|1) Job Details
Job title: Research Associate (Grade 7)
School/Support Department: School of Informatics
Line manager: Principal Investigator for the research programme
2) Project Details
SpeechWave is a collaborative project with King’s College London, and has several project partners including the BBC, Emotech, Quorate Technology, and SRI International. The overall approach in SpeechWave will be the development of new machine learning and signal processing approaches to speech recognition which operate in high-dimensional time-domain spaces – raw waveform based speech recognition.
3) Job Purpose
Research staff are normally employed to work on a particular project, based on restricted funding arising from a specific source, such as a UK Research Council grant or similar. (Occasionally a post holder will work on more than one project). This job description sets out the very general nature of such a post. Specific responsibilities will be determined by the project itself, and the member of staff responsible for that project. This generic job description is accompanied by the further particulars for the post which specifies the project areas of work.
4) Representative Work Activities
In general, to support the Principal Investigator of a specific project in achieving the goals of that project, under his/her direction.
• Undertaking a specific role in the research project under supervision
• Taking responsibility for some elements of the planned research
• Planning and carrying out a work programme appropriate to the research activity
• Developing own research portfolio in related areas
• Contributing to the writing of research grants
• Contributing to dissemination and publication of personal and/or research teams findings as appropriate.
5) Planning and organising
The post holder will have to agree a general plan of research with the Principal Investigator and progress will be monitored at pre-scheduled meetings.
6) Problem Solving
The problems to be faced are purely scientific and the post holder will supply the detailed expertise for delivering a solution. They will be expected to achieve this under instruction by and with advice from the Principal Investigator and other academic and senior research staff.
7) Decision making
The post holder will determine the specific techniques and approaches to be used in the course of the research, in agreement with the principal investigator.
8) Key contacts/relationships
The post holder will principally interact with the Principal Investigator and other project staff and students. More generally, the post holder will discuss the work, and other questions of scientific interest, with other members of the School. The postholder will be expected to represent the University externally, by presenting their work at specialist meeting or workshops in the relevant research area. They may also be required to provide advice and support to relevant students.
9) Knowledge, skills and experience
You should have the following:
• A PhD (or close to completion of a PhD) in speech technology, machine learning, signal processing, artificial intelligence, or a related discipline
• Strong programming skills in Python and/or C++, preferably with experience in machine learning, acoustic modelling for speech recognition, end-to-end speech or language processing systems, or signal processing
• Research experience in machine learning, speech processing, or signal processing
• Experience of developing models and algorithms for machine learning
• Experience of developing models and algorithms for speech processing
• Experience with speech recognition toolkits, in particular Kaldi
• Experience with deep learning toolkits, such as TensorFlow or PyTorch
• Research experience using convolutional or recurrent networks
• Working knowledge of GPGPU software implementation
• A good track record of publications in the field
You are also expected to work independently, have strong communication skills and be able to work in a team.
Recruitment will aim at selecting those candidates with the best possible performance in these criteria.
There are no line management responsibilities associated with this post.
Please feel free to contact Steve Renals firstname.lastname@example.org or Peter Bell email@example.com for informal enquiries.
All applicants should apply online by clicking the apply link at the bottom of this page and submitting an up to date. The application process is quick and easy to follow, and you will receive email confirmation of safe receipt of your application. The online system allows you to submit a CV and other attachments. We ask that candidates for this position attach their CV and a research statement to their application as a minimum.
The closing date is 5pm GMT on
Eligibility to Work
In accordance with the Immigration, Asylum and Nationality Act 2006 and Immigration Act 2016 the University of Edinburgh, as an employer, has a legal responsibility to prevent illegal working and therefore must check that all employees are entitled to work in the United Kingdom (UK).
To do so, the University requires to see original documents evidencing right to work in the UK before commencement of employment and this is normally carried out at interview. Details will be provided in any letter of invitation to interview.
For further information on right to work please visit our right to work webpage
If you are from outside the EEA and not currently eligible to work in the UK, there are visa routes that may be available to you, for example:
- Tier 1 (Exceptional Talent): If you are an academic in the field of sciences; humanities; engineering; medicine; digital technology; or the arts, it may be possible for you to apply for a Tier 1 (Exceptional Talent) visa. This route requires you to apply to be endorsed as an internationally recognised leader or emerging leader in your particular field by a designated competent body (Arts Council England, British Academy, Royal Academy of Engineering, Royal Society, Tech City UK). However, if you are applying for a senior academic role, e.g. Professor/Reader there is an accelerated route to endorsement. Further information can be found on the UKVI website
- Tier 2: The University is a UKVI licensed sponsor and is able to issue a Certificate of Sponsorship (CoS) to successful candidates who are offered highly skilled roles and meet the eligibility criteria. The CoS enables candidates to apply for a Tier 2 (general visa).
Please note if you were last granted leave to stay in the UK in any Tier 2 category in the 12 months immediately preceding an application and the leave has
• ended or expired.
• the CoS which led to that grant of leave was issued for more than 3 months, and
• you are either:
o applying for entry clearance from outside the UK, or
o you are in the UK and had a previous period of Tier 2 leave, but then changed (‘switched’) into a different immigration category and now wishes to apply again under Tier 2.
You must wait 12 months before applying again.
Further information about whether you require a visa and other visa routes can be found at: www.gov.uk/check-uk-visa
Conditions of Employment
This role is grade UE07 and therefore the post holder is automatically included in membership of the Universities Superannuation Scheme (USS), subject to the USS membership criteria, unless they indicate that they choose not to join the Scheme.
For further information please visit our Pensions website.
The role is grade UE07 and attracts an annual salary of £33,199 – £39,609 for 35 hours, each week. Salary is paid monthly by direct transfer to your Bank or Building Society account, normally on the 28th of the month. Salaries for part-time staff are calculated on the full-time scales, pro-rata to the Standard Working Week.
The University reserves the right to vary the candidate information or make no appointment at all. Neither in part, nor in whole does this information form part of any contract between the University and any individual.