Project(s)

Leading with, and for, Inter and Multi professional Collaboration and Innovation.

Working together collaboratively in interprofessional and multi professional teams is a cornerstone of future healthcare practice. Each member of these teams can make a unique contribution to achieving a common goal and ultimately enhancing patient care and wellbeing. 

As the Enhanced Community Care programme advances across the Midwest the need to integrate community services among the different service areas becomes more evident. Community Healthcare Networks (CHNs) working in conjunction with the discipline managers will be the foundation for all community services required by anyone residing within that network.

Collaboration is the essence of both the Enhanced Community Care programme and the operation of the Community Healthcare Networks (CHNs) to ensure decisions are made closer to the point of care and are specific to population needs. CHN’s aim to improve integration with health and community support services, delivering on the Sláintecare vision to provide the right care, in the right place, at the right time.

Research focus

The overall aim of the study is to undertake a review of the concepts, advantages, enablers, barriers, and opportunities for CHNs adopting a multi- stakeholder perspective.  It will identify a framework of factors that contribute to good practices in interprofessional and multi professional collaboration and from an individual, team, and network perspective. Underpinning theories for the research include: - institutional and network theory, theories of transformation and change and shared and distributed leadership theories. The research will be carried out using action-based research methodologies.

Faculty
Kemmy Business School
Entry Requirements

Applications are invited for a full-time 3-year PhD scholarship to work as part of this study commencing April 2023 as to be supervised by Dr. Nuala Ryan and Dr. Briga Hynes. Applications are invited from candidates with Degrees/Master’s degrees that have a knowledge base in leadership, organisational science and management, innovation & change management, team development, public healthcare.

Funding/Stipend
The studentship is for 3 year and will cover EU level fees and a stipend of €25,000 per annum.
Contact & How to Apply

Application Procedure:

Applicants should ideally hold a minimum 2.1 first degree and preferably a Master’s qualification in a relevant discipline area and have a strong interest in the areas of organisational science and leadership. Shortlisted candidates may be invited to interview.

Based on the details given above, applicants should submit the following outlining how they would approach the study using academic evidence to support :-

  • A completed application form (downloaded here)
  • A covering letter which includes a personal statement
  • A 3000 word research proposal following the KBS structure and sequence guidelines, fully addressing each of the headings (available here)
  • A full CV, including the names and addresses of two referees.
  • Application documents should be sent by email to: Rebecca Gachet, Kemmy Business School, rebecca.gachet@ul.ie

Closing date:
Closing date for receipt of applications is 5pm on Friday, 10th of March, 2023.

Inquiries:
Informal inquires may be made to Dr Nuala Ryan (Nuala.ryan@ul.ie)

Additional Information

Applications

Applications are invited for a full-time 3-year PhD scholarship to work as part of this study commencing April 2023 as to be supervised by Dr Nuala Ryan and Dr Briga Hynes. Applications are invited from candidates with Degrees/Master’s degrees that have a knowledge base in leadership, organisational science and management, innovation & change management, team development, public healthcare.

Funding information:

The studentship is for 3 year and will cover EU level fees and a stipend of €25,000 per annum. Scholarship holders are expected to undertake a limited amount of formative academic duties in addition to pursuing their doctoral studies. Please note: The duration of the doctoral process can be between 3-4 years, if the PhD studies go into a 4th year the student will have to self-fund their fees or look for alternative funding for that remaining year.

Project(s)

The Data-driven Intelligent Computational Engineering (D2ICE) Group at the UL Dept of Electronic and Computer Engineering, in collaboration with Provizio and Lero, the SFI Research Centre for Software, are seeking a PhD candidate to work on an exciting project in the application of machine learning in radar and visual sensing for the prevention of road accidents. Given the wealth of information that is potentially available in radar-fusion sensing, there is a strong potential for machine learning algorithms to provide recognition, tracking, and prediction tasks for driver assistance and automated driving systems. For example, the position and trajectory of a pedestrian, vehicle or cyclist can be tracked and predicted, enabling a safer reaction of the host vehicle.

The project will be in collaboration with Provizio, who are headquartered in Limerick City. The Provizio team is made up of experts in robotics, artificial intelligence, computer vision and radar sensor development and are building an augmented, ‘guardian angel’ platform that could prevent road accidents. The candidate will work on AI solutions for automotive accident prevention using Provizio 5D radars with AI on-the-edge.

