Griffith Remarkable Scholarship
Brief description:
Griffith University is making available the Griffith Remarkable Scholarship for exceptional students applying for undergraduate and postgraduate coursework studies at Griffith University.
Host Institution(s):
Griffith University
Level/Field(s) of study:
Full-time undergraduate or postgraduate coursework programs offered at the University
Number of Scholarships:
Limited
Target group:
Citizens of countries other than Australia or New Zealand.
Scholarship value/inclusions:
The scholarship covers 50% of tuition fees that will be deducted from undergraduate or postgraduate coursework tuition fees for the duration of the program.
Eligibility:
- • Be a citizen of a country other than Australia or New Zealand.
- • Have a minimum GPA in previous studies of 5.5 or above on a 7 point scale or equivalent. Check your suitability in the Minimum GPA criteria (PDF).
- • Have applied to study at Griffith by the scholarship application closing date.
- • Satisfy all academic and English language entry requirements for your chosen undergraduate or postgraduate coursework program.
- • Be a full-time student starting in Trimester 1, 2, or 3 2023.
Location : Australia
Closing Date :15 Apr/4 Aug 2023
HOW TO APPLY FOR THE SCHOLARSHIP
Click Here to Submit your Application on the University Website
Australia Awards Scholarships
Brief description:
Australia Awards Scholarships, formerly known as Australian Development Scholarships (ADS), provide opportunities for people from developing countries, particularly those countries located in the Indo-Pacific region, to undertake full time undergraduate or postgraduate study at participating Australian universities and Technical and Further Education (TAFE) institutions.
Host Institution(s):
Any of the Participating Australian Institutions
Level/Field(s) of study:
Undergraduate or Postgraduate Programmes that are related to your country’s priority areas for development which are listed on the participating country profiles.
Australia Awards are not available for training in areas related to flying aircraft, nuclear technology or military training.
Number of Scholarships:
Not specified.
Target group:
Citizens of one of the participating countries in Asia, Pacific, Africa, and the Middle East. See the complete list of participating countries.
Scholarship value/inclusions/duration:
The scholarship benefits generally include: full tuition fees, return air travel, establishment allowance, contribution to living expenses (CLE), Overseas Student Health Cover (OSHC), Introductory Academic Program (IAP), Pre-course English (PCE) fees, etc. See the complete list of benefits at the official website.
The scholarships are offered for the minimum period necessary for the individual to complete the academic program specified by the Australian higher education institution, including any preparatory training.
Eligibility:
To be eligible to receive a Scholarship, applicants must:
- be a minimum of 18 years of age on 1 February of the year of commencing the scholarship;
- be a citizen of a participating country (as listed on the Australia Awards website) and be residing in and applying for the scholarship from their country of citizenship;
- not be a citizen of Australia, hold permanent residency in Australia or be applying for a visa to live in Australia permanently;
- not be married to, engaged to, or a de facto of a person who holds, or is eligible to hold, Australian or New Zealand citizenship or permanent residency, at any time during the application, selection or mobilisation phases (note: residents of Cook Islands, Niue and Tokelau with New Zealand citizenship are eligible but must apply for a Student visa [subclass 500]);
- not be current serving military personnel;
- not have previously received a long-term Australia Award unless they have resided outside of Australia for twice the length of the total time that they were in Australia (for example, a previous awardee who has been on an Australia Awards Scholarship in Australia for four years will not be eligible to apply for another Australia Awards Scholarship until they have resided outside Australia for eight years);
- not hold convictions of criminal activities (including in their home country) including those relating to Child Protection and PSEAH;
- recipients under the Pacific Secondary School Scholarship Program (PSSSP) who have completed their secondary school education in Australia in the year prior are eligible to apply for a long-term Australia Award;
- have satisfied any specific criteria established by the Program Area or the government of the applicant’s country of citizenship (e.g. having worked a certain number of years in an appropriate
sector); - be able to satisfy the admission requirements of the institution at which the award is to be undertaken (this may mean that Program Areas will need to withdraw an award offer if the recipient cannot satisfy the institution’s admission requirements. This may not be known until Program Areas request a placement at selected institutions);
- be able to satisfy all requirements of the Department of Home Affairs to hold a Student Visa. This may mean that the Program Area will need to withdraw an award offer if the recipient cannot satisfy the visa requirements;
- not be applying for a scholarship for a course of study at an academic level lower than already achieved (e.g. be applying for a Master’s scholarship when they already hold a PhD); and
- applicants must inform the Program Area of any connection or relationship to staff employed at Program Areas (including locally engaged staff at post) or with managing contractors so that the
application may be properly and transparently managed.
