The automated detection of potential bullying, grooming and indoctrination of youngsters in online educational settings
University of South Wales
Project ID: 21083
Annual Stipend: circa £14 k p.a.
Application Deadline: 17 June 2018
|PhD wedi’i gyllido yw hwn, sy’n cynnwys cyflog hael a ffioedd dysgu, gydag amgylchiadau sydd â digon o adnoddau ar gyfer ysgoloriaeth lwyddiannus.||This is a funded PhD, including a generous stipend and tuition fees, with well-resourced circumstances for a successful scholarship.|
Here is an exciting opportunity to study a technology that could significantly enhance the way schools interface with their pupils.
The selected candidate will apply their technical and computational skills to develop an automated triaging system based on the Artificial Intelligence techniques associated with Natural Language Processing. This research opportunity, will allow the student to develop transferable knowledge and skills in this most exciting and active field of computational intelligence.
This Knowledge Economy Skills Scholarship (KESS) project will be held in the Faculty of Computing, Engineering and Science at the University of South Wales. KESS is a programme funded by the European Social Fund (ESF) awarded by the Welsh European Funding Office (WEFO) in the Welsh Government.
The project is backed by InterHigh, a forward looking and technology focused school based in Crickhowell, who are keen to ensure that its pupils get a first-class learning experience.
Programme of research:
Interhigh Education Limited employees hold expertise in three main areas – teaching, administration and business. The company traditionally has been able to source required technology from Edtech vendors. The company has recruited employees able to make use of technology in delivery rather than those skilled in the development of technology. Therefore, the company lacks expertise in computer science and therefore the in-house know how required to develop artificially intelligent tools.
Interhigh has identified that no commercially available technology currently provides the functionality they are looking for. Therefore, they need to lead industry innovation and intend to integrate different software and hardware environments through to a safe learning platform leveraging AI functionality.
The main work of the PhD student will be to develop a flagging system to highlight potential cases of grooming, indoctrination and bullying for further inspection by a human. The work will use Machine Learning techniques and the latest Natural Language Processing technologies to analyse communications and decide whether they are problematic or not. This will involve working with InterHigh’s multiple software vendor’s Rest APIs to retrieve data and aggregate all communications of each student. Moreover, it will require a significant amount of processing of video, audio and text to create the flagging system.
Bydd yr ysgoloriaeth ymchwil yn cynnwys ffioedd ar gyfer rhaglen PhD llawn-amser am flwyddyn ac yn talu cyflog o oddeutu £14k y flwyddyn. Mae hefyd tua £9k o gostau cymorth ar gael i’r prosiect ar gyfer treuliau, teithio, mân offer, hyfforddiant (gan gynnwys Ysgol Raddedig KESS) a mynychu cynadleddau.
Mae’r swydd ar gael o 1 Hydref 2018.
The studentship will cover the fees for a 3-year full-time PhD programme and pay a stipend of circa £14k p.a. There is also around £9k project support costs available for consumables, travel, minor equipment, training (including the KESS Grad School) and conference attendance.
The position is available from 1st October 2018.
I fod yn gymwys i gael ysgoloriaeth ymchwil KESS, mae’n rhaid:
· cael cyfeiriad cartref yn yr ardal Gydgyfeirio (manylion isod)* ar adeg cofrestru.
· bod gennych hawl i ymgymryd â gwaith cyflogedig yn yr ardal Gydgyfeirio* ar ôl cwblhau’r ysgoloriaeth.
· bod y Brifysgol yn eich ystyried yn fyfyriwr ‘cartref’ neu ‘UE’ at ddibenion ffioedd dysgu yn unol â chanllawiau’r Brifysgol.
