Posts Tagged “Scholarships for International Students”

Comments Off on PhD in Computer vision and artificial intelligence at Edge Hill University

PhD in Computer vision and artificial intelligence at Edge Hill University

Posted by | December 27, 2022 | PhD, Scholarships

Graduate School

Salary: Each GTA studentship includes a ‘package’ with a total value just under £26,000 per annum for UK based applicants and over £34,000 for international applicants per annum. Commencing Saturday 30 September 2023.

Post Type: Full Time

Reference: GTA18-1122

A fantastic opportunity to study for a 3-year funded doctorate whilst gaining valuable teaching experience.

About the Research Project

All advertised projects for this research area can be found here.

Please direct any questions about the project to Professor Ardhendu Behera ([email protected]) in advance of submitting your application.

To apply for this research area, please scroll to the bottom of the page and click the ‘apply’ button. Contact [email protected] if you have difficulty accessing the form. 

About You

You will have a 2.1 or above undergraduate degree in a relevant subject, whilst a Masters degree would also be an advantage. You should have a passion for pursuing original research in your subject area along with the desire to develop your teaching ability by supporting an experienced and dynamic undergraduate programme team.

Highly motivated, resilient and with the determination to succeed, you will be committed to undertaking a PhD and will possess strong written and oral communication skills along with excellent organisational skills.

Please note:

  • If you already have a PhD in the research area you are applying for, your application will not normally be considered unless submitted for a suitably different research area.
  • Applicants who have applied more than two times previously should not normally apply again with the same research project.

About the Graduate Teaching Assistant Role

Graduate Teaching Assistants hold a unique position in the University, being both registered postgraduate researchers (PGRs) and carrying out teaching/teaching support duties.

PGRs will be expected to:

  • Complete a programme of researcher development sessions.
  • Undertake tailored continuing researcher development.
  • Complete a programme of training in teaching in Higher Education.
  • Complete a PhD programme of research under the guidance of an appointed supervisory team.
  • Undertake up to six hours teaching a week as directed by the Head of Department.
  • Undertake up to nine hours per week of marking and preparation.
  • Enhance the research culture of the department in which they are located, and of the University as a whole, by participating in development activities including publication and presenting at conferences.

Rewards & Benefits

We want you to feel happy when you come to work and proud when you go home. From the moment you join us you have the opportunity to enhance your skills. In addition to having the opportunity to enrol on our Postgraduate Certificate in Teaching in Higher Education (PGCTHE) to support your professional development, we offer a range of specialist development sessions and courses. In addition to the wide range of development opportunities available, the University has a strong focus on the wellbeing of its staff. You will have access to an award-winning staff health & wellbeing programme, benefit from discounted membership to our state-of-the-art sport and leisure facilities and so much more. This is just a taste of what we can offer you at Edge Hill University.

Each GTA studentship includes a ‘package’ with a total value just under £26,000 per annum for UK based applicants and over £34,000 for international applicants per annum. This includes:

  • Overall payment of £17,668 per annum which is aligned with the UKRI rate. This is split into a salary of £12,168 per annum and £5,500 per annum tax free to contribute to the cost of accommodation
  • Full waiver of research degree tuition fees worth approximately £4,700 per annum for UK PGRs and £14,000 per annum for international PGRs
  • Full waiver of the Postgraduate Certificate in Teaching in Higher Education tuition fee (worth approximately £1740)
  • Entitlement to sick pay, maternity, paternity, and shared parental leave, in accordance with University policies and procedures.

Applicant Guidance

  • Applicant guidance: Applicant guidance can be found herePlease read this before applying.
  • Project contact: Staff contacts for each research area can be found on the webpage lined under ‘about the research project’ above. You are strongly encouraged to speak with them about the area you are interested in, in order to identify a prospective supervisor in advance of applying.
  • Job description and person specification: You should read the job description and person specification carefully.