 

 

Faculty
Science and Engineering
Entry Requirements

The ideal candidate will have a Bachelor’s (BE/BSc) or a Master’s (ME/MSc) Degree in Electronic Engineering, Computer Engineering, Computer Science, Computational Mathematics, or a related numerate discipline.

Skills and Competencies:

The successful candidate will…

  • Be passionate about artificial intelligence and machine learning
  • Be enthused by the opportunity to work closely with industry collaborators
  • Have strong computational skills (e.g., Python, MATLAB, C/C++, etc.)
  • Have experience with machine learning tools (e.g., Scikit-learn, Tensorflow, PyTorch, etc.)
  • Be comfortable with managing and curating large datasets
  • Be self-motivated, output driven, and have good communication and presentation skills

The following attributes are desirable, but not required:

  • Knowledge of radar systems or processing of radar data
  • Industrial experience
  • Experience in the use of neural networks, particularly CNNs
  • Track record in publication of research
Funding/Stipend
Stipend €18,500 normally tax free per annum, and EU tuition fees covered for a period of 4 years. Non-EU students may have to pay balance of full fees.
Contact & How to Apply

To apply, please submit your CV to ciaran.eising@ul.ie, including details of at least two referees. Shortlisted applicants may be invited to interview.

Additional Information

The successful candidate will work within the Data-driven Intelligent Computational Engineering Group in UL, under the supervision of Dr. Ciarán Eising (link, link) and Dr. Pepijn Van De Ven (link). This is a dynamic group of like-minded researchers investigating many applications of machine learning and computer vision, in areas such as automotive, robotics, medical, health and municipal, among others. The post is available on the 1st of January 2022 (or as soon as possible after that date).

To apply, please submit your CV to ciaran.eising@ul.ie, including details of at least two referees. Shortlisted applicants may be invited to interview. On receiving an offer, the successful applicant will be required to submit supporting documentation (e.g., Copies of degree certificates and English language competency where required).

Project(s)

https://www.jobs.ac.uk/job/CVD700/phd-studentships-in-psychology-2022

PhD Research Topic 1: 

Title: Psychological resilience and cardiovascular adaptation to stress

Supervisors: Dr Siobhán Howard (siobhan.howard@ul.ie and Prof Stephen Gallagher (stephen.gallagher@ul.ie)

PhD Research Topic 2: 

Title: Pre-burnout in Workplace Heroes: Identifying the early warning signs for burnout at work

Supervisors: Dr Elaine L. Kinsella (elaine.kinsella@ul.ie) & Prof. Stephen Gallagher (University of Limerick), and Dr. Rachel C. Sumner (Cardiff Metropolitan University)

PhD Research Topic 3:

Title: Feeling trusted – effects on stress experience, physiological reactions, and health

Supervisors: Dr. Ann-Christin Posten (ann-christin.posten@ul.ie) and Prof Stephen Gallagher

PhD Research Topic 4:

Title: A social identity approach to internalised stigma

Supervisors: Dr. Aisling O’Donnell (aisling.odonnell@ul.ie) and Dr. Daragh Bradshaw (daragh.bradshaw@ul.ie)

PhD Research Topic 5; 

Title: The impact of maternal incarceration on individuals, families, and communities

Supervisors: Dr Daragh Bradshaw (Daragh.bradshaw@ul.ie), Dr Anca Minescu (Anca.Minescu@ul.ie)

PhD Research Topic 6: 

Title: Exploring optimal management of gestational diabetes: A mixed methods study

Supervisors: Dr Ann-Marie Creaven (ann-marie.creaven@ul.ie); Dr Aisling O’Donnell (aisling.odonnell@ul.ie) & Dr Tomás Griffin (School of Medicine; t.griffin3@universityofgalway.ie)

PhD Research Topic 7:

Title: MY-Psy - Promoting Mental Health and Well-Being in Youth through Psychological Science

Supervisors: Dr Jennifer McMahon (Jennifer.mcmahon@ul.ie); Dr Siobhán Howard (siobhan.howard@ul.ie)

PhD Research Topic 8:

Title: On the Social & Personality Psychology of Neo-Fascism

Supervisors: Professor Eric R. Igou (eric.igou@ul.ie) and Dr. Paul Maher (Paul.maher@ul.ie)

Faculty
Education and Health Sciences
Entry Requirements

Normally a First Class Honour's Primary Degree or Master's Degree in a cognate discipline

