Doctoral Training Partnerships(DTP)
NERC Envision 2 - Environmental sciences
Lancaster, Bangor, Nottingham, Centre for Ecology & Hydrology (CEH) , British Geological Survey (BGS), Rothamsted
ESRC Wales DTP in Social Sciences (built on CDT)
|Cardiff, Bangor, Aberystwyth, Cardiff Met, Gloucestershire, Swansea (pathways in Bilingualism, Economics, Management & Business, Psychology, Sport & Exercise Science)|
|3||NERC & BBSRC STARS Soils||Lancaster, Bangor, Nottingham, Cranfield, CEH, James Hutton Inst, Rothamsted, CEH, BGS|
2 new EPSRC CDTs announced Feb 2019
EPSRC CDT in Nuclear Energy Futures
|Imperial College London, Cambridge, Bangor, Bristol and the Open University|
|5||EPSRC CDT in Artificial Intelligence, Machine Learning and Advanced Computing||Swansea, Aberystwyth, Bangor, Cardiff and Bristol||
**(Please see below for available Scholarships)
|6||Marie Skłodowska-Curie Innovative Training Network (MSCA-ITN)||This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 956124||
**(Please see below for available Scholarships)
1. NERC - the Natural Environment Research Council
NERC is the leading funder of independent research, training and innovation in environmental science in the UK. Doctoral training partnerships (DTPs) provide excellent postgraduate research opportunities within the NERC science remit as well as varied professional and technical skills and personal development training.
DTP postgraduate training is delivered in collaboration with partners from a wide range of backgrounds including industry, specialist research organisations, charities, NGOs, government bodies and many more to ensure NERC DTP students are equipped with the skills and experiences to allow them to become world-leaders in their chosen careers.
DTPs are held by higher education institutions either alone or as a consortium with other eligible research organisations and partners. NERC doctoral training partnerships host NERC-funded, and potentially other, PhD students undertaking research in any area of the NERC science remit.
Bangor University is part of a NERC Doctoral Training Partnership with Lancaster and Nottingham Universities. Please visit NERC website here for more information.
Envision brings together a powerful group of UK researchers with 44 industry and NGO partners to provide a new generation of environmental scientists with the skills, knowledge and experience they need to take on the challenges of a changing world.
Funded by the Natural Environment Research Council (NERC), Lancaster University is leading the initiative which brings together the Universities of Nottingham and Bangor, the Centre for Ecology and Hydrology, the British Geological Survey and Rothamsted Research. The initiative also involves large multinationals, a large number of SMEs and international research centres.
Applications for 2021 are now closed.
All applicants should make their application through the Envision website online application.
All available projects are advertised here: http://www.envision-dtp.org/projects/
- Jones, Nia // The story of microplastic
- Sieradzan, Katie // Global oceans: Source or sink?
- Withers, Emma // What’s in the soil?
- Melvin, Zoe // Living with humans: how disturbance affects the Zanzibar red colobus
- Gresham, Amy // Can’t see the deer for the trees? Behavioural ecology of fallow deer in a human-altered landscape
All posters are available here: http://envision.researchposter.co.uk/
2. ESRC Wales DTP
3. NERC & BBSRC STARS Soils
4. EPSRC CDT in Nuclear Energy Futures
5. EPSRC CDT in Artificial Intelligence, Machine Learning and Advanced Computing (CDT-AIMLAC)
Three fully-funded 4-year PhD scholarships are available starting in October 2021 in the area of Artificial Intelligence machine learning and advanced computing. The PhDs are suitable for graduates with an interest in AI algorithms for data analytics, visualisation and image analysis.
The 4-year PhD scholarships, will sit within the UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing (CDT-AIMLAC, http://cdt-aimlac.org/). The students will be based at Bangor University, located within the School of Computer Science and Electronic Engineering. Funding will cover the full cost of UK/EU tuition fees and an annual stipend of £15,285. Additional funding is available for research expenses.
Candidates must identify their preference of at least two projects from the following. Additional information of the projects can be found HERE.
Edge-based object recognition for immersive analytics in Web-based XR. It will investigate distributed neural networks (DNN) as a mechanism for in-situ registration and data processing for mobile, Web-based Immersive Analytics (IA) in Extended Reality (XR). Supervisor: Dr Panagiotis (Panos) Ritsos. Second supervisor: Professor Jonathan C. Roberts.
FLOOD-AI: Using Artificial Intelligence to Investigate the Impact of Land Management Decisions on River Flood Risk. AI techniques that can help improve the ability of hydrological models to predict the impact of land use change on river flood risk. Supervisor: Dr Sopan Patil. Second supervisor: Dr Panagiotis (Panos) Ritsos.
Predicting the “Relative” Coastal Weather and Conditions. This research will investigate how Artificial Intelligence algorithms and ANN (artificial neural networks) can be used to develop a novel Met Ocean prediction tool integrating user confirmatory feedback. Supervisor: Peter Robins. Second supervisor: Matt Lewis.
Ensembles of Deep Neural Networks for Semi-supervised Learning. New ensemble methods will be devised based on robust training and testing protocols. Supervisor: Prof Ludmila Kuncheva. Second supervisor: Dr Franck Vidal.
Bringing big-data to social science. It will use bespoke Natural Language Processing (NLP) to analyse qualitative data from national surveys, using Super Computing Wales. Supervisor: Dr Simon Willcock. Second supervisor team: Dr William Teahan and Prof Jonathan Roberts.
