Nine Ph.D. positions in science are available in the SCION research project under the Doctoral Network (DN) Marie Skłodowska-Curie Actions (MSCA) call of the European Commission. The SCION focuses on the study of Secured and Intelligent Massive Machine-to-Machine Communications for 6G. Doctoral Candidates (DCs) will be supervised by researchers across the network, will be exposed to different sectors via planned placements, attend summer schools, and contribute to and organize workshops and conferences. DCs will be funded for 3 years and will pursue a doctoral degree during this time.
Deadline: 18/03/2023 – 5:00 pm (Europe/Brussels)
The following Ph.D positions are available
- DC1: Design of Semantic encoder and decoder.
- Recruited by University of ESSEX, United Kingdom. The thesis is to design Semantic (Source) Encoder that detects and extracts semantic content (e.g., meaning) of the source signal and compresses or removes the irrelevant information. For further inquiries, please contact: leila.musavian@essex.ac.uk
- For applicants to be considered for DC1, Please also check the local application here for local arrangements and requirements.
- DC Position 2: Optimal power splitting for simultaneous power and information transfer
- Recruited by University of ESSEX, United Kingdom. The thesis is to analyze the power splitting factor for achieving the overall communication performance of the machine-to-machine network and the implementation issues within the transceiver of the sensor nodes. For further inquiries, please contact: leila.musavian@essex.ac.uk
- DC3: Joint optimized Shannon and Semantic encoder and decoder
- Recruited by KTH, Sweden. The thesis is to use semantic entropy for designing efficiency semantic encoder and decoder, which is defined based on the specific semantic communication scenario. For further inquiries, please contact:
- DC4: Digital Twin modelling for M2M use case
- DC4 will be recruited by KTH, Sweden. The thesis entitled Digital Twin modelling for M2M use case is to investigate the modelling of Virtual Entity, Phyical Entity, connection and service system for Machine to machine by using graph model. For further inquiries, please contact: mingx@kth.se
- DC5: Efficient Reconfigurable Mechanisms for Fault Recovery
- Recruited by Eindhoven University of Technology, Netherlands. The thesis is to design an event-driven approach to classify different faults and to activate a cooperative communication based M2M connectivity recovery mechanism. For further inquiries, please contact: k.c.joshi@tue.nl
- For applicants to be considered for DC5, you must also complete the local application here by the same deadline.
- DC6: AoI approaches for Real-time Network Malfunction Forecast and Detection
- Recruited by Izmir Institute of Technology, Türkiye. The thesis is to develop novel compression, pruning, and simplification methods to significantly decrease the complexity and size of Age of Information (AoI) models for the traffic between machines and the base station, exploiting the power of convolutional neural network. For further inquiries, please contact: bernaozbek@iyte.edu.tr
- The qualified DC6 must fulfill the requirements here.
- DC7: Cyber-Physical System (CPS) Requirement Analysis and System Architecture Design
- Recruited by Huawei, Germany. The thesis is to design and develop a novel framework that allows the distribution of intelligence to optimize network functionalities from the physical to the application layer by AI/ML tools. For further inquiries, please contact: Xueli.An@huawei.com
- DC8: Blockchain modelling and optimization for Intelligent Digital Twin
- Recruited by Data Magnum Ltd., Portugal. The thesis is to develop and implement a novel blockchain-based framework for Intelligent Digital Twin by ensuring transparency, decentralized data storage, data immutability, and machine-to-machine communication in industrial sectors. For further inquiries, please contact: francisco.ferrao@data-magnum.com
- DC9: Transfer learning to Forecast Faults based on Knowledge from Existing Network
- Recruited by Data Magnum Ltd., Portugal. The thesis is to exploit the fault classification knowledge from the rich existing network management and develop a deep convolutional transfer learning-based method for fault classification. For further inquiries, please contact: francisco.ferrao@data-magnum.com
Benefits
- Monthly living allowance: 3,400 euro/month (Gross Salary); this amount is then adjusted through the application of a country correction coefficient to the living allowance of the country in which the researcher is recruited. The country correction coefficients are indicated in Table 1 of the MSCA Work Programme
- Monthly mobility allowance: 600 euro/month
- Monthly family allowance, if applicable and depending on the family situation: 660 euro/month.
- All researchers will be recruited under an employment contract that includes social security coverage, pension and taxation.
- All allowances will be subject to the employment rules of the host institutes (e.g., employment tax, overhead etc). The actual salaries may be variable, depending on hosts.
Eligibility criteria
- Comply with the mobility rule, meaning that they must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately before the recruitment date.
- Comply with the doctoral candidate criteria, meaning that at the time of recruitment by the hosting institution they have not been awarded a doctoral degree.
- Other eligibility criteria may apply depending on the recruitment beneficiary. Please check the doctoral candidate announcement for further details.
Selection process
- Eligibility check: Our recruitment committee will check that each application is complete and that applicants fulfil the eligibility criteria described in the previous section.
- Remote Evaluation: Each eligible application will be assessed independently by the recruitment committee, according to the project interests indicated by the applicants. The recruitment committee will select up to four candidates per position to pass through to the following stage.
- Online interviews: Short-listed candidates will be invited for an online interview. Those who have been positively evaluated but not initially called for interviews will be put on a reserve list. Short-listed candidates will be interviewed by their potential supervisor and two additional supervisors from the network.
- Notification of the selection: Our recruitment committee will notify short-listed candidates, and those selected will be put in touch with the corresponding principal investigator and the HR Department of the hosting institution to initiate the hiring procedure.
- Applicants who have not been successful but who have received a positive evaluation will be put on a waiting list.
To apply
The deadline for application is 18/03/2023 – 5:00 pm (Europe/Brussels). Please send an email to scionproject@iyte.edu.tr by selecting a maximum of two DC positions and provide the following information (in English) in one single PDF file:
- Personal information, such as name, date of birth, nationality, and contact details.
- Detailed Curriculum vitae.
- Motivation letter (maximum 2 pages) highlighting your research experience and academic achievements and explaining why you are interested in SCION and the selected PhD thesis topics.
- A scanned copy of certified academic records. These documents must show the grades attained in exam periods, when applicable, and evidence that the required degree will be obtained by the expected time of recruitment if it has not already been awarded.
- Contact details of at least two referees from university lecturers or scientists who are familiar with your academic work and who can judge your potential as a predoctoral researcher.
For further information about SCION, click here.
Source here.
PhD United Kingdom Sweden The Netherlands Turkey Germany Portugal computer science Engineering