Read the complete eligibility criteria in the Australia Awards Policy Handbook (PDF)
Location : Australia
Closing Date :1 May 2023
HOW TO APPLY FOR THE SCHOLARSHIP
Click Here to Submit your Application on the University Website
Commonwealth Distance Learning Scholarships for Developing Commonwealth Countries
Brief description:
Commonwealth Distance Learning Scholarships are for candidates from least developed and lower middle income Commonwealth countries, for part-time Master’s study by distance learning on selected courses offered by UK universities.
Host Institution(s) and Online Courses offered:
See the list of eligible distance learning Master’s courses offered by participating UK institutions for 2023
Number of Scholarships:
Not specified.
Target group:
Nationals of Commonwealth Developing Countries:
Bangladesh, Belize, Cameroon, Eswatini, Ghana, India, Kenya, Kiribati, Lesotho, Malawi, Mozambique, Nigeria, Pakistan, Papua New Guinea, Rwanda, Samoa, Sierra Leone, Solomon Islands, Sri Lanka, Tanzania, The Gambia, Tuvalu, Uganda, Vanuatu, Zambia
Scholarship value/inclusions:
A Commonwealth Distance Learning Scholarship covers tuition fees and study grants where required.
Eligibility:
To apply for the scholarship, you must:
• Be a citizen of or have been granted refugee status by an eligible Commonwealth country, or be a British Protected Person
• Be permanently resident in a developing Commonwealth country
• Hold a first degree of at least upper second class (2:1) standard. A lower qualification and sufficient relevant experience may be considered in certain cases
• Be unable to afford to study the programme without this scholarship
Location :any Country
Closing Date : 28 March 2023
HOW TO APPLY FOR THE SCHOLARSHIP
Click Here to Submit your Application on the University Website
Fully-Funded Rotary Peace Fellowships
Brief description:
Each year, Rotary selects up to 90 peace and development leaders from around the world to receive fully funded academic fellowships to pursue a Professional Development Certificate Program or Masters Degree Program related to peace and conflict resolution and prevention at one of the participating peace centers around the world (USA, Japan, UK, Australia, Sweden, Uganda)
Host Institution(s):
• Duke University and University of North Carolina at Chapel Hill, USA: Master of International Development Policy Program (MIDP) or various degrees offered by the University of North Carolina
• International Christian University, Japan: Master’s Degree in Peace Studies
• University of Bradford, England: Advanced Practice in Peacebuilding and Conflict Resolution MA
• University of Queensland, Australia: Master of Peace and Conflict Studies (MPACS)
• Uppsala University, Sweden: Peace and Conflict Studies (MS.Sc.)
• Makerere University, Uganda (certificate program): Post-Graduate Diploma in Peace and Development Studies
Important Note: Fellowship recipients may not study at a Rotary Peace Center in their home country, with the exception of candidates from Uganda, who may attend the center at Makerere University.
Level/Field of study:
Professional Development Certificate Program or Master’s Degree Program in fields related to peace and conflict resolution and prevention
Target group:
Global peace and development leaders with an undergraduate degree who meet the eligibility criteria.
No. of Scholarships:
Up to 50 fellowships for master’s degree and 40 for certificate studies are awarded each year.
Scholarship value/inclusions:
The fellowships cover tuition and fees, room and board, round-trip transportation, and all internship and field-study expenses.
Eligibility:
The Rotary Peace Fellowship is designed for professionals with work experience in international development or peace and conflict prevention and resolution. Applicants must also meet the following requirements:
• Have three years of related work experience for the master’s program
• Have five years of related work experience for the certificate program and be able to explain how their plan to promote peace aligns with Rotary’s mission (Candidates for Makerere University must either be from Africa, have worked in Africa, or work with African communities or initiatives outside the continent.)
• Be proficient in English (Master’s candidates whose first language is not English must provide English language standardized test scores.)
