Research Assistant - Paisley, United Kingdom - University of the West Scotland

University of the West Scotland
University of the West Scotland
Verified Company
Paisley, United Kingdom

3 weeks ago

Tom O´Connor

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Tom O´Connor

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Description

Salary

AC1:
£32,982 - £39,348 per annum


Contractual hours
35


Basis
Full Time


Job category/type
Academic


Date posted
02/05/2024


Job reference
REQ000127


School of Computing, Engineering & Physical Sciences

Paisley Campus

Research Assistant - REQ000127

Fixed Term: 24 months

THE POST - Research Assistant


You will join a dedicated team who strive to continuously inspire our students and wider University community - and, through modern teaching and impactful research, continue to deliver innovative solutions to some of the world's biggest challenges.


Join the groundbreaking WEATHER project led by the University of the West of Scotland (UWS), in collaboration with University of KwaZulu-Natal (UKZN), the RCSI Faculty of Nursing and Midwifery, and University of Portsmouth, funded by the National Institute for Health and Care Research (NIHR).

The project aims to develop a predictive warning system intervention (PWSi) designed to mitigate risks linked with Extreme Weather Events (EWEs) in KwaZulu-Natal, South Africa.

Leveraging telecommunication networks, particularly 5G networks, the system will deliver timely warning alerts to communities, enabling proactive response measures and reducing the potential impact of EWEs.

The project will involve working with international research groups and projects, working with other researchers and PHD students with access to professional training.


As a Research Assistant, you will play a vital role in the research project focused on predicting the outbreak of disease linked to extreme weather events through mathematical modeling and data-driven AI algorithms.

Working under the guidance of Professor Muhammad Zeeshan Shakir, Director of UWS Digital Connectivity and Innovation for Sustainable Futures, you will contribute to the design and development of predictive models using environmental data and health informatics.

Your responsibilities will include conducting research, producing high quality research papers, analyzing data, and collaborating with research teams from collaborating institutions to advance our understanding of the relationship between extreme weather events and disease outbreaks.

This role offers an exciting opportunity to contribute to cutting-edge research aimed at addressing challenges in public health and sustainability.


  • MSc or equivalent in in Electrical/Electronic Engineering or Computer Engineering/Science or Mathematics or related areas.
  • Experience in development of AI/Machine learning algorithms with proven track record in using machine learning and artificial intelligence software libraries (e.g., Scikitlearn, TensorFlow, Keras).
  • Experience in technical writing (research publications) and preparation of reports.
  • Strong analytical and problemsolving skills.
  • Proficiency in programming languages (e.g., Python, Java, C/C++, MATLAB).

ABOUT US
University of the West of Scotland is one of Scotland's largest and most dynamic modern universities.

Our reach across the country, together with our London campus, means that UWS is a significant force in global knowledge creation, innovation, and a leading provider of undergraduate, postgraduate and research degree education.

Our degrees provide students with a transformational experience; equipping them with highly sought-after graduate skills that set them up for global success in world-leading sectors, industries and businesses.


UWS is officially ranked by Times Higher Education in the top 200 universities worldwide under 50 years old (2023 Young University Rankings).


The School of Computing, Engineering & Physical Sciences offers industry-focussed teaching and research opportunities that deliver solutions to real-world problems.

You will join an innovative and supportive team, playing a key role in driving forward our ambition to deliver transformational change, through outputs that have a tangible, early and positive impact on society across the globe.

Our students benefit from state-of-the-art facilities, extensive expertise in research and development, and our robust collaborations with multinational companies across the world.


About UWS DCISF:


Digital Connectivity & Innovation for Sustainable Futures (DCISF), an integral research group within Artificial Intelligence Visual Communications and Network Research Institute, stands at the forefront of digital innovation.

With substantial funding from prestigious entities such as NIHR, QNRF, EU programs, UK and Scottish Governments, British Council, and Innovate UK, our group has spearheaded groundbreaking research and received recognition through numerous awards.

Among our accolades are the Fred W. Ellersick Award in 2021, Innovate UK Award of Excellence in 2023 and 2018, and several best research paper awards.

At DCISF, our vision is clear: to revolutionize automation for a sustainable future. We are committed to pioneering digital connectivity solutions that are reliable,
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