Funded Postgraduate Research Scholarships | Graduate School, University of Limerick

Funded Postgraduate Research Scholarships

Current Postgraduate Funded Research Master's and PhD Scholarships are listed below.

Applicants interested in applying for a research masters or PhD should also check individual Faculty webpages for information on current research projects.

Date Published Funded PhD Studentship-Details  
18/4/2019 PhD Scholarship: Developing a Manufacturing Analytics Cockpit More
18/4/2019 PhD Scholarship: Sematic model for safety and security levels relevant to manufacturing components More 
18/4/2019 PhD Scholarship: Domain Specific Language for workflows More 
28/03/2019 PhD Scholarship in Production of biobased solvents form lignocellulosic biomass More
24/01/2019 PhD Scholarship in Cancer Sciences-B cell malignancies More
24/01/2019 PhD Scholarship in Cancer Sciences-Hodgkin lymphoma More 
15/01/2019 PhD Scholarship: Designing Next-Generation Pharmaceuticals with Atomic-scale Precision More
14/01/2019 PhD Scholarship: Blockchain Applications in Supply Chains More
10/12/2018 Irish Research Council Laureate Project Scholar: 2 PhD Scholarships (History) More 
20/09/2018 PhD Scholarship: Model-Based-System-Engineering for Advanced Analytics  More
20/09/2018 4 PhD School of Design Scholarships -'Health in a Box'  More
16/07/2018 PhD Food Microbiology - Survival and growth of Listeria monocytogenes More 
25/06/2018 PhD Liquid Cooling and the Future of 5G Networking More 
01/06/2018 2 PhD Scholarships- School of Allied Health More
  PhD Scholarships: Dept of Pyschology More
 

Up to 8 PhD positions in Advanced Composites Structures and their Manufacture

More
  Funded PhD Positions in Lero The Irish Software Engineering Centre  More
     

 

Studentship

PhD Scholarship: Developing a Manufacturing Analytics Cockpit

Project(s)

Project Background:  In the CONFIRM research centre on Smart Manufacturing as well as in Industry 4.0 in general, a Digital Thread connects the data and processes for smarter products, smarter production, and smarter integrated ecosystems. While the tangible goods (products and production lines) are understood as needing a Digital Twin as an executable model, i.e. an in-silico entity on which to virtually explore design, production, quality, and lifetime maintenance, the immaterial goods like software and analytics artefacts are not yet treated on par.

For this new paradigm to enter mainstream, models need to be coupled with automatic transformations, generations, and analyses that take advantage of the formalized knowledge about the immaterial and material entities. This formalized knowledge includes a variety of models together wit Domain Specific Languages that use semantic types at their core.

In this project, we build demonstrators of how the new thinking can disrupt the status quo but empower a better understanding, a more efficient organization, and a more automatic management of the many cross-dimensional issues that future connected software and systems will depend upon.

Research Summary: The objective of this specific work is to develop a set of applications that constitute a Manufacturing Analytics Cockpit.  The Cockpit builds on existing analytics tools capable of formally modelling, reasoning, and visualising discrete manufacturing, inventory management, supply chains, operational risk management, and logistics problems. In the Cockpit, these tools will form an “operating system” for manufacturing planning, execution, control, and decision making to support a sense-analyse-act-visualise cycle.

•Sense level will focus on aspects of data management, sensor data aggregation, and data interoperability;

•Analyse level considers real-time data analytics, such as time-series classification and prediction;

•Act level will combine the use of advanced tools in operations research, AI, planning, diagnosis, and recommender systems to generate schedules and advice to key stakeholder users.

•Visualisation components will generate configurable user-driven visual querying of the underlying data, analytics, and decisions to help interpretation. 

Faculty

Science & Engineering: CONFIRM Centre for Smart Manufacturing 

Entry Requirements

Essential attributes: Honours undergraduate (level 8) degree, Master’s degree, or equivalent, in a field related to the project, such as computer science, engineering.

We require persons with expertise in information modelling, use of models in software design, ability to program in Java or similar languages, and good interpersonal skills. 

