23/11/2018
Marie Skłodowska-Curie Actions

Marie Curie Fellow: Early Stage Researcher (ESR): Network Coding Optimization

This job offer has expired


  • ORGANISATION/COMPANY
    The University of Manchester
  • RESEARCH FIELD
    EngineeringElectrical engineering
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    20/12/2018 00:00 - Europe/London
  • LOCATION
    United Kingdom › Manchester
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    37.5
  • OFFER STARTING DATE
    01/06/2019
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions
  • REFERENCE NUMBER
    SE-013093
  • MARIE CURIE GRANT AGREEMENT NUMBER
    812991
  • IS THE JOB RELATED TO STAFF POSITION WITHIN A RESEARCH INFRASTRUCTURE?
    Yes

This ESR will focus on network optimisation at the PHY layer. It will explore and design low polynomial complexity lattice (LNC) and physical (PLNC) layer network coding techniques for the case of large scale distributed and energy-autonomous access-point formations with the objective to maximise the longevity of all the network nodes. The selection of the optimal mapping function will take into consideration not only the channel characteristics but also the non-uniform power availability amongst the network nodes. Both compute and forward and integer forcing approaches will be considered and the trade-off between quantisation level, performance and longevity will be evaluated. A further objective of this work will be to address minimising side information exchange in T3.3 which could be a significant burden on power limited networks. The ESR will utilise findings on energy models and performance bounds from Task 3.1.

Expected results:

*Novel low-complexity and energy-efficient LNC and PLNC techniques that complement T3.2
*Establishing the trade-off relationship between quantisation level, performance and energy longevity in the network
*Performance bounds of the established techniques

Planned Secondment(s): AIT - 3 months: to advance LNC and PLNC techniques using dynamic frequency mapping. CNRS–3 months: to utilize backhauling optimization results in refining the network level optimization.

Duties and Responsibilities

*Undertake postgraduate research in support of the agreed doctoral research project.
*Work closely with the academic supervisors to ensure the compatibility of the individual project with the overall goals of PAINLESS.
*Present and publish research to both academic and non-academic audiences.
*Attend and participate in academic and non-academic conferences, events and seminars.
*Attend and participate in all training events and supervisory meetings.
*Be seconded to other network partners as necessary to fulfil the grant obligations.
*Prepare progress reports and similar documents on research for funding bodies, as required.
*Contribute to the delivery and management of the wider Programme, including attending and participating in programme committee meetings.

As job descriptions cannot be exhaustive, the ESR may be required to undertake other duties,
which are broadly in line with the above duties responsibilities.

Benefits

The successful candidates will be a full time employees and will be paid in accordance with the MSCA rules. Each post is funded by the network for 36 months.    This post will support a dedicated PhD programmes focused on Network Coding Optimization.

Eligibility criteria

As the project is funded within the Marie Skłodowska Curie Actions (MSCA), researchers can be of any nationality but the Marie Sklodowska-Curie mobility rules apply. To be eligible applicants:

  • must not have resided or carried out their main activity (work or study) in the UK for more than 12 months in the previous 36 months immediately before the date of recruitment (normally this means the first day of employment for the purposes of the project).
  • must not have more than 4 years’ research experience, and
  • must not hold a PhD.”

Website: http://www.manchester.ac.uk

Selection process

The selection and recruitment processes of the ESRs will be in accordance with the European Charter and Code of Conduct for the Recruitment of Researchers. The recruitment process will be open, transparent, impartial, equitable, and merit-based. There will be no overt/covert discrimination based on race, gender, sexual orientation, religion or belief, disability or age. To this end, the following selection criteria for the recruitment of the ESRs will be considered:

*Curriculum vitae
*Academic performance (diplomas, university transcripts, etc.
*Research and industrial experience
*Awards and fellowships
*Publications and patents
*Research, leadership, and creativity potential
*English knowledge
*Other relevant items based on the specific candidate

The recruitment process will adhere to the guidelines described in the Grant Agreement of the PAINLESS project. At the network’s level, the recruitment panel will include a minimum of 3/6 members of the project in order to guarantee gender- and sector-balance.