• Have a bachelor’s degree (Master’s candidates must provide a copy of their transcripts.)
• Demonstrate leadership skills
• Have a strong commitment to cross-cultural understanding and peace worked in Africa, or work with African communities or initiatives outside the continent.
Location :USA, Japan, UK, Australia, Sweden, Uganda
Closing Date :15 May 2023
HOW TO APPLY FOR THE SCHOLARSHIP
Click Here to Submit your Application on the University Website
UCL Global Masters Scholarships for International Students
Brief description:
The UCL Global Masters Scholarship aims to enable and encourage international students from lower income backgrounds to pursue full-time Master’s degree studies at UCL.
Host Institution(s):
University College London, UK
Level/Field of study:
Postgraduate Taught Masters Degree Programme in any subject offered at the University. Distance-learning programmes are not eligible for this scholarship.
Number of Awards:
Up to 75 scholarships are available in 2023/24.
Target group:
International students from low income background
Scholarship value/duration:
The scholarship is worth £15,000 and is tenable for one year only unless the full-time programme is 2yrs in length. In that case the scholarship will be paid 50% in each year.
Eligibility:
Candidates can be from any country outside the UK but must fulfill all of the following criteria:
- • be eligible to pay the Overseas fee rate;
- • come from a lower income background*;
- • AND have submitted an admission application for a full-time Master’s degree at UCL in 2023/24.
*Guidance on how UCL defines household income can be found on the University’s essential information page.
Location :UK
Closing Date :27 Apr 2023
HOW TO APPLY FOR THE SCHOLARSHIP
Click Here to Submit your Application on the University Website
PhD Student in Neuroscience (Ala-Laurila Lab, Finland) at Aalto University
We are looking for an excellent PhD Candidate to work in characterization of healthy and diseased mouse models from retinal circuits to visually guided behaviour
Timeline of the call:
The position will be filled as soon as a suitable candidate is found. Thus, submit your application as soon as possible. In any case we will fill the position by the spring of the year 2023.
Objectives:
- Characterize the retinal output of different mouse models of retinal diseases
- Correlate the retinal output to the animal behavior in the water maze
Host institution: Aalto University (Aalto, Finland) – Supervisor: Petri Ala-Laurila
Dr Ala-Laurila has two laboratories (http://ala-laurila.biosci.helsinki.fi/): one at Aalto University and one at University of Helsinki. Both labs work in integrated collaboration and have state-of-the art approaches to study retinal circuits and visually-guided behavior. They combine cutting-edge electrophysiological recording techniques with precise manipulations of retinal circuit function, mathematical modelling and quantitative behavioral measurements: https://www.youtube.com/watch?v=ZniIYFSIcT8
Aalto University (Aalto) is the largest technology-oriented university in Finland. The Department of Neuroscience and Biomedical Engineering is located in the Otaniemi campus – one of the most important north-european technology hubs, with a high concentration of companies, and research institutes from the high-technology sector, and with a thriving culture of entrepreneurship.
The University of Helsinki is Finland’s largest and oldest academic institution and an innovative centre of science and thinking. University of Helsinki has contributed since 1640 to the establishment of a fair and equal society that is considered one of the best in the world. The multidisciplinary academic community solves problems that affect us all – with the power of knowledge, for the world.
Requirements from the applicant:
- Highly motivated, previous experience on behavioral experiments and/or electrophysiology is a plus
- Formal requirements for eligibility: at the time of appointment, applicant must not have resided or carried out their main activity (work, studies, etc.) in Finland for more than 12 months in the 3 years immediately prior to their recruitment. Short stays, such as holidays, are not taken into account.
Application documents:
- Motivation letter
- CV
- Recommendation letters (max. 3)
- Scanned copy of the degree which would formally entitle the candidate to embark on doctorate.
- Transcript of records for both Bachelor´s degree and Master´s degree (or equivalents).
Applications will be reviewed as soon as they arrive so please submit your application as soon as you can.
