Two (2) PhD Positions on Safe Learning for Large Interconnected Systems (starting: 3/2025)
We invite applications for two (2) PhD positions at the Networked Systems (NS) group, Delft University of Technology.
Topic: The successful applicants will work on algorithms and techniques to make Safe Learning (SL) for Large Interconnected Systems a reality. This is a unique opportunity to develop and test new AI techniques for complex interconnected systems, such as those in future (6G and beyond) communications and in mobile & edge computing platforms.
Safe learning is one of the key research challenges in AI today. The lack of principled and practical SL algorithms prevents the use of AI in many critical application domains, especially those with strict quality-of-service criteria that operate under volatile and unforeseen conditions (e.g., the control of autonomous vehicles). The goal of these positions is to contribute to the development of the next generation of AI tools that are safe (i.e., respect system boundaries and operational requirements), robust against various sources of uncertainty, and prompt in adapting to environmental and mission changes. To this end, we envision using ideas and techniques from (but not limited to) the areas of optimistic learning, fair dynamic learning, robust learning, and continual learning, with applications to 6G and Edge AI resource control and decision-making problems.
The positions are part of a new Marie Curie Training Network called FINALITY, in which TU Delft joins forces with top universities and industries, including INRIA, IMDEA, KTH, the University of Avignon (Project Leader), the Cyprus Institute, Nokia, Telefonica, Ericsson, Orange, and others. The PhD students will have opportunities for internships with other academic and industry partners and will be able to participate in thematic summer schools and workshops organized by the project.
Environment: The PhD positions are within the NS group, which is part of the Software Technology Department in the Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS) and will be supervised by Dr. G. Iosifidis. The PhD researchers will join a very active, stimulating, and diverse environment and will have the opportunity to be involved in both theoretical (AI, learning theory, optimization, etc.) and experimental work (data-driven and testbeds). The group participates in several national and international research projects and offers a stimulating environment with rich collaboration opportunities, including partnerships with top industry labs.
Candidate Profile: Graduates applying for this position should have the following:
Strong motivation to tackle challenging research problems.
M.Sc. or equivalent in Mathematics, Computer Science, or Electrical Engineering
Strong interest in applied optimization, AI/ML, algorithm design (primary); and communication/computing systems (secondary). Prior research experience and publications are a plus.
Excellent academic results (First-class honors or equivalent).
Very good command of spoken and written English (TU Delft eligibility criteria apply).
Application: Through TU Delft Recruiting Portal (Vacancy Number: TUD05688); or HERE Directly.
The position is available from March of 2025. 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 particularly attractive (based on the Collective Agreement for Dutch Univ.). Especially for expats who qualify for the 30% tax benefit, the net salary increases from 2700 Euros per month (1st year) to 3500 Euros in the 4th year.
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
TU Delft is a world-class university in engineering and technology, located at the beautiful city of Delft. 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.
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