How to Apply

At Edge Hill University we value the benefits a rich and diverse workforce brings to our community and therefore welcome applications from all sections of society.

Applicants must complete the online application form via www.edgehill.ac.uk/jobs and attach 5 separate documents in the following order:

  1. A ‘Research Proposal’ which should not exceed 2,000 words
  2. A full academic curriculum vitae
  3. Qualification certificates – please ensure these are translated into English
  4. Scanned copy of your passport
  5. IELTs, or equivalent, paperwork – click here for detailed guidance (international and EU applications only).
    • It is very important you review the guidance and seek clarification regarding this paperwork before applying if you have any questions.
    • Letters of recommendation, or requests to waive the language entry requirements, will not be accepted. 

Applications without the above paperwork will not be considered for shortlisting. 

To apply for this research area, please scroll to the bottom of the page and click the ‘apply’ button. Contact [email protected] if you have difficulty accessing the form. 

Interview Arrangements

Interviews are expected to be held in March 2023. The exact date will be confirmed in due course. Panel availability is limited. Shortlisted candidates will be offered one interview slot only.

Project Information is available alongside the job description above.

Key Contacts

Please think about the support you need and contact one of the areas directly. 

  • Research project and supervision questions: see the details under ‘about the research project’ to speak with the research degree contact responsible for your area of interest
  • Application form and employment questions: please contact [email protected]
  • PhD registration and qualification questions: please contact [email protected]

Staff availability

Please note that the university is closed from the evening of the 22nd December 2022 until 3rd  January 2023. Staff will respond to you upon their return. It is highly advised that you speak with staff at the earliest opportunity to avoid encountering any delays due to the scheduled break.

Location : England

Closing Date : 09 January 2023

Click Here to Submit your Application on the University Website

 

Comments Off on PhD in AI-based Crop Disease Monitoring and Detection at Ulster University

PhD in AI-based Crop Disease Monitoring and Detection at Ulster University

Posted by | December 27, 2022 | PhD, Scholarships

Summary

Plant diseases may affect the root, steam and leaves of plants resulting in a sizable drop of revenue for farmers as crop’s quality is affected and may lead to food shortage and food chain disruption [1]. Traditionally, a crop disease can be detected by visual inspection which can be a tedious enterprise which is time and effort consuming, and errors prone. Farming has developed extensively in the last few decades taking advantages from developments in chemistry, physics, sensing technology, data processing and analytics, artificial intelligence and IoT [1,3-4]. The demand for mobile portable applications in agriculture has increased as portable technology ubiquitousness allows for a wider deployment and a better cost-effectiveness. With the technology, farmers can identify and detect early infections and diseases and hence mitigate their impact, improve treatments outcome and can prevent further infections from re-occurring. Portable spectroscopy can be used to detect the presence of diseases on leaves and categorise healthy plants from unhealthy ones. Such a technology has found use in many agro-food applications as it offers short processing times, cost-effectiveness, portability and ease-of-deployment [2,5].

Spectroscopy is the analysis of matter and its interaction with electromagnetic radiations; and a spectral signature is the variation of reflectance or emittance of a material with respect to wavelengths. It is a non-destructive way to find the fingerprints of components; and hence is a suitable method to inspect plants’ samples.

Reflectance is a measure of electromagnetic energy that bounces back from the surface of a material; and the leaf reflectance in the visible and near-infrared ranges are influenced by a variety of interactions (including leaf surface and water content) which can lead to a suitable use in classification and detection. Further, green vegetation spectral signatures can show pigmentation in plant tissues as Chlorophyll growth is affected. Hence it can be used for anomaly detection in remote sensing applications. Counting the number of insects of various species is important for planning pest control, and for guiding agricultural policy. Computer vision algorithms can be trained with the captured footage to detect the soil conditions, analyse the aerial view of the overall agricultural land, and assess crop health information. Computer vision-enabled machines can be used in sorting and grading the harvest; while automating such tasks can offer efficiency [2,3].

