|Kaksi tohtorikoulutettavaa ja yksi tutkijatohtori, CWC|
TWO doctoral student and ONE post-doctoral positions at the Centre for Wireless Communications, 4-year position 2018-2022 in Infotech and Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland.
The University of Oulu (http://www.oulu.fi/english/) is one of the largest universities in Finland, with approximately 16 000 students and 3 000 employees. The University of Oulu Graduate School (UniOGS) (http://www.oulu.fi/uniogs/) provides the framework and conditions for high-quality, research-driven doctoral education at the University of Oulu, and field-specific doctoral training is provided by its multidisciplinary doctoral programmes. Infotech (http://www.oulu.fi/infotech/) offers a high-level international multidisciplinary environment supplied with cutting-edge infrastructures. Under this framework, the Information Technology and Electrical Engineering Doctoral Programme (ITEE-DP) (http://www.oulu.fi/uniogs/dp/iteedp) offers doctoral training in Electrical Engineering, Communications Engineering, Computer Science and Engineering and Information Processing Science.
Applications are invited for TWO full-time doctoral student positions and ONE post-doc position for a maximum of four years, starting at the earliest on 01.05.2018 in an Infotech research project led by Associate Professor Mehdi Bennis from the CWC research unit, at the Faculty of Information Technology and Electrical Engineering.
This research is concerned with laying down the theoretical and algorithmic foundations of massive, low-latency, ultra-reliable and proactive wireless networks. Ensuring ultra-reliable and low-latency communication (URLLC) for 5G wireless networks and beyond mandates a departure from expected utility-based network design approaches, in which relying on average quantities is a necessity. Instead, a principled and scalable framework which takes into account delay, reliability, packet size, network architecture and decision making under uncertainty is sorely lacking. The research is highly interdisciplinary and involves the use of several mathematical tools such as stochastic optimization, game theory, stochastic geometry, statistical physics, and machine learning.
Requirements for the doctoral student
To be eligible for the doctoral student position, the candidate must possess a Master’s degree or an equivalent degree (e.g. licentiate) in electrical engineering. Degree must have been completed with excellent grades by 30.4.2018 (or latest before the job contract starts). Ability to pursue independent research and excellent writing and fluency in English is expected. The doctoral student position is intended for an Early Stage Researcher (ESR) who, according to the ”European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers”, is defined as a researcher in the first four years (full-time equivalent) of his/her research activity, including the period of research training. Applicants will be either starting their doctoral training, or will have completed no more than two full years of training (adjusted for possible previous part-time status) at the time the position is filled. The selected candidate will carry out his/her doctoral studies in the Information Technology and Electrical Engineering Doctoral Programme of the University of Oulu Graduate School (UniOGS) and must meet the minimal requirements to receive doctoral study rights as defined in http://www.oulu.fi/uniogs/requirements_for_admission.
Requirements for the post-doc
To be eligible for the postdoctoral position, the candidate must possess a doctoral degree in electrical engineering. Degree must have been completed with excellent grades by 30.4.2018 (or latest before the job contract starts) and the applicant has published IEEE Transaction articles and in flagship IEEE conferences. Moreover the applicants must have excellent analytical background and a drive to pursue fundamental research as evidenced by a solid publication record in top IEEE journals and transactions. Expertise in the optimization and analysis of heterogeneous wireless systems and machine learning is a major advantage.
The salary of the selected doctoral student will be set on levels 2 – 4 of the national salary scale for the teaching and research staff of Finnish universities. In addition, a supplementary remuneration will be given for personal achievement and performance (max. 46.3%). The total salary for these levels (before tax) currently ranges from about 1985 to 3621 Euros/month for full-time employment.
The salary of the selected post-doc will be set on level 5 of the national salary scale for the teaching and research staff of Finnish universities. In addition, a supplementary remuneration will be given for personal achievement and performance (max. 46.3%). The total salary for these levels (before tax) currently ranges from about 2865 to 4191 Euros/month for full-time employment.
Applications must be submitted using the electronic application form by Date, 1.3.2018, 24:00 (Finnish local time), with the following attachments as three separate pdf files:
Other relevant information
The eligible applicants fitting best in the research profile expected for the position may be invited to an on-site or remote interview. All applicants will be notified when the selection process is completed.
- Associate Prof. Mehdi Bennis, e-mail: mehdi.bennis(at)oulu.fi
- Concerning the general requirements and application procedures: Coordinator Mirjami Jutila, e-mail: mirjami.jutila(at)oulu.fi