Applications close on 20/12/2018 and interviews are anticipated to be held Feb 2019.

The applications will be analysed after the application deadline, and the shortlisted candidates will be invited to a Skype interview.

University of Manchester job advert link: https://www.jobs.manchester.ac.uk/internal/displayjob.aspx?jobid=16447

Additional comments

About PAINLESS

The explosive growth of applications and industrial sectors that rely on broadband connectivit, is set to stretch the demand for wireless networks beyond the reach of the power grid infrastructure. Access points are being deployed on board of drones, while more than 84,000
hybrid-energy base stations are expected to be deployed annually in remote areas by 2020. Portable network nodes that are energy-autonomous and operate detached from the power grid will become indispensable in the coming applications of wireless networks. Energy-autonomy presents immense challenges for the wireless network design and imposes a complete re-think of technological solutions. PAINLESS has the visionary aim to establish a training and research platform to pioneer green, energy-autonomous portable network nodes which are selfsubsistent and limitlessly-scalable, to satisfy future demands with minimal infrastructure. It promises a paradigm shift by integrating and jointly optimising wireless networks with renewable energy sources, radiated energy harvesting and airborne access points, as well as establishing disruptive performance benchmarks for the combined wireless power-andinformation
distribution. Our results will kick-start an innovation ecosystem for infrastructure and service providers of ICT to develop and commercialise a new generation of autonomous, sustainable and power-independent communication networks with self-organising functionality, to enable 100% coverage in urban environments in a power-efficient manner; provide network access to all types of emergency, disaster and special events areas; and connect remote / developing areas with problematic infrastructure. PAINLESS relates to H2020-MSCA with a vision to produce the first generation of experts in a radically new wave of energy autonomous networks that will revolutionise the wireless networking technology landscape and the plethora of associated vertical business sectors.

Web site for additional job details

Required Research Experiences

  • RESEARCH FIELD
    EngineeringElectrical engineering
  • YEARS OF RESEARCH EXPERIENCE
    1 - 4

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Engineering: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

A good Undergraduate degree and a postgraduate Master’s degree (or equivalent) in electronic or electrical engineering, or a physical sciences subject.

*Excellent written and verbal communication, including presentation skills.
*Highly proficient English language skills.
*Excellent organisational skills, attention to detail and the ability to meet deadlines.
*Ability to think logically, create solutions and make informed decisions.
*Willingness to work collaboratively in a research environment.
*A strong commitment to your own continuous professional development.
*Ability to travel and work across Europe.

Essential:
*Early-Stage Researchers (ESRs) shall at the time of recruitment by the host organisation be in the first four years (full-time equivalent research experience) of their research careers and not yet have been awarded a doctoral degree. Full-time equivalent research experience is measured from the date when a researcher obtained the degree which would formally entitle him or her to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the researcher is recruited.
*At the time of recruitment by the host organisation, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation for more than 12 months in the three years immediately prior to the recruitment date.
Compulsory national service and/or short stays such as holidays are not taken into account.

Specific Requirements

As the project is funded within the Marie Skłodowska Curie Actions (MSCA), researchers can be of any nationality but the Marie Sklodowska-Curie mobility rules apply. To be eligible applicants:

  • must not have resided or carried out their main activity (work or study) in the UK for more than 12 months in the previous 36 months immediately before the date of recruitment (normally this means the first day of employment for the purposes of the project).
  • must not have more than 4 years’ research experience, and
  • must not hold a PhD.”

Work location(s)
1 position(s) available at
University of Manchester
United Kingdom
Greater Manchester
Manchester
M13 9PL
Sackville Street

EURAXESS offer ID: 357928

Disclaimer:

The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.

 

Please contact support@euraxess.org if you wish to download all jobs in XML.