful candidate will be supervised by Dr. Decebal Constatin Mocanu and Prof. Dr. Mykola Pechenizkiy. The PhD candidate will be embedded in the Data Mining group, TU Eindhoven and the AMADeuS (Artificially Intelligent Multi-Vehicle Automated Driving Systems) project.
The position facilitates both independent work and ample collaboration opportunities within the Data Mining group and colleagues at the University of Twente, TU Delft, TNO, Dynniq, Rijkswaterstaat, and Ford.
The ideal candidate we are looking for has:
Being a PhD student in the Netherlands
In the Netherlands, every PhD student gets paid a salary; no additional grants are needed. Hence, PhD students are more like employees than like students. The Dutch word for PhD student translates to "research trainee". The work of a PhD student may include assisting with educational activities. This amounts to around 10% of the time; the remaining time is spent on research and research-related activities. Foreign PhD students don’t need to speak Dutch: it is easy to get by with English, not only at the university but also in everyday life.
Gross salary ranges from € 2.395 per month in the first year increasing up to € 3.061 in the fourth year. The TU Eindhoven offers a broad package of fringe benefits (e.g., excellent technical infrastructure, child daycare and excellent sports facilities). The starting date is flexible.
For informal inquiries about this position, please contact Dr. Decebal Constantin Mocanu, (d.c.mocanu[at]utwente.nl) or prof.dr. Mykola Pechenizkiy (m.pechenizkiy[at]tue.nl)
Please apply by using the 'Apply for this job' button on top of this page. The first cut off date for applying to this position is 31 January 2021. All applications received before this date will receive a full consideration. After the preliminary deadline, the vacancy will remain open until the position gets filled.
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