For additional information, please contact Krishna Dovzhik (Ala-Laurila lab), [email protected]
Location : Lämpömiehenkuja 2 Helsinki, Finland
Closing Date : 2023-05-31
HOW TO APPLY
Click Here to Submit your Application on the University Website
PhD in Machine Learning: Theoretically motivated deep learning at KTH Royal Institute of Technology Sweden
School of Electrical Engineering and Computer Science at KTH
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
Project description
At the Division of Computational Science and Technology at KTH we are seeking a new PhD student in Machine Learning / Computer Vision to handle scale-dependent information in image data.
In our research, we develop deep networks for processing image data that handle scaling transformations and other image transformations in a theoretically well-founded manner. Our research in this area comprises both theoretical modelling of the influence of image transformations on different architectures for deep networks as well as experimental evaluations of such networks on benchmark datasets to explore their properties. The work also comprises the creation of new benchmark datasets, to enable characterization of properties of deep networks that are not covered by existing datasets.
For examples of our previous work in this area, see
https://www.kth.se/profile/tony/page/deep-networks
Within the scope of this PhD student position, you will work on and contribute to the research frontier regarding scale-covariant or scale-equivariant deep networks and/or deep networks parameterised in terms of Gaussian derivatives, on specific research topics that we choose together within the scope of the research project ”Covariant and invariant deep networks” that finances this position. The overall goal is to develop new architectures for deep networks that can generalise to scaling variations that are not spanned by the training data, and which can achieve higher robustness to variabilities in test data, as well as enable more efficient training with lower requirements concerning the amount of training data.
Third-cycle subject: Computer Science
Supervision: Prof. Tony Lindeberg
What we offer
- The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world.Read more
- A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
- A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
- Work and study in Stockholm, close to nature and the water.
- Help to relocate and be settled in Sweden and at KTH.
Admission requirements
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
- passed a second cycle degree (for example a master’s degree), or
- completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
- acquired, in some other way within or outside the country, substantially equivalent knowledge
- to be admitted to the third-cycle education in Computer Science, the applicant must have passed courses resulting in at least 60 credits at minimum second-cycle level in Computer Science or other subjects deemed directly relevant to the chosen specialization.
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here
Selection
In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. Candidates will be assessed upon their ability to:
- independently pursue his or her work
- collaborate with others,
- have a professional approach and
- analyse and work with complex issues and
The candidate should have very good knowledge in mathematics (analysis and linear systems, which we use for modelling convolution transformations and geometric image transformations) as well as in structured programming to write code that is easy to use for making experiments with, maintain and develop and share with colleagues. You must have very good knowledge about programming deep networks in Python, PyTorch is meritorious.
Knowledge in computer vision and image analysis is strongly meritorious.
After the qualification requirements, great emphasis will be placed on personal competency.
Target degree: Doctoral degree
Information regarding admission and employment
Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ‘ time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.
Union representatives
Contact information KTH’s website.
Doctoral section (Students’ union on KTH Royal Institute of Technology)
Contact information section’s website.
Application
Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).
Applications must include:
- CV including your relevant professional experience and knowledge.
- Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
- Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages. Copies of originals must be certified.
- Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
Other information
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.
For information about processing of personal data in the recruitment process please read here.
We firmly decline all contact with staffing, recruitment agencies and job ad salespersons.
Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Location : Sweden
Closing Date : 31st January 2023
HOW TO APPLY FOR THE SCHOLARSHIP
Click Here to Submit your Application on the University Website
PhD in Spatio-temporal models for large citizen science data sets at University of Kent
PROJECT TITLE:
Spatio-temporal models for large citizen science data sets
Supervisors: This is a joint project between the University of Kent and Butterfly Conservation and the PhD student will be supervised by a team with expertise in Statistics, Statistical Ecology, Citizen Science, and Butterfly Monitoring
University of Kent: Dr Eleni Matechou, Dr Diana Cole, Prof Byron Morgan
Butterfly Conservation: Dr Emily Dennis, Dr Richard Fox
Scientific background
At a time of biodiversity loss, including widely reported insect declines, citizen science data play a vital role in measuring changes in species’ populations and distributions and in seeking to understand the pressures influencing such changes.
Butterflies and moths (Lepidoptera) respond quickly to habitat and climatic change, and hence are valuable biodiversity indicators. In the UK, millions of species occurrence records for Lepidoptera have been gathered by two large citizen science recording schemes, of which the full potential has not been fully realized.