Knowledge of logic or knowledge representation formalisms and previous project experience are desirable skills.

Funding/Stipend

Stipend of €18,000 tax free per annum, EU tuition fees covered.  Non-EU students may have to pay balance of full fees.

Closing Date 15 May 2019

Contact & How to apply

Please send your CV/Resume with the ID REF# C-PHD-3, transcript of records, and a cover letter in support of these requirements and including the name of 2 references with full contact  information  to tiziana.margaria@ul.ie

Additional Information

CONFIRM Centre for Smart Manufacturing is a Science Foundation Ireland (SFI)-funded national research centre that benefits from the expertise across 8 core research performing organisations in Ireland, 16 international collaborations, and over 40 Industry partners across multinational companies and Small and medium enterprises in many sectors. Smart Manufacturing has been defined as fully-integrated, collaborative manufacturing systems that respond intelligently and in real-time to meet changing physical, digital and business process demands and conditions within the factory and along its entire value chain (e.g. supply network and customer needs). CONFIRM’s vision is to transform the Irish industry to become world-leaders in smart manufacturing.

 

 

Studentship

PhD Scholarship: Sematic model for safety and security levels relevant to manufacturing components

Project(s)

Project Background:  In the CONFIRM research centre on Smart Manufacturing as well as in Industry 4.0 in general, a Digital Thread connects the data and processes for smarter products, smarter production, and smarter integrated ecosystems. While the tangible goods (products and production lines) are understood as needing a Digital Twin as an executable model, i.e. an in-silico entity on which to virtually explore design, production, quality, and lifetime maintenance, the immaterial goods like software and analytics artefacts are not yet treated on par.

For this new paradigm to enter mainstream, models need to be coupled with automatic transformations, generations, and analyses that take advantage of the formalized knowledge about the immaterial and material entities. This formalized knowledge includes a variety of models together wit Domain Specific Languages that use semantic types at their core.

In this project, we build demonstrators of how the new thinking can disrupt the status quo but empower a better understanding, a more efficient organization, and a more automatic management of the many cross-dimensional issues that future connected software and systems will depend upon.

Research Summary:  The objective of this specific work is to develop semantic data and feature representation models with comprehensive access policies that enable access control and security roles, within a Manufacturing Analytics Cockpit demonstrator.  

The goal of the semantic layer and policies is to ensure that (i) the correct functions are performed, (ii) only authorized persons have access to the knowledge base, and (iii) to secure communication between sensors, devices and production components. A concrete objective is to transform data, knowledge and experience gathered from specific manufacturing sites into an adequate semantic layer for the Cockpit, and develop a collection of templates or archetypes of manufacturing conditions for use by CONFIRM participants at other sites.

Faculty

Science & Engineering: CONFIRM Centre for Smart Manufacturing

Entry Requirements

Essential attributes: Honours undergraduate (level 8) degree, Master’s degree, or equivalent, in a field related to the project, such as computer science or engineering.

We require persons with expertise in information modelling, use of models in software design, ability to program in Java or similar languages, and good interpersonal skills. 

Knowledge of logic or knowledge representation formalisms and previous project experience are desirable skills.

Funding/Stipend

Stipend of €18,000 tax free per annum, EU tuition fees covered.  Non-EU students may have to pay balance of full fees.

Closing Date 15 May 2019

Contact & How to apply

Please send your CV/Resume with the ID REF# C-PHD-25, transcript of records, and a cover letter in support of these requirements and including the name of 2 references with full contact  information to tiziana.margaria@ul.ie 

Additional Information

CONFIRM Centre for Smart Manufacturing is a Science Foundation Ireland (SFI)-funded national research centre that benefits from the expertise across 8 core research performing organisations in Ireland, 16 international collaborations, and over 40 Industry partners across multinational companies and Small and medium enterprises in many sectors. Smart Manufacturing has been defined as fully-integrated, collaborative manufacturing systems that respond intelligently and in real-time to meet changing physical, digital and business process demands and conditions within the factory and along its entire value chain (e.g. supply network and customer needs). CONFIRM’s vision is to transform the Irish industry to become world-leaders in smart manufacturing.

