Funded Postgraduate Research Scholarships
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.
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.
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)
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.
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.
- 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
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.
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.
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.
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
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.
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).
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)
Normally a First Class Honour's Primary Degree or Master's Degree in a cognate discipline
For further information, please contact the Department of Psychology email Psychology@ul.ie
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.
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.
Dr Tom Newe, email: thomas.newe@ul.ie
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.
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
- Develop a standardise measurement tool for young people enrolled on targeted youth justice prevention and intervention programmes.
- Implementation of an element of the National Youth Justice Strategy (2021-2027) and the NI Strategic Framework for Youth Justice (2022-2027) (2 positions)
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.
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.
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.