Phd Position Safe Learning for Interconnected
3 maanden geleden
PhD Position Safe Learning for Interconnected Systems-
Job description
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.
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.
**Requirements**:
- 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).
Conditions of employment
The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.
For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.
TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
Challenge. Change. Impact
Faculty Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.
Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.
Additional information
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.
Application procedure
- Detailed CV
- Motivation letter (2 pages maximum)
- BSc and MSc Transcripts
- Names and contact information of at least two references (contacts, letters not needed)
- A pre-employment screening can be part of the selection procedure.
- Please do not contact us for unsolicited services.
- FACULTY/DEPARTMENT***
**Faculty of Electrical Engineering, Mathematics & Computer Science**:
- JOB TYPE***
**PhD**:
- SCIENTIFIC FIELD***
**Engineering**:
- HOURS PER WEEK***
**36-40**:
- SALARY***
**see vacancy
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