Вакансия на должность Аспирант (Ultra-dense cell-free mmWave deployment)

Общая информация
Дата публикации вакансии: 04-09-2019
Уровень з/п: 140.000 руб.
График работы: Полный рабочий день
Тип вакансии: Работа
Требуемая квалификация: Аспирант, Выпускник специалитета, Выпускник магистратуры
Описание вакансии
All applications proceed through the on-line recruitment portal on the b5g-mints.eu website. Candidates apply electronically for one to maximum three positions and indicate their preference. Candidates provide all requested information including a detailed CV – Europass format obligatory – and motivation letter. During the registration, applicants will need to prove that they are eligible (cf. ESR definition, mobility criteria, and English language proficiency). The deadline for the on-line registration is 31 October 2019.

The MINTS Recruitment Committee selects between 20 and maximum of 30 candidates for the Recruitment Event which will take place in Leuven (Belgium) (Dec 2019). The selected candidates provide a 20-minute presentation and are interviewed by the Recruitment Committee. Candidates will be given a domain-relevant peer-reviewed paper (prior to the recruitment event) by their prioritised Supervisor and will be asked questions about this paper during the interview to check if the candidate has the right background/profile for the ESR position. Prior to the recruitment event, skype interviews between the Supervisors and the candidates are recommended, along with on-line personality tests. In order to facilitate their travel, selected candidates (from outside Belgium) receive a reimbursement up to 500 euros (paid by the prioritised Supervisor). In order to avoid delays in reimbursements, candidates are asked to keep all invoices and tickets (cf. train, plane, hotel…). The final decision on who to recruit is communicated within one week after the Recruitment Event (Dec 2019). The selected ESRs are to start their research as quickly as possible (target: 1 March 2020).
To design an algorithm to assign users to mmWave hybrid antennas in ultra-dense cell-free networks;
To optimize the management overhead of optimal user/antenna allocation;
To improve the scalability of cell-free mmWave networking by leveraging available network information such as the clients’ location.
Wireless networking protocols, network architecture, optimization, machine learning (the applicant should be proficient in at least one or two of the skills)
The successful candidates will receive an attractive salary in accordance with the MSCA regulations for ESRs. The fellowship will consist of a competitive salary. The exact (net) salary will be confirmed upon appointment and is dependent on local tax regulations and on the country correction factor (to allow for the difference in cost of living in the different EU Member States). The salary includes a living allowance, a mobility allowance and a family allowance (if married).  The guaranteed PhD funding covered by the training network is for 36 months (i.e. EC funding, additional funding is possible, depending on the local Supervisor, and in accordance with the regular PhD time in the country of origin). In addition to their individual scientific projects, all fellows will benefit from further continuing education, which includes internships and secondments, a variety of training modules as well as transferable skills courses and active participation in workshops and conferences.