Analysing recording data of this nature presents unique challenges relating to their vast quantity but also associated sampling biases. Using cutting edge modelling, this project will maximise these valuable datasets to enhance our understanding of species’ phenology (flight periods), distribution and range dynamics to help inform future conservation delivery and policy for UK butterflies and moths.
Research methodology
The student will undertake new statistical model developments applied to citizen science data. The research will involve:
- Critically assessing sampling design to determine how much data are needed to reliably estimate species’ occurrence trends – can occupancy models be used for rare species with small ranges?
- Modelling species’ phenology from citizen science data to provide new insights on variation over space and time.
- Applying state-of-the-art variable selection techniques to better describe drivers of species’ range and distribution change through suitable spatial and environmental covariates.
Training
The student will develop a strong, highly transferable skillset in statistical modelling and analysis using modern statistical and computational techniques applied to large, unstructured data sets spanning multiple species, locations and years. The student will benefit from interactions with conservation professionals at Butterfly Conservation, including opportunities to undertake fieldwork, to better understand the data collection processes and focal taxa of the project, as well as data use for conservation delivery and policy.
Research excellence
The student will join the thriving Statistical Ecology @ Kent research group, being supervised by leading researchers in statistics and statistical ecology. They will also be members of the UK-wide National Centre for Statistical Ecology. They will attend London Taught Course Centre training, NCSE seminars, and SE@K specialist training and they will present research results at a range of appropriate national and international conferences. There will be ample opportunity for independent development, with the student gaining transferable knowledge of modern data science and statistics.
Please email Dr Eleni Matechou ([email protected]) if you are interested in applying for the project or have any questions about the project or the application process.
Application Process
Deadline for applications: midnight 20th of February 2023
Applicants should follow the University of Kent’s online application process.
Please create an account and add your personal details as requested. Subsequently, you need to select your starting date (September 2023) and write your personal statement (see below). Choose “Other” for source of funding and “Definite” for funding. Add details of your qualifications, and then in the Research Information Tab, write “Dr Eleni Matechou” under supervisor and the title of the project (“Spatio-temporal models for large citizen science data sets“) as the research topic. You do not need to add a research proposal.
As part of the process, you need to provide the following:
o details of your qualifications;
o two academic references;
o a personal statement
The statement must be maximum 500 words detailing (1) your reason for applying for a doctoral studentship (i.e, why do you want to pursue doctoral studies) and (2) your fit with the proposed project (how your educational/professional/personal background has prepared you well to undertake research in this topic).
Person specification
We seek a candidate with a strong quantitative background, for example an MSc in Statistics or an MSc with high statistics content, or a background in ecological modelling. Experience coding in R, or similar, is essential. An interest in conservation and ecology is advantageous. Quantitative ecologists are encouraged to apply.
The University of Kent requires all non-native speakers of English to reach a minimum standard of proficiency in written and spoken English before beginning a postgraduate degree. For more information on English language requirements, please visit this page.
Scholarship Information
VC scholars will receive the following:
- Annual stipend at UKRI rates (£17,668 in 2022/23);
- Annual tuition fees at Home rates (£4,596 in 2022/23)
o 2023/24 rates to be announced.
Selection Process
Supervisors will carry out the initial eligibility checks and shortlisting. Shortlisted candidates will be notified by the 27 of February and will be invited for an interview taking place the on the 7th of March.
Deadline
The deadline for applications is midnight on 20th of February.
Relevant literature
Diana, A., Dennis, E. B., Matechou, E., Morgan, B. J. T. (2022) Fast Bayesian inference for large occupancy datasets. Biometrics, . ISSN 0006-341X. (In press) (KAR id:98286)
Dennis, E.B., Morgan, B.J.T., Freeman, S.N., Ridout, M.S., Brereton, T.M., Fox, R., Powney, G.D., Roy, D.B. (2017) Efficient occupancy model-fitting for extensive citizen-science data. PLoS ONE 12(3): e0174433. https://doi.org/10.1371/journal.pone.0174433
, , , , & (2022) A general modeling framework for open wildlife populations based on the Polya tree prior. Biometrics, 00, 1– 13. https://doi.org/10.1111/biom.13756
Griffin, J. E., Matechou, E., Buxton, A. S., Bormpoudakis, D., & Griffiths, R. A. (2020). Modelling environmental DNA data; Bayesian variable selection accounting for false positive and false negative errors. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69(2), 377-392.
