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    Research Fellow - Edinburgh, United Kingdom - Heriot-Watt University Malaysia

    Heriot-Watt University Malaysia
    Heriot-Watt University Malaysia Edinburgh, United Kingdom

    4 days ago

    Default job background
    Part time
    Description
    School of Engineering & Physical Sciences

    Contract Type:
    Full Time (1FTE), Fixed Term (12 Months)


    Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full time staff (Part time workers should pro rata this by their FTE).

    A Post-Doctoral Research Associate (PDRA) is needed for a research project, fully funded by the Engineering and Physical Sciences Research Council (EPSRC), initially for 12 months from 1st July 2023 or as soon as possible but can be extended depending on the availability of funding.

    The research project COG-


    MHEAR:

    Towards cognitively inspired 5G-IoT enabled, multi-modal Hearing Aids funded by UK research council (EPSRC), involves six academic partners including University of Edinburgh and industrial partners including Bell-Labs, Alcatel-Lucent Technologies, USA and Sonova AG.

    The research will explore and validate the new concept hearing-aid to transform hearing care by 2050, we aim to completely re-think the way HAs are designed.

    Listeners naturally combine information from both their ears and eyes:
    we use our eyes to help us hear.

    Adding in these new sensors and the processing that is required to make sense of the data produced will place a significant additional power and miniaturization burden on the HA device.

    We will need to make our sophisticated visual and sound processing algorithms operate with minimum power and minimum delay, and will achieve this by making dedicated hardware implementations, accelerating the key processing steps.

    In the long term, we aim for all processing to be done in the HA itself - keeping data local to the person for privacy.

    In the shorter term, some processing will need to be done in the cloud (as it is too power intensive) and we will create new very low latency () We are seeking to recruit a highly motivated PDRA willing to work as part of a team in this project to support the development of IoT communications links and machine learning.

    Applicants must have a PhD degree (or have submitted a PhD thesis) in Electrical, Electronic, computer engineering, Computer science or a related discipline, have excellent knowledge and strong background in Signal Processing for wireless communications/ networks (in particular physical/ cross layer technologies), MIMO signal processing, interference management, machine learning, beamforming, precoding, channel estimation, IoT, user interface technologies, mathematics and optimisation evidenced by high-quality research publications.

    The applicants must also have excellent written, oral presentation, and interpersonal skills, and software programming skills (Matlab and/or C/C++/JAVA/Python) appropriate for wireless communications simulation and testbed (USRP) work.

    It is desirable that the applicants have some industrial experience working in telecommunications/machine learning/networks/programming/testbed.

    The project provides an excellent opportunity for career development and to make an important contribution to a very challenging field in wireless communications and will offer opportunity work with world leading researchers.

    Possible placement opportunities with Bell-Labs and Alcatel-Lucent and SONOVA will be available through this post.
    The successful candidate will join the digital signal processing for intelligent systems and communications (SPCOM), Institute of Sensors, Signals and Systems (ISSS), supervised by Prof Mathini Sellathurai (
    Develop research objectives and proposals for own or joint research with the assistance of a mentor, if required. Conduct individual and collaborative research projects, making use of relevant research techniques and methods. Disseminate results of research in peer reviewed journals and conferences, and/or other appropriate media. Continue to update personal knowledge and to develop skills within own specialist research area. Maintain written records of research results and progress generated intellectual property and data analysis. Contribute to the production of research reports and publications.
    Write research reports and publications. Analyse and interpret the results of own research and generate original ideas bases on outcomes. Use initiative and creativity to identify areas for research, develop new research methods and extend the research portfolio.

    Build internal contacts and participate in internal networks for the exchange of information and to form relationships for future collaboration.

