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Research Fellow in Wireless Communications and Machine Learning

Employer
QUEENS UNIVERSITY BELFAST
Location
Belfast, Northern Ireland
Salary
£33,797 to £40,322 per annum
Closing date
30 Mar 2020

Application closing date 30/03/2020  
Salary £33,797 to £40,322 per annum  
Job category/type Research
Attachments      

Job description

This post is available until 31 December 2020 as part of a Newton Fund project to develop an early-warning system prioritized climate-change sensitive disease and disaster communications.

The appointee will be expected to undertake research into the investigation and development of solutions in the area of Wireless Communication, Machine Learning and to be an active member of the research project/team to ensure the success of the project. 

The project is available as soon as practical with an date of 31 December 2020 and will be conducted at the Institute of Electronics, Communications and Information Technology (ECIT), School of Electronics, Electrical Engineering and Computer Science (EEECS)

The successful candidate should hold a PhD in relevant disciplines such as Computer Science and Electronics and Electrical Engineering, have a background and expertise in wireless communications, optimisation, machine learning.

The succesful candidate will:

  • * Hold a PhD in Electronics, Electrical Engineering, Computer Science or closely related discipline.
  • * Have 3 years' experience with a demonstrable background in Wireless Communications, Disaster Communications, Machine Learning and Optimizations

Queen's University Belfast is a driver of innovation based on our talented, multinational workforce. Throughout the University, our academics are collaborating across disciplines to develop new discoveries and insights, working with outside agencies and institutions on projects of international significance. We are connected and networked with strategic partnerships across the world, helping us to expand our impact on wider society locally, nationally and globally. The University is committed to attracting, retaining and developing the best global talent within an environment that enables them to realise their full potential.

The School of EEECS is committed to the promotion of equality of opportunity and to creating and sustaining an environment that values and celebrates the diversity of its staff and student body. In particular, the School is committed to supporting the career progression of women in science, engineering and technology (SET) in line with the principles of the Athena SWAN Charter.  We are ranked 1st in the UK for knowledge transfer partnerships, (Innovate UK) 9th in the UK for University facilities (Times Higher Education Student Experience Survey 2018) and 14th in the UK for research quality (Times and Sunday Times Good University Guide 2019).

For full job details and criteria, please see the Candidate Information link on our website by clicking 'apply'. You must clearly demonstrate how you meet the criteria when you submit your application. For further information please contact Resourcing Team, Queen's University Belfast, BT7 1NN.  Telephone (028) 9097 3044 or email resourcing@qub.ac.uk 

The University is committed to equality of opportunity and to selection on merit.  We welcome applications from all sections of society and particularly from people with a disability.  

Fixed-term contract posts are available for the stated period in the first instance but, in particular circumstances, may be renewed or made permanent, subject to availability of funding.  

Candidate Information 
About the School 
Further Information about the Principal Investigator 
Further Information for International Applicants
Note to EEA Applicants on Brexit 

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