Dennis, E.B., Morgan, B,J.T, Freeman, S.N., Brereton, T.M. & Roy, D.B. (2016). A generalized abundance index for seasonal invertebrates. Biometrics, 71, 1305-1314.
Dennis, E.B., Brereton, T.M., Morgan, B.J.T., Fox, R., Shortall, C.R., Prescott, T. & Foster, S. (2019). Trends and indicators for quantifying moth abundance and occupancy in Scotland. Journal of Insect Conservation, 23, 369-380.
Location : Kent
Closing Date : 20th of February 2023
HOW TO APPLY FOR THE SCHOLARSHIP
Click Here to Submit your Application on the University Website
PhD in Natural Language Processing at Queen Mary University London
Level: PhD
Country: Please see eligibility criteria below
Value: Tuition fees and a London stipend of £19,668 per year
No. of awards: 9
Deadline: January 31st 2023
About the Studentships
The school of Electronic Engineering and Computer Science of the Queen Mary University of London is inviting applications for up to 9 PhD Studentships in specific areas in Electronic Engineering and Computer Science (please see the list of projects at the end of this page). The PhD studentships will cover tuition fees and offer a London stipend of £19,668 per year. The scholarships are open to both home and international candidates (please see below the eligibility criteria and the details on the tuition fees depending on the applicant status).
About the School of Electronic Engineering and Computer Science at Queen Mary
The PhD Studentship will be based in the School of Electronic Engineering and Computer Science (EECS) at Queen Mary University of London. As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are 8th in the UK for computer science research (REF 2021) and 7th in the UK for engineering research (REF 2021). The School is a dynamic community of approximately 350 PhD students and 80 research assistants working on research centred around a number of research groups in several areas, including Antennas and Electromagnetics, Computing and Data Science, Communication Systems, Computer Vision, Cognitive Science, Digital Music, Games and AI, Multimedia and Vision, Networks, Risk and Information Management, Robotics and Theory
For further information about research in the school of Electronic Engineering and Computer Science, please visit: http://eecs.qmul.ac.uk/research/.
Who can apply
Queen Mary is on the lookout for the best and brightest students. A typical successful candidate:
- Should hold, or is expected to obtain an MSc in the Electronic Engineering, Computer Science, or a closely related discipline
- Having obtained distinction or first class level degree is highly desirable
Eligibility criteria and details of the different schemes
EPSRC-DTP:
- 3.5 years stipend and fees
- Details: Open to home and international students. Please note that the number of students with International fee status which can be recruited is capped according to the EPSRC terms and conditions so competition for International places is particularly strong.
- Expected start date: September 2023
Principal Scholarships:
- 3 years stipend and fees
- Details: Open to home students. Please note that the scheme covers stipend and home tuition fees – for candidates with international fee status the difference needs to be covered from other sources.
- Expected start date: September 2023
How to apply
Queen Mary is interested in developing the next generation of outstanding researchers and decided to invest in specific research areas. For further information about potential PhD projects and supervisors please see the list of the projects at the end of this page.
Applicants should work with their prospective supervisor and submit their application following the instructions at: http://eecs.qmul.ac.uk/phd/how-to-apply/
The application should include the following:
- CV (max 2 pages)
- Cover letter (max 4,500 characters) stating clearly in the first page whether you are eligible for a scholarship as a UK resident (see the link below)
- Research proposal (max 500 words)
- 2 References
- Certificate of English Language (for students whose first language is not English)
- Other Certificates
Please note that in order to qualify as a home student for the purpose of the scholarships, a student must have no restrictions on how long they can stay in the UK and have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship. For more information please see: https://www.ukri.org/what-we-offer/developing-people-and-skills/esrc/funding-for-postgraduate-training-and-development/eligibility-for-studentship-funding/
Application Deadline
The deadline for applications is the 31st of January 2023.
For general enquiries contact Mrs. Melissa Yeo [email protected] (administrative enquiries) or Professor Ioannis Patras [email protected] (academic enquiries) with the subject “EECS 2023 PhD scholarships enquiry”.