Hyperspectral imaging in agriculture can significantly extend the range of farming issues that can be addressed using remote sensing. Almost every farming issue (weeds, diseases, etc.) changes the physiology of plants, and therefore affects its reflective properties. Healthy and unhealthy crops reflect the sun light differently which renders it possible to detect such changes in the physiology of the plants and correlate them with spectra of reflected light.

Hence the objectives of this research proposal are:

To address the complexity of crop disease monitoring and detection in the context of smart farming taking account of different data types.

To develop a solution that integrates both computer vision and spectroscopy related information.

To design an AI based system for classification of diseases and anomaly detections.

Essential criteria

Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.

We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction.

In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • First Class Honours (1st) Degree
  • Masters at 70%
  • Experience using research methods or other approaches relevant to the subject domain
  • Work experience relevant to the proposed project
  • Publications – peer-reviewed

Funding and eligibility

The University offers the following levels of support:

Vice Chancellors Research Studentship (VCRS)

Full award (full-time PhD fees + DfE level of maintenance grant + RTSG for 3 years).

This scholarship will cover full-time PhD tuition fees and provide the recipient with £18,000 (tbc) maintenance grant per annum for three years (subject to satisfactory academic performance).

This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Vice-Chancellor’s Research Bursary (VCRB)

Part award (full-time PhD fees + 50% DfE level of maintenance grant + RTSG for 3 years).

This scholarship will cover full-time PhD tuition fees and provide the recipient with £8,000 maintenance grant per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Vice-Chancellor’s Research Fees Bursary (VCRFB)

Fees only award (PhD fees + RTSG for 3 years).

This scholarship will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Department for the Economy (DFE)

The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £18,000 (tbc) per annum for three years (subject to satisfactory academic performance).

This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

  • Candidates with pre-settled or settled status under the EU Settlement Scheme, who also satisfy a three year residency requirement in the UK prior to the start of the course for which a Studentship is held MAY receive a Studentship covering fees and maintenance.
  • Republic of Ireland (ROI) nationals who satisfy three years’ residency in the UK prior to the start of the course MAY receive a Studentship covering fees and maintenance (ROI nationals don’t need to have pre-settled or settled status under the EU Settlement Scheme to qualify).
  • Other non-ROI EU applicants are ‘International’ are not eligible for this source of funding.
  • Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Due consideration should be given to financing your studies. Further information on cost of living

Recommended reading

N.N. Che’Ya,, N.A. Mohidem, ; Roslin, N.A.; Saberioon, M.; Tarmidi, M.Z.; Arif Shah, J.; Fazlil Ilahi, W.F.; Man, N. Mobile Computing for Pest and Disease Management Using Spectral Signature Analysis: A Review. Agronomy 2022, 12, 967.

F. Asharindavida, O. Nibouche, J. Uhomoibhi, H. Wang, and J. Vincent, “Evaluation of olive oil quality using a miniature spectrometer: A machine learning approach,” in Proc. SPIE, vol. 11754, pp. 17–28, Apr. 2021.

P. A. Dias, A. Tabb, and H. Medeiros, “Multispecies Fruit Flower Detection Using a Refined Semantic Segmentation Network,” IEEE Robot. Autom. Lett., vol. 3, no. 4, pp. 3003–3010, 2018.

Daniel Caballero, Rosalba Calvini, José Manuel Amigo,Hyperspectral imaging in crop fields: precision agriculture, Data Handling in Science and Technology, Elsevier, vol.32,2019, pp.453-473.

M. Ahmad, Muhammad, Asad Khan, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, Ahmed Sohaib, and O. Nibouche. 2019. “Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images” Remote Sensing 11, no. 9: 1136

Location : Northern Ireland

Closing Date : 27 FEBRUARY 2023

HOW TO APPLY FOR THE SCHOLARSHIP

Click Here to Submit your Application on the University Website