We wish to appoint a Research Assistant to work on the £1.9M UKRI Future Leaders Fellowship “Beyond Exabit Optical Communications – from new devices, via new dimensions to new systems”. This position is at UCL, to work with the Optical Networks Group. This programme envisages how to transform ultrawideband spatial multiplexing technology to drive future optical fibre networks by driving optical transceivers >100-fold integration to enable the benefits of multi-mode/core.
The aim of the programme is to transform optical communications to go beyond current single-mode fibre technology limits with sustainable energy-consumption per bit. The vision is to introduce ground-breaking spatial modulation in ultrawideband transceivers capable of interfacing advanced multi-mode/core fibres with hundreds of spatial pathways.
About the role
We are currently looking for Research Assistant to take a proactive role in high-speed, space multiplexing and ultrawideband optical fibre transmission systems. This research will involve the implementation of novel machine learning techniques and digital signal processing algorithms, assisted by bespoke hardware.
- Participating in research into design of SDM transceivers and high-speed transmission systems.
- Developing simulation models, machine learning (ML) techniques, and digital signal processing (DSP) algorithms in MATLAB and Python for communication systems and networks
- Contribute to experiments to validate the simulation models, ML techniques and DSP algorithms
The post is available for an immediate start with an end date of 31/10/2024. Further funding to support the post may be available. The salary scale is Grade 6B (£35,702 – £37,548 per annum, inclusive of London Allowance).
The successful applicant should have a strong (first or upper second) PgDip or master’s degree in Electronic Engineering or a related discipline. Fluency in Python and/or MATLAB programming, evidenced by previous usage in undergraduate and/or postgraduate dissertation project work and/or independent research, is essential. Research experience in machine learning or digital signal processing for communication systems would be valued.
Given that the research will be disseminated at conferences and through journal papers, applicants should have excellent written and spoken English, and presentation skills.
Knowledge & experience of optical transmission systems and networks including simulations and/or hands-on experimental research work are desirable.
Please access the full job description at the apply link to learn more about the requirements for the role.
- To apply for the role, click the ‘Apply’ button.
- Applications close on 14th June at 23:59
- Please access the apply link for contact details for enquiries about the post.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits.
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Our commitment to Equality, Diversity and Inclusion
We particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality-diversity-inclusion/
Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.
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