Funding/Stipend
The PhD Studentship will include a stipend (11,000) and EU fees. For non-EU applicants, a non-EU fee waiver may also be available, but this cannot be guaranteed (a difference of approximately 6000p.a.)
Contact & How to Apply

For further information, please contact the Department of Psychology email Psychology@ul.ie 

 

Project(s)

Over the past number of decades the electric grid has been modernized, becoming more decarbonized, distributed and digitalized. As a consequence modern day electric grid systems have evolved to become smart grids allowing: two way flow of electricity and data enabling applications such as smart metering; deregulation of the energy market introducing new players in the generation and supply of electricity; and decentralization (distributed generation of electricity) and corresponding emergence of ”prosumers” who can both produce and consume electricity; and microgrids providing small, local distribution systems that can be connected to the main grid or operated independently.

Faculty
Science and Engineering
Entry Requirements

The ideal candidate will have a Bachelor’s (BE/BSc) or a Master’s (ME/MSc) Degree in Electronic Engineering, Computer Engineering, Computer Science, Electrical Engineering, or a related numerate/STEM discipline.

Good knowledge of/Interest in SDN would be of benefit. 

Funding/Stipend
EU applicants will be eligible for a full award paying fees and maintenance at standard rates. The stipend rates for studentships are €5,500 EU fees, stipend €18,500 per annum. Travel and equipment costs also included.
Contact & How to Apply

Dr Tom Newe, email: thomas.newe@ul.ie 

Additional Information

This project is co-funded between the SFI Advance CRT and the SFI Confirm Research Centre. The supervision team will consist of: Prof Donna O’Shea (Linkedin) (MTU@Cork), Dr Tom Newe (UL-Profile, Linkedin) (UL) and Dr Mubashir Rehmani (Linkedin) (MTU@Cork).

Please submit your CV to Thomas.newe@ul.ie including details of at least two referees. Shortlisted applicants may be invited to interview. On receiving an offer, the successful applicant will be required to submit supporting documentation (e.g., Copies of degree certificates and English language competency where required).

The successful student can be based in either Limerick or Cork but will need to spend time in both campuses, MTU and UL over the four years for different aspects of the work.

Project(s)

Applications are invited for one of three funded four-year PhD Studentships in Youth Justice. The successful applicant will join the North South Research Programme project ‘Stable Lives Safer Streets Hub’ (SLSSHub) and the Research into Policy Programmes and Practice Project (REPPP) in the School of Law, University of Limerick (UL).

SLSSHub is a collaborative project between UL, Queens University Belfast, and the Center for Effective Services. The hub aims to develop a multi-disciplinary cross-border policy-led research hub of excellence in Youth Justice. As part of the SLSSHub, the PhD Studentship awardee will work with the team lead on one of two engaged research work programmes

  1. Develop a standardise measurement tool for young people enrolled on targeted youth justice prevention and intervention programmes.
  2. Implementation of an element of the National Youth Justice Strategy (2021-2027) and the NI Strategic Framework for Youth Justice (2022-2027) (2 positions)
Faculty
School of Law
Entry Requirements

Applications are sought from candidates who hold or are in the process of completing an undergraduate or master’s degree in a social science, applied maths, computer science or cognate discipline with a 2.1 Honours degree or higher.

Candidates should have good methodology skills, be highly motivated, with the ability to work on their own initiative and as part of a multi-disciplinary team. Candidates should have strong inter-personal skills with an ability to engage with external stakeholders.

Funding/Stipend
A stipend of €18,500 per annum for four years. The studentship also covers EU tuition fees for four years (renewed annually). Non-EU applicant welcome but will need to self-finance the balance of the non-EU fees.
Contact & How to Apply

Dr Catherine Naughton, PI SLSSHub, REPPP, School of Law, University of Limerick  Email: Catherine.Naughton@ul.ie 

Prospective applicants should email to Catherine.Naughton@ul.ie by 17th August 2022.

  • 2-page Curriculum Vitae
  • Short cover letter indicating your motivation and interest in one of the two projects (maximum one page)
  • A writing sample of 2,000 words
  • 2 Referees
  • Please include SLSShub_PhD and your name in the subject line.

Applications should be submitted in PDF format only. The PhD Studentship will commence in September 2022.

Additional Information

The successful candidate will be required to apply formally to be admitted as a PhD student by the University of Limerick.

