R210531 - Programmer

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Informatics & Digital Engineering
Location:  Aston University Main Campus
Salary:  £42,149 to £50,296 per annum (pro-rata)
Grade:  Grade 09
Contract Type:  Fixed Term (6 months)
Basis:  Full Time
Closing Date:  23.59 hours GMT on Tuesday 14 December 2021
Interview Date:  Thursday 06 January 2022
Reference:  R210531
Release Date:  Monday 29 November 2021

The Aston Forensic Speech Science Laboratory (FSSL) conducts research and development aimed at improving casework capabilities in forensic speech science. FSSL is a member of the department of Computer Science and Aston Institute for Forensic Linguistics (AIFL).  Computer Science conducts research including in AI, robotics, machine learning, natural language processing, software engineering and cyber security. The mission of AIFL is to improve delivery of justice through the analysis of language. This is an opportunity to work on cutting edge machine learning technologies and contribute to real-world improvements in justice.

We are developing a forensic voice comparison system based on the state of the art in automatic speaker recognition. The system uses deep neural networks and statistical modelling to assist with determining the likelihood of the sources of two audio recordings being the same speaker.

We are seeking an experienced Python machine learning programmer to develop the alpha version of the software into a beta version suitable for end-user testing. Knowledge of forensic voice comparison is not required. There are three main aspects to the work: 

1) Working through a list of issues identified during alpha testing to improve the robustness and efficiency of the system, particular in respect of GPU use. The candidate would be expected to be proactive in testing, identifying and resolving new issues.

2) Designing, implementing and testing an appropriate scripting method for end users to interact with the system to create and run forensic voice comparison use cases.

3) Designing, implementing and testing a simple GUI interface to produce such scripts.

Anonymous shortlisting will be carried out for this role as part of Aston University’s commitment to equality and diversity and ensuring a fair and consistent approach to recruitment. Personal details that are included on application forms, including the candidate’s name and address will not be disclosed to the shortlisting panel. We kindly ask that candidates do not send CVs or cover letters as these will not be considered.

Further particulars and application forms are available in alternative formats on request i.e. large print, Braille, tape or CD Rom.

If you have any questions, please do not hesitate to contact HR via [email protected]

Aston University is an equal opportunities employer and welcomes applications from all sections of the community.