|Location:||Dublin - Ireland|
|Salary:||€39,131 to €45,158 or £32,856.70 to £37,917.32 (converted salary*) per annum. Appointment on the above range will be dependent on qualifications and experience|
|Placed On:||22nd November 2021|
|Closes:||6th December 2021|
Applications are invited for a Temporary 2-year post of a UCD Post-doctoral Research Fellow Level 1, within UCD School of Computer Science
While deep learning has led to huge performance gains in speech recognition and synthesis, only recently more focus is being placed on what deep learning may be able uncover about the patterns which humans use intuitively when interacting via speech and which distinguish native from non-native speakers. Such patterns are typically the focus of speech perception and experimental phonetic studies. This project aims to build on the notion of multi-linear or multi-tiered representations of speech, creating embeddings of multiple (sub-word) levels of representation – phonetic features, phonemes, syllable pieces and syllables – enabling a closer investigation of systematicity and variability of speech patterns. This research will find application in non-native speech recognition, in speech adaptation/accommodation for native and non-native interactions and in pronunciation training scenarios.
ADAPT is the world-leading SFI research centre for AI Driven Digital Content Technology, coordinated by Trinity College Dublin and based within Dublin City University, University College Dublin, Technological University Dublin, Maynooth University, Munster Technological University, Athlone Institute of Technology, and the National University of Ireland Galway. ADAPT's research vision is to pioneer new forms of proactive, scalable, and integrated AI-driven Digital Content Technology that empower individuals and society to engage in digital experiences with control, inclusion, and accountability with the long-term goal of a balanced digital society by 2030. ADAPT is pioneering new Human Centric AI techniques and technologies including personalisation, natural language processing, data analytics, intelligent machine translation human-computer interaction, as well as setting the standards for data governance, privacy and ethics for digital content.
ADAPT Digital Content Transformation Strand
From the algorithmic perspective, new machine learning techniques will both enable more users to engage meaningfully with the increasing volumes of content globally in a more measurably effective manner, while ensuring the widest linguistic and cultural inclusion. It will enhance effective, robust integrated machine learning algorithms needed to provide multimodal content experiences with new levels of accuracy, multilingualism and explainability.
The successful candidate will work under the direction of the Principal Investigator, helping to lead the research, setting a research agenda, engaging with industry projects and mentoring PhD candidates and students.
This is a research focused role, where you will conduct a specified programme of research supported by research training and development under the supervision and direction of a Principal Investigator.
The primary purpose of the role is to further develop your research skills and competences, including the processes of publication in peer-reviewed academic publications, the development of funding proposals, the mentorship of graduate students along with the opportunity to develop your skills in research led teaching.
Salary range: €39,131 - €45,158 per annum
Appointment on the above range will be dependent on qualifications and experience
Closing date: 17:00hrs (local Irish time) on 6th December 2021
Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 17:00hrs (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications.
UCD do not require assistance from Recruitment Agencies. Any CVs submitted by Recruitment Agencies will be returned.
Prior to application, further info should be obtained from the Work at UCD website: www.ucd.ie/workatucd/jobs.
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