· eich bod yn bodloni meini prawf mynediad Prifysgol De Cymru: gweler isod, cymwysterau a phrofiad a’r broses ymgeisio
*Mae’r ardal Gydgyfeirio’n cynnwys Gorllewin Cymru a’r Cymoedd, ac yn cynnwys y 15 awdurdod lleol canlynol: Ynys Môn, Gwynedd, Conwy, Sir Ddinbych, Ceredigion, Sir Benfro, Sir Gaerfyrddin, Abertawe, Castell-nedd Port Talbot, Pen-y-bont ar Ogwr, Rhondda Cynon Taf, Merthyr Tudful, Caerffili, Blaenau Gwent a Thorfaen.
Eligibility of Student:
To be eligible to hold a KESS studentship, you must:
· have a home address in the Convergence area (details below)* at the time of registration.
· have the right to take up paid work in the Convergence area* on completion of the scholarship.
· be classified by the University as ‘home’ or ‘EU’ for tuition fees purposes according to the University’s guidelines.
· satisfy University of South Wales’s admissions criteria: see below, qualifications and experience and application process
*The Convergence area covers West Wales and the Valleys, and is made up of the following 15 local authorities: Isle of Anglesey, Gwynedd, Conwy, Denbighshire, Ceredigion, Pembrokeshire, Carmarthenshire, Swansea, Neath Port Talbot, Bridgend, Rhondda Cynon Taf, Merthyr Tydfil, Caerphilly, Blaenau Gwent and Torfaen.
|Cymwysterau a phrofiad:
Bydd gan ymgeiswyr cymwys:
|Qualifications and experience:
Eligible applicants will:
- Have a degree (2i or higher) in an appropriate computing or mathematics based subject
- Possess a reasonable understanding of artificial intelligence techniques
- Be highly self-motivated, with capacity to design and implement new computational algorithms
- Have well-developed and positively collaborative interpersonal skills
- Have an ability to deliver technical reports and communicate findings
|Y Broses Ymgeisio:
I lawrlwytho’r pecyn ymgeisio, ewch i: Pecyn Ymgeisio Cyfranogwr
Am unrhyw ymholiadau ynghylch cymhwysedd, cysylltwch â: Tîm KESS, Gwasanaethau Ymchwil ac Arloesedd, Prifysgol De Cymru: email@example.com Ffôn: 01443 482578
Ar gyfer ymholiadau anffurfiol neu ragor o wybodaeth am y rhaglen, cysylltwch â: Prof. Andrew Ware (firstname.lastname@example.org).
To download an application package, please visit: Participant Application Package
For any queries on eligibility, please contact: KESS Team at Research and Innovation Services, University of South Wales: email@example.com Tel: 01443 482578
For informal enquiries or further programme information, please contact: Prof. Andrew Ware. (firstname.lastname@example.org).
|Dyddiad cau ar gyfer ceisiadau: Hanner nos Dydd Sul 17th Mehefin 2018
cyfweliadau i’w gadarnhau
|Closing date for applications: midnight Sunday 17rd June 2018
Interviews to be confirmed
|Mae Ysgoloriaethau Sgiliau Economi Gwybodaeth (KESS) yn fenter sgiliau lefel uwch ar draws Cymru a arweinir gan Brifysgol Bangor ar ran y sector AU yng Nghymru. Fe’i cyllidir yn rhannol gan raglen gydgyfeirio Cronfa Gymdeithasol Ewropeaidd (ESF) Llywodraeth Cymru ar gyfer Gorllewin Cymru a’r Cymoedd.||Knowledge Economy Skills Scholarships (KESS) is a pan-Wales higher level skills initiative led by Bangor University on behalf of the HE sector in Wales. It is part funded by the Welsh Government’s European Social Fund (ESF) convergence programme for West Wales and the Valleys.
Closing date for applications: midnight Sunday 17th June 2018
Knowledge Economy Skills Scholarships (KESS) is a pan-Wales higher level skills initiative led by Bangor University on behalf of the HE sector in Wales. It is part funded by the Welsh Government’s European Social Fund (ESF) convergence programme for West Wales and the Valleys.