As part of our work in Deep Learning based Wireless Communications, the UCL Electronic and Electrical Engineering, Information and Communication Engineering Group, invites applications for one (1) postdoctoral research position in Neural Network design for Wireless Communications.The scope of this project is to develop fundamentally new neural network architectures, models, and algorithms specifically tailored to wireless communications.
We are looking for a talented postdoctoral researcher to join our team and help us fulfil the project’s goals, producing quality research. The work will involve Neural Network design, training, simulation and testing, and publishing high quality research papers in high-ranked journals. The successful candidate will work within an established research team led by Dr Christos Masouros.
Main purpose of the job
Undertaking research, design and development in the context of the EPSRC-funded LeanCom Project (https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/S028455/1) in the design of new transceiver architectures powered by Deep Neural Networks for complex communications systems (including M2M and IoT). This will involve the conception of fundamentally new neural network architectures, models, and algorithms specifically tailored to address challenges arising in modern communications systems and networks.
Duties and Responsibilities
- To participate in the fundamental design, validation, and fine tuning of data-driven solutions based on Deep-Learning for modern communications systems according to the work packages of the LeanCom project. Concretely, this post will involve research elements such as:
- Design of Neural Network architectures, models, and learning algorithms tailored specifically for wireless communications systems, including the conception of new loss functions that can cater for important performance metrics such as error rate, complexity and latency,
- Design of Adaptive NNs models to accommodate for wireless communications channel variations
- Design of hardware-efficient NNs that are capable to strike the right balance between complexity vs communications performance
- Signal processing based on NNs to accommodate transceiver hardware impairments and low-specification hardware,
- System-level simulation based on standards compatible parameters to evaluate performance of the above,
- Testbed-based implementation, validation and evaluation of the above concepts.
- To lead the drafting and submitting of papers to high quality peer reviewed conferences and high-profile journals.
- Presenting the research at international conferences and project meetings.
- To contribute to the preparation and drafting of research bids and proposals related to these topics.
- To contribute to the overall activities of the research team and department as required. To contribute to the induction and direction of other research staff and students as requested.
- The postholder will carry out any other duties as are within the scope, spirit and purpose of the job as requested by the line manager or Head of Department. As duties and responsibilities change, the job description will be reviewed and amended in consultation with the postholder.
- The postholder will actively follow UCL policies including Equal Opportunities and Race Equality policies.
- The postholder will maintain an awareness and observation of Fire and Health & Safety Regulations.
If the successful candidate has not yet been awarded their PhD, appointment will be made as a Research Assistant (Grade 6B)*. Payment at Grade 7 will be backdated to the date of final submission of the PhD thesis including corrections, once the PhD has been awarded.
* Research Assistant (Grade 6B): point 24-26. Salary range £30,922 to £32,607 (inc. London Allowance of £3,092 pa).
How to Apply
Interested applicants are encouraged to make Informal enquiries about the post to Dr Christos Masouros email@example.com
All applications should be submitted via UCL online
recruitment system at the following link:
Job Reference: 1807153
If you have any queries regarding the application process please contact Vicky Coombes at firstname.lastname@example.org quoting reference 1807153
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