Location : London
Closing Date : 31st of January 2023
HOW TO APPLY FOR THE SCHOLARSHIP
Click Here to Submit your Application on the University Website
PhD in Improving project cost estimates using Artificial Intelligence and Machine Learning
Introduction
An exciting opportunity to apply for eight fully funded PhD positions in the College of Arts, Technology and Environment, UWE Bristol.
Ref: 2223-APR-CATE15
The expected start date of these studentships is 1 April 2023.
The closing date for applications is 8 January 2023.
Please note: out of the eight projects being advertised for the CATE Studentships 2022. The projects for funding will be selected based on the merit of applicants following the process outlined below.
Studentship details
Construction projects notoriously suffer from poor cost prediction and cost-overrun. Poor cost performance remains a challenge for the construction industry worldwide. Despite recent methodological and technological advances in the field, project-cost overrun remains a significant challenge for the industry. Government has emphasised the need for the industry to transform, from a management-focused change agenda to one that is more technocentric that views digital technologies and other Industry 4.0-enabling technologies as initiatives to enhance the industry.
This doctoral study will propose practical digital solutions that can overcome the challenges and promote the opportunities to improve cost performance of construction projects using Artificial Intelligence (AI) and Machine Learning (ML). Use of AI has helped to achieve significant enhancement of service processes and industry productivity in recent years, alongside enhance automation, and provides competitive advantage as compared to conventional approaches. This research aims to develop a novel approach which will adopt AI in the interpretation and analysis of cost data that would generate more accurate and reliable order of cost estimates (OCE) and related cost risk assessment for construction projects. It will use AI and Machine Learning techniques to mine historic data of disparate quality and formats to enable its analysis and, to extend the techniques to produce more accurate cost predictions. This approach also has the potential to deliver improved cost management by shining light on the drivers of high costs and providing the evidence needed for improved cost prediction, analysis and reduction.
This project will lie at the interface between built environment and data science/AI, and motivated applicants from disciplines related to either field are welcomed but must be able to work well as a part of a multi-disciplinary team. The scope of the project can be tailored as required and the successful applicant will be supported by a multi-disciplinary team of supervisors.
The successful candidate will be a member of the Centre for Architecture and Built Environment Research Centre for Architecture and Built Environment Research (CABER). CABER seeks to develop innovative approaches, procedures, technologies and techniques that support the design, management, reconfiguration, maintenance and operation of buildings, their fabric and the environments they create. In the recent Research Assessment Exercise 88% of research in ABE was judged to be Internationally Excellent or World Leading.
For an informal discussion about the studentship, please email Dr Ndibarafinia Young Tobin at [email protected].
You can also contact Professor Jessica Lamond at [email protected] or Dr Stephen Hall at [email protected] about the studentship programme.
Funding
The studentship is available from 01 April 2023 for a period of three and half years, subject to satisfactory progress and includes a tax exempt stipend, which is currently £17,668 per annum.
In addition, full-time tuition fees will be covered for up to three years.
Eligibility
Applicants must have a Bachelor’s degree in quantity surveying/ construction project management/ construction management/ or related construction degree.
Ideally the candidate will have some of the following:
- a Master’s degree or equivalent research experience
- experience in /familiarity with the UK’s construction industry
- a background in workplace design/management
- knowledge of qualitative research methods, research integrity and ethics
- Ability to learn new fields of application of data science.
Relevant experience:
- AI/Machine Learning tools and techniques
- Experience in AI and cost estimating.
A recognised English language qualification is required.
How to apply
Please submit your application online. When prompted use the reference number 2223-APR-CATE15.
Supporting documentation: You will need to upload your research proposal, all your degree certificates and transcripts and your proof of English language proficiency as attachments to your application, so please have these available when you complete the application form.
References: You will need to provide details of two referees as part of your application. At least one referee must be an academic referee from the institution that conferred your highest degree. Your referee will be asked for a reference at the time you submit your application, so please ensure that your nominated referees are willing and able to provide references within 14 days of your application being submitted.
Location : Bristol
Closing Date : 08 January 2023.
Click Here to Submit your Application on the University Website
Further Information
It is expected that interviews will take place on weeks commencing 20 February 2023. If you have not heard from us by February, we thank you for your application but on this occasion you have not been successful