PhD Opening in AI/ML - Optimization for Wireless Networks -- FILLED
This position is no longer available
Applications are invited for a PhD position at the Embedded and Networked Systems (ENS) group, Delft University of Technology. TU Delft is a world-class university in engineering and technology, located at the beautiful city of Delft.
Topic: The successful applicant will work at the nexus of AI/ML-based optimization techniques and wireless networks in collaboration with top-notch industry labs, in the context of the European project DAEMON. This is a large-scale research project focusing on Network Intelligence for Adaptive and Self-learning Mobile Networks, with industry partners such as Telefonica, Nokia Bell Labs, NEC Europe, and others.
Environment: The PhD position is in the ENS group, which is part of the Software Technology Department in the Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), and will be supervised primarily by Dr. G. Iosifidis. The PhD researcher will join a very active, stimulating and diverse environment; and will have the opportunity to be involved in both theoretical (optimization algorithms) and experimental work (data-driven and/or testbeds), and collaborate with the recently launched Do-IoT lab (Prof. Fernando Kiupers).
Candidate Profile: Graduates applying for this position should have the following:
Strong motivation to tackle challenging research problems
B.Sc., M.Sc. or equivalent in Mathematics, Computer Science, or Electrical Engineering
Strong interest in mathematics and/or testbeds; prior research experience and publications is a plus.
Excellent academic results (First-class honours or equivalent)
Very good level of spoken and written English
Application: To apply, candidates should submit a detailed CV and the names and contact details of at least two referees for letters of recommendation to: G.Iosifidis@tudelft.nl.
The position is available immediately and will remain open until filled; the starting date is flexible. Applications will be evaluated at the end of each month.
General Conditions of employment: TU Delft offers a customizable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. Coming to Delft Service organizes diverse events for new international employees and their accompanying partners, like Partner Career Workshops and Dutch Culture Workshops. Located on campus are the International Children’s Centre and an international primary school which are subject to availability as well as several bilingual schools in the nearby surrounding. Salary and benefits are in accordance with the Collective Agreement for Dutch Univ. (2395-3061 Euros), and include a potential 30% tax benefit.
As a PhD candidate you will be enrolled in the TU Delft Graduate School, which provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Program aimed at developing your transferable, discipline-related and research skills. Please visit also www. tudelft.nl/phd
The Department of Software Technology is one of the leading European departments in research and academic education in computer science, employing over 150 people. ST is responsible for a large part of the curriculum of the bachelor’s and master’s programs in Computer Science as well as the master’s program in Embedded Systems. The inspiration for its research topics is largely derived from technical ICT problems in industry and society related to large-scale distributed processing, embedded systems, programming productivity, and web-based information analysis.
The Faculty of: Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programs. Offering an international environment, the faculty has more than 1100 employees (including about 400 PhD students) and more than 3700 bachelor’s and master’s students. Together they work on a broad range of technical innovations in the fields of electrical sustainable energy, microelectronics, intelligent systems, software technology, and applied mathematics.