atthe Department of Computer and Systems Sciences. Closing date: 15 April 2023 .
The Department of Computer and Systems Sciences (DSV) is one of the oldest IT departments in Sweden and one of the largest departments at Stockholm University with around 5,000 students and around 190 employees. The discipline of computer and systems sciences bridges the gap between technology and the humanities, social sciences, and behavioral sciences. The use and design of IT is put in context in relation to people, organizations, and society. DSV offers a stimulating research environment in an international setting.
Project description Artificial Intelligence is a rapidly growing research area that leverages technologies such as machine learning, statistics, and business processes. More specifically, machine learning methods have been recently evolving towards deep learning and reinforcement learning, resulting in high-performant models and tools. At the same time, the notion of digital twin has been extensively used across the whole system development lifecycle from designing and planning to maintaining products and services. A data-driven digital twin is a digital representation of a physical object or set of services functioning on the basis of live data streams for the purpose of monitoring them for prediction and decision making.
The main goal of this PhD project is to employ Artificial Intelligence and machine learning methods alongside a digital twin conceptual architecture and prototype for monitoring and optimization of energy. Real, streaming data from the real-estate domain will be used in the project.
Qualification requirements In order to meet the general entry requirements , the applicant must have completed a second-cycle degree, completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.
In order to meet the specific entry requirements , the general syllabus for doctoral studies in the field of Computer and systems sciences stipulates that applicants must have completed courses at second-cycle level in Computer and systems sciences with a minimum of 90 higher education credits, or equivalent, including a thesis with a minimum of 15 higher education credits. In addition, the applicant is required to have English language skills equivalent of Common European Framework of Reference for Languages Level B2.
The qualification requirements must be met by the deadline for applications.
Selection The selection among the eligible candidates will be based on their capacity to benefit from the training. The following criteria will be used to assess this capacity:
Admission Regulations for Doctoral Studies at Stockholm University are available at: www. su.se/rules and regulations.
Terms of employment Only a person who will be or has already been admitted to a third-cycle programme may be appointed to a doctoral studentship.
The term of the initial contract may not exceed one year. The employment may be extended for a maximum of two years at a time. However, the total period of employment may not exceed the equivalent of four years of full-time study.
Doctoral students should primarily devote themselves to their own education, but may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.
Please note that admission decisions cannot be appealed.
Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.
Contact For more information, please contact Professor Panagiotis Papapetrou, [email protected] or Director of PhD studies, Åsa Smedberg, [email protected]
Union representatives Ingrid Lander (Saco-S), telephone: +46 708 16 26 64, [email protected], Alejandra Pizarro Carrasco (Fackförbundet ST/OFR), telephone: +46 8 16 34 89, [email protected], [email protected] (SEKO), and PhD student representative, [email protected]
Application Apply for the PhD student position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the advertisement, and that it is submitted before the deadline.
Please include the following information with your application
and, in addition, please include the following documents
Project proposal/Research proposal describing: – why you are interested in the field/project described in the advertisement – why and how you wish to complete the project – what makes you suitable for the project in question
Degree certificates and grades confirming that you meet the general and specific entry requirements (no more than 6 files)
The instructions for applicants are available at: How to apply for a position.
You are welcome to apply!
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