Optimization of co-located offshore wind and wave energy arrays. This project will apply genetic algorithms to determine the optimal device configuration, and run models on Supercomputing Wales. Supervisor: Prof Simon Neill, Dr David Christie.
Artificial Intelligence to engender Fast Visualization Ideation Design. Investigating deep learning, ideation techniques, recommender system techniques for visualisation design. Supervisor Professor Jonathan C. Roberts. Second supervisor Dr Panagiotis (Panos) Ritsos.
You will be required to attend taught components in year 1 (such as foundations of AI, research methods, information visualisation), residential meetings at Aberystwyth, Bristol, Cardiff or Swansea Universities, deliver responsible innovation, and engage with placements with external partners throughout the four-year programme. Placements may be six-month, or shorter three-month or two-week blocks. You will be registered at Bangor University, hosted by the School of Computer Science and Electronic Engineering throughout study, with the delivery of the related training in the PhD programme being shared between the Universities of Aberystwyth, Bangor, Bristol, Cardiff and Swansea.
6. Marie Skłodowska-Curie Innovative Training Network (MSCA-ITN)
Three year PhD position in Spatial Cognition in STEM Learning at the School of Languages, Literatures, Linguistics and Media, Bangor University.
The Department of Linguistics at Bangor University, Wales, UK and the Marie Skłodowska-Curie Innovative Training Network (MSCA-ITN) project SellSTEM offers an Early Stage Researcher (ESR and PhD Student) position within the doctoral program for a PhD in Linguistics at Bangor University.
Spatially Enhanced Learning Linked to Science, Technology, Engineering, and Mathematics (SellSTEM) is an international research and training network funded by MSCA-ITN under H2020. It aims to find new ways to raise the spatial ability levels of boys and especially girls across Europe so they are better prepared for the cognitive demands of STEM education. SellSTEM has 15 ESR positions spread across three work packages. The SellSTEM network consists of 10 universities and 8 non-academic partners in Europe. SellSTEM will implement best practice in doctoral training through a carefully developed and comprehensive training programme and secondment of ESRs to different SellSTEM partners. For more details visit sellstem.eu.
Examining language as a medium of representation in relation to STEM learning tasks and spatial ability
Background and objectives of the thesis project:
Background: The ESR in this project will use Cognitive Discourse Analysis (CODA; Tenbrink, 2020) to study the role of spatial ability in mental representations of STEM tasks. For example, children with low spatial abilities may struggle to understand the concept of ‘volume’. The way they talk about STEM learning tasks involving volume will reflect what exactly these difficulties are and what is being misunderstood. Such insights inform the design of classroom activities to help children overcome these difficulties.
Objectives: Develop a paradigm for using language analysis to investigate how spatial ability affects STEM task success. Describe systematic differences in the nature of spatial‐linguistic representation relative to spatial ability and performance. Contribute to the design of spatial ability tests developed in other projects, wherever language is concerned.
Expected Results: Greater understanding of the nature of linguistic representation in STEM learning and how this is related to spatial ability; a deeper understanding of what spatial ability is, related to the discourse in this domain, so that efforts to both measure and develop it can be more focused in supporting preparation for STEM learning.
- have been ,or are about to be, awarded a Master’s degree in Linguistics or an equivalent qualification, relevant to the scope of this project (e.g., candidates may have acquired relevant knowledge in a different degree programme such as Psychology or Social Sciences),
- have a strong background within the fields of discourse analysis, semantics, and spatial language,
- have experience of principles of research design, linguistic data collection, analysis, and dissemination,
- according to the MSCA mobility rule, have resided in The United Kingdom for less than 12 months in the 3 years immediately before the recruitment date (01 September 2021) and have not carried out their main activity (work, studies, etc.) in The United Kingdom, unless as part of a procedure for obtaining refugee status under the Geneva Convention,
- be in the early stage of their research career, defined as having spent less than 4 years (full time equivalent) in a research position since graduating from a degree required for entry to doctoral education, and have not been awarded a PhD,
- have the ability to work independently and in collaboration with others, as well as reliability and ability to complete projects on time,
- have excellent oral and written communication skills in English,
- be available to start on September 1, 2021, and
- be prepared to spend several months on secondment to Germany.
- A background and interest in psychology is very desirable for this position, especially in areas of cognitive psychology and spatial cognition
- Fluency in Welsh and/or another European language
- A good understanding of childhood development, and education in relation to STEM
The recruitment process will follow the European Charter & Code of Conduct for the Recruitment of Researchers.
How to apply
The online application form and instructions on how to apply are available on sellstem.eu. The deadline for applications is 17:00 CET, Feb 28, 2021. The code for this position is ESR04.
The successful candidate will be recruited by the university on an employment contract for 36 months and enrolled on a doctoral degree programme. The role carries an attractive salary based on the rate defined by MSCA ITN 2018-20 which can be seen at https://tinyurl.com/183hikf4. Note the total amount received is adjusted by a correction coefficient for each country and may vary from employer to employer, even within the same country. Country variations on net salary may arise due to employer as well as employee payroll taxes and social security costs which must be deducted from the gross salary. The exact salary will be confirmed on appointment. Costs associated with research and training are covered under a separate budget allowance.
For further details on this position email Thora Tenbrink