Enquiries can be directed to Dr Catherine Naughton

Each PhD student will receive a stipend of €18,500 per annum for four years. The studentship also covers EU tuition fees for four years (renewed annually). Non-EU applicant welcome but will need to self-finance the balance of the non-EU fees. A travel allowance is included to facilitate travel, training and conference attendance, and a mobility allowance if the awardee chooses to relocate to Queens University Belfast for 12 months.

Project(s)

Title: Towards the development of a next generation, biomimetic embryo culture and diagnostics system for assisted human reproduction (embryoFlow)

One in six couples worldwide have problems conceiving and many of these will undergo fertility treatment. Within fertility clinics two out of three cycles fail due in-part to inadequate in vitro embryo culture conditions, whereby embryos are cultured in static droplets (in their own waste products) under mineral oil (to prevent evaporation) for five days. This contrasts to a delicate changing milieu in vivo whereby, the developing embryo moves down the fallopian tube and into the uterus in the first few days after fertilisation. Therefore, the aim of this innovative and exciting project is to apply design thinking to design, develop and test a state-of-the-art in vitro biomimicry embryo culture prototype system to maximise the chance for a successful treatment outcome for couples undergoing fertility treatment.

The embryoFlow system will be built on a microfluidics platform (already developed for sperm selection) which will allow embryos to be cultured individually in microdroplets with the media changed regularly without disturbing the embryo. This embryo secretome in the spent culture media can be used in diagnostics to determine the molecular signature of the embryo. When combined with time-lapse imaging this will inform the embryologist and couple on which embryo will give the best chance of a successful pregnancy.

Faculty
Science and Engineering
Entry Requirements
  • Minimum of a BSc (Hons level 8) in a Design Engineering or related discipline
  • Experience of design research methodology and application, or similar
  • Qualitative research methodology experience, including data collection and analysis
  • Experience with CAD software and prototyping processes such as CNC machining, 3D printing and hand-finishing
  • Enthusiastic individual with motivation to work on own and as part of a multidisciplinary team
  • Full clean driving licence and own car an advantage
Funding/Stipend
Funding is available to support a PhD researcher over a four-year period, encompassing annual EU registration fees (for four years) and a tax-free stipend of €16,000 per annum. The successful candidate will register for a structured PhD at the University
Contact & How to Apply

Please send a CV, a cover letter, and a copy of university transcripts to eoin.white@ul.ie by 22 August 2022. Application Submission: Please note that only short-listed candidates will be informed regarding their application status.

Additional Information

This is an exciting opportunity to join a multidisciplinary team at the University of Limerick.

  • Dr Eoin White is a Lecturer in Design for Health & Wellbeing within the School of Design and his research focuses on medical device development, design validation, human factors and regulatory considerations.
  • Professor Sean Fair is a Principal Investigator within the Biomaterials Research Cluster, Bernal Institute at the University of Limerick. He leads a large well-funded internationally focused research team in Reproductive Biology which is focused on using in vitro and in vivo animal models to understand how gametes interact with the female reproductive tract. The successful candidate will be primarily based in the School of Design but will work with Professor Fair’s research group as well as other academic and industry partners.

Project: Mathematical modelling of wrinkles in viscous sheets Supervisor: Dr. Doireann O’Kiely

Location: MACSI, Department of Mathematics and Statistics, University of Limerick Start date:

Autumn 2023: applications will be considered on a rolling basis from 15 May until this position is filled. PhD structure: This project is a full-time 4-year structured PhD project based in the Mathematics Applications Consortium for Science and Industry (MACSI) in the Department of Mathematics and Statistics at University of Limerick. The funding includes a tax-free stipend along with expenses for computing equipment, conference travel and materials. Home/EU fees are provided for in the funding; international students will need to apply for a fee waiver from the University of Limerick.

PhD topic: Wrinkles appear in many situations where thin sheets undergo direct or indirect compression. Everyday examples include deflating balloons and stretched plastic wrapping. In technology, wrinkles can be used to redirect light in photovoltaics, they can act as microchannels for microfluidic devices, and they provide flexibility in electronic circuits. They also appear in as an unwanted by-product in the manufacture of glass screens and metal parts. Mathematical modelling plays a key role in improving our understanding of wrinkles, allowing them to be avoided when they are problematic, and exploited where they are useful.