    Work with academic colleagues on areas of shared research interest and contribute to collaborative decision making. Join external networks to share information and identify potential sources of funds.
    Contribute, under supervision, to the planning of research projects, including the development of new grant/contract proposals. We are looking for a creative and highly motivated researcher willing to work as part of a team.
    The ideal candidate will have a strong theoretical understanding and an experimental background in one or more of the following fields: Signal Processing, Machine Learning, Wireless Communications, IoT, Wireless USRP Testbeds
    Good communication skills and an appropriate publication record are essential. A working knowledge of Python and C Programming are desirable.

    General tasks will involve scientific research; analysis and interpretation of data; daily oversight of the activities of postgraduate and undergraduate project students in the laboratory; communication with other investigators involved in this collaborative project; preparation of scientific papers; presentation of research at conferences.

    The successful candidate will be expected to conduct and lead their own experiments whilst also supervising the activities of junior group members and PhD students.

    Responsibilities will also include assistance in the day-to-day maintenance of the experimental facilities, liaising with companies and external collaborators.

    The successful candidate is also expected to be involved in our outreach activities, with roles that can be tuned to the specific preferences of the candidate but will involve for example interviews, talks for the general public and preparation of experimental demonstrators.

    Possess and maintain sufficient breadth or depth of specialist discipline knowledge and or research methods and techniques to work in own area.

    Applicants should hold a PhD (or submitted PhD Thesis before the start date) in a relevant area of Electrical Engineering or Computing or related subject (or a thesis submitted by the start date of the project)

    A record of high quality publications, and evidence of contribution to the writing of these publications proportionate to opportunity.

    Must have proven academic ability and a demonstrable high level of technical competence in signal processing and wireless communications.

    Wireless Communications, IoT, Machine Learning and Wireless USRP Testbeds.
    Experience in leading the writing of scientific papers.
    Experience of programming for data acquisition (e.g. LabVIEW, Matlab, Python) and analysis.
    PhD students and undergraduate project students.
    Experience of research-student supervision.
    Energy and enthusiasm for the project.

    This post will be placed within the digital signal processing for intelligent systems and communications (SPCOM) group, Institute of Signals, Sensors and Systems (ISSS) and in collaboration with National Robotarium on Assistive Living and Health.

    The digital signal processing for intelligent systems and communications (SPCOM) group is involved in a range of research projects at the leading edge of advanced signal processing algorithms, information-theoretic studies, and real-world effects with key applications in communications systems, remote sensing, IoT hearing aid designs and Radar.

    Broader application areas are also addressed through the team's involvement in the University Defence Research Centre. Industrial collaborators include Bell-Laboratories, Alcatel-Lucent, Defence Science and Technology Lab (DSTL), and QinetiQ.

    Heriot-Watt University has established a reputation for world-class teaching and leading-edge, relevant research, which has made it one of the top UK universities for innovation, business and industry.

    Heriot-Watt University has five campuses: three in the UK (Edinburgh, Scottish Borders and Orkney), one in Dubai and one in Malaysia.

    The University offers a highly distinctive range of degree programmes in the specialist areas of science, engineering, design, business and languages.

    Heriot-Watt University is also Scotland's most international university, boasting the largest international student cohort.

    At Heriot Watt we are passionate about our values and look to them to connect our people globally and to help us collaborate and celebrate our success through working together.

    Our research programmes can deliver real world impact which is achieved through the diversity of our international community and the recognition of creative talent that connects our global team.

    Our flourishing community will give you the freedom to challenge and to bring your enterprising mind and to help our partners with solutions that can be applied now and in the future.

    Join us and Heriot Watt will provide you with a platform to thrive and work in a way that also helps you live your life in balance with well-being and inclusiveness at the heart of our global community.

    Equality and diversity are all about maximising potential and creating a culture of inclusion for all.

    Heriot-Watt University values diversity across our University community and welcomes applications from all sectors of society, particularly from underrepresented groups.

    For more information, please see our website and also our award-winning work in Disability Inclusive Science Careers .
    We welcome and will consider flexible working patterns e.g. part-time working and job share options.
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