PhD position on artificially intelligent network
Challenge: To build self-managing networked systems.
Change: Leverage AI in the field of networking.
Impact: Reduced networking complexity.
- Mekelweg, Delft, Zuid-Holland
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 36 - 40 uur
- € 2395 - € 3061 per maand
Modern networked systems are some of the most complex things ever created, composed of vast intertwinings of systems and protocols distributed over wide areas. Unfortunately, the complexity of these systems is increasingly exceeding the ability of humans to effectively reason about and administer them. In this PhD project, we will explore the use of computer-assisted intelligence to build self-managing networked systems. This project will be executed at TU Delft, within the lab of Fernando Kuipers (https://fernandokuipers.nl), but will be performed in collaboration with the University of Illinois at Urbana-Champaign, USA
The successful candidate has obtained a master's degree with excellent marks in computer science, has a passion for computer networks and programming, and is a team player. A good command of the English language is required. Domain knowledge of artificial intelligence, machine learning, or data analytics is a strong plus.
TU Delft offers PhD-candidates a 4-year contract, with an official go/no go progress assessment after one year. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3061 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.
The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.
For more information about this vacancy, please contact Fernando Kuipers at F.A.Kuipers@tudelft.nl.
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