Currently, mathematical modelling of wrinkles focuses on idealized, purely elastic behaviour. Many real-world materials display other behaviours, such as plasticity or viscous flow. The goal of this PhD project is to develop a mathematical framework for modelling and controlling wrinkles in sheets of viscous fluid. This will involve the use of differential equations together with dimensional analysis and/or scaling analysis to create a mathematical model, and the use of perturbation methods/asymptotic analysis together with scientific computation/numerical methods to make predictions. Please note that this is not a Computational Fluid Dynamics project, and the research will have a strong emphasis on mathematical analysis.

Requirements: Applicants should have (or be on track for) at least a 2.1 honours degree or equivalent applied mathematics, physics, mechanical engineering or a closely-related discipline. Applicants must demonstrate proficiency in high-level mathematics and continuum mechanics. Applicants for whom English is a second language will be required to demonstrate their competence in the English language in line with University of Limerick requirements.

Funding notes: Stipend of €19,000 per year for four years, with budget for travel and laptop. Fees for Home/EU students will be covered automatically, while international students can apply for a fee waiver from the university.

Application: Applicants should email Dr Doireann O’Kiely (doireann.okiely@ul.ie) to apply with a 2-page CV and a short cover letter/statement of purpose (2 pages max) indicating how their skills align with the project and their motivation for applying. The application CV should, at minimum, include the applicant’s name, education institution, qualification stating overall grade/percentage (predicted grades are acceptable for those still studying) and contact details of two academic referees.

Informal queries are also welcome to doireann.okiely@ul.ie

This is a re-advertisement of the position Mathematical models for wrinkle technology [fluid mechanics]; previous candidates do not need to re-apply.

Project topic: Digital Health in Cancer.

Project lead: Prof Aedin Culhane

Project location: School of Medicine, University of Limerick, Queen's University Belfast

Application deadline: June 15th, 2023

Start date: Successful applicants should be registered by September 2023.
 

Project Description:

The eHealth-Hub for digital health research in cancer is an All-Island collaboration between the University of Limerick Digital Cancer Research Centre (LDCRC), and Patrick G Johnston Centre for Cancer Research at Queen's University Belfast, which was recently established with a 4-million-euro award from the Higher Education Authority Shared Island programme. The eHealth-Hub for Cancer partners with seven universities, eight hospitals, industry, and international partners. Multidisciplinary teams of bioinformatics, biostatisticians, epidemiologists, software developers, clinicians and cancer doctors are developing new innovative algorithms and software to advance cancer digital health and real-world evidence research. The LDCRC is a recently launched research centre of excellence, that includes over 100 scientists and 10 research labs that provides an interdisciplinary, creative, scientific environment and is supported by high-end, innovative technologies in single cell spatial biology, biomaterials engineering, software engineering, data science and bioinformatics.

We are looking for 5 PhD students to work on cutting-edge cancer health data science research. Fully funded PhD studentship includes a tax-free stipend (with fees paid) along with expenses, 12-month travel to partner sites and materials are available.

Key Research Hub Areas:

Computational Cancer Genomics

Digital Health Software Development

Cancer Data Science

Real World Data Research

Faculty: School of Medicine

Skills and Competencies:

The PhD students will be responsible for the development and application of novel methods and techniques on data from all-island cancer electronic health data to harmonise cancer data and build federated cancer eHealth research that will leverage national, EU and global data. We will develop next generation clinical- decision making applications that match patients’ cancer data to clinical trials and targeted therapy.

An extensive training program in software development and cancer real-world evidence research will be provided to students. Students will have state-of-the-art local and cloud computing facilities, be immersed in an exciting, well-funded academic environment, and will have opportunities to attend national and international conferences. Students will actively contribute to global open-source software projects in digital health, work with international consortium OHDSI, HL7-FHIR, R /Bioconductor and deliver high-impact, all-island and pan-EU research that informs cancer research, patient care and public health policy. 

The successful candidate will…

  • Be passionate about data science, artificial intelligence, and machine learning.
  • Be enthused by the opportunity to work closely in a multidisciplinary team with clinical collaborators and advance cancer research.
  • Strong analytical or problem-solving skills.
  • Have strong computational skills (e.g., Python, R, Java, C/C++, etc.)
  • Be self-motivated, output driven, and have good communication and presentation skills.

The following attributes are desirable, but not required:

  • Knowledge of natural language processing
  • Experience working with clinical informatics data, clinical ontologies.
  • Knowledge of cancer genetics and genomics
  • Knowledge of relational databases, ETL and data API concepts
  • Working with open-source software (e.g., OHDSI, R, Bioconductor)
  • Track record in presentation or publication of research


Entry Requirements: (one of the following)

  • At least a master’s degree in statistics, epidemiologists, bioinformatics, computational biology, software engineering or a related quantitative discipline.
  • At least a bachelor's degree (2.1 honours, GPA 3.0 equivalent or higher) in the biostatistics, epidemiologists, bioinformatics, computational biology, software engineering or a related quantitative discipline. Candidates with relevant work experience strongly preferred.
  • Candidates with a degree in another domain with relevant work experience.

Applicants for whom English is a second language will be required to demonstrate their competence in the English language in line with University of Limerick requirements.

Students must have 6.5 IELT English language.

Funding/Stipend:

Both EU and non-EU applicants will be eligible for a full award including a tax-free stipend of at least €18,500 per year for four years, with full fees paid and budget for up to 12-month travel to partner sites and materials provided.

Application Procedure:

Prospective applicants should email to eHealth@ul.ie by 15th June 2023.

  • Curriculum Vitae or Resume
  • Short cover letter indicating your motivation (maximum of 2 pages)
  • A statement on software development experience.
  • A link to your GitHub account.
  • 2 Referees
  • Please include “PhD Application” and your name in the subject line.

Applications should be submitted in PDF format only. The PhD Studentship will commence in September 2023.

Additional information:

The successful candidate will be required to apply formally to be admitted as a PhD student by the University of Limerick.

Informal queries can be made to Aedin Culhane by emailing eHealth@ul.ie.   Website eHealth4Cancer.org, Related recent news coverage; RTE Brainstorm article.

 

Opportunities for 2 Year Funded Masters by Research in Sustainability
 

20FIFTY Partners currently has a number of 2 year, fully funded masters by research opportunities on offer. The successful candidates will come from a suitable environmental, engineering, scientific, business or data analytics background and work on projects in one of the following areas: -


- Best practices in Water Stewardship across Irish Industry in context of the forthcoming Corporate Sustainability Reporting Directive (CSRD) mandatory reporting requirements for large firms


- Best practices in Emissions Reduction across Irish Industry in context of the forthcoming CSRD mandatory reporting requirements for large firms


- Best practices in Biodiversity Action across Irish Industry in context of the forthcoming CSRD mandatory reporting requirements for large firms


- Best practices in Circularity across Irish Industry in context of the forthcoming CSRD mandatory reporting requirements for large firms


- Best practices in Pollution Prevention and Control across Irish Industry in context of the forthcoming CSRD mandatory reporting requirements for large firms


- Best practices in sustainable supply chain management across Irish Industry


- Best practices in data management and analytics for managing sustainability needs and forthcoming reporting requirements across Irish industry


- Corporate HRM development across Irish Industry in the context in context of the forthcoming CSRD mandatory reporting requirements for large firms


Participants will be provided with extensive skills development opportunities through existing 20FIFTY Partners programmes. Throughout the two years participants will get the opportunity to network with a wide range of sustainability experts and professionals in this field.


The successful candidates will be based at the Research Centre at 20FIFTY Partners HQ on the National Technology Park adjacent to the University of Limerick. Candidates may be offered the option of a contract extension for a third year to include a placement in industry providing real-life experience of the challenges for business in implementing sustainability programmes.


What we offer
- a stipend of €18,500 per annum for 2 years
- a contribution to fees, including non-EU fees, up to a maximum of €5,750 per annum and
- eligible direct research expenses of up to €3,250 per annum
- A year three placement option


Eligibility
Applications are welcome from graduates with a minimum grade of 2.1. in a relevant discipline


Note that awards, made to applicants awaiting results, are subject to the student achieving at least a 2.1 in their degree.

Applicants required to have a visa to study in Ireland must hold a valid visa at the time of application and extend to cover the period of the Masters programme (3 years).

Applicants if selected will be required to take part in an interview and assessment process

Rolling Deadline
Course will remain open until such time as all places have been filled, therefore early application is advised


How to apply
Expressions of Interest are currently being sought by way of CV, a personal statement outlining your key research interests and motivations and two referees (one must be your academic supervisor).


Applicants who may have funding from other sources should provide details of this funding. Applicants who are required to have a visa should also provide sufficient details required to support their application and expiry dates of the visas held.


Submissions by email to mbrennan@20fiftypartners.com