 

Studentship

PhD Scholarship:  Domain Specific Language for workflows

Project(s)

Project Background:  In the Confirm research centre on Smart Manufacturing as well as in Industry 4.0 in general, a Digital Thread connects the data and processes for smarter products, smarter production, and smarter integrated ecosystems. While the tangible goods (products and production lines) are understood as needing a Digital Twin as an executable model, i.e. an in-silico entity on which to virtually explore design, production, quality, and lifetime maintenance, the immaterial goods like software and analytics artefacts are not yet treated on par.

For this new paradigm to enter mainstream, models need to be coupled with automatic transformations, generations, and analyses that take advantage of the formalized knowledge about the immaterial and material entities. This formalized knowledge includes a variety of models together wit Domain Specific Languages that use semantic types at their core.

In this project, we build demonstrators of how the new thinking can disrupt the status quo but empower a better understanding, a more efficient organization, and a more automatic management of the many cross-dimensional issues that future connected software and systems will depend upon.

Research Summary: The objective of this specific work is to develop a service-oriented Domain Specific Language in the context of the Manufacturing Analytics Cockpit demonstrator currently under development. The DSL is the basis for the design of the processes and workflows in the Cockpit, concerning its normal functioning mode, the detection of failures and the design of countermeasures, and of a library of templates for safety-constraints and requirements for the safety and security of industrial control networks and systems it addresses. 

Faculty

Science & Engineering: CONFIRM Centre for Smart Manufacturing

Entry Requirements

Essential attributes: Honours undergraduate (level 8) degree, Master’s degree, or equivalent, in a field related to the project, such as computer science, engineering.

We require persons with expertise in programming (in particular the ability to program in Java, C or similar languages), compilers and their use, information modelling, use of models in software design, and good interpersonal skills. Knowledge of logic or knowledge representation formalisms and previous project experience are desirable skills. 

Funding/Stipend

Stipend of €18,000 tax free per annum, EU tuition fees covered.  Non-EU students may have to pay balance of full fees.

Closing Date 15 May 2019

Contact & How to apply

Please send your CV/Resume with the ID REF# C-PHD-26, transcript of records, and a cover letter in support of these requirements and including the name of 2 references with full contact information to tiziana.margaria@ul.ie

Additional Information

CONFIRM Centre for Smart Manufacturing is a Science Foundation Ireland (SFI)-funded national research centre that benefits from the expertise across 8 core research performing organisations in Ireland, 16 international collaborations, and over 40 Industry partners across multinational companies and Small and medium enterprises in many sectors. Smart Manufacturing has been defined as fully-integrated, collaborative manufacturing systems that respond intelligently and in real-time to meet changing physical, digital and business process demands and conditions within the factory and along its entire value chain (e.g. supply network and customer needs). CONFIRM’s vision is to transform the Irish industry to become world-leaders in smart manufacturing.

 

Studentship

PhD Scholarship Production of biobased solvents form lignocellulosic biomass

Project(s)

This project will develop a chemical process for producing a bio-solvent, known as nonanone,  from  levulinic acid. Nonane will replace petroleum derived solvents such as hexane and octane in chemical process industries. Under conventional chemistry the production of nonanone from levulinic acid would involve the consumption of fossil fuel derived hydrogen, however a  key novel aspect of this project will be the use of our biomass derived formic acid  as a hydrogen donor to substitute for molecular hydrogen enhancing the sustainability of the process. 

This work will initially involve catalyst identification and selection. This will require an initial screening of a wide range of catalytic materials including metal oxides by testing them under standard condition  for levulinic acid hydrogenation to both gVL and pentanoic acid using HCOOH as the hydrogen donor. The reactions will be undertaken in high pressure Parr reactors and the products quantified using ion-chromatography for conversion and selectivity. The best catalysts will be characterised for their chemical composition and structural morphology (XRD, XPS, TEM). The optimum catalyst will undergo a series of tests where the reaction variable such as temperature, pressure,  catalyst loading and ratio of formic acid: levulinic acid will be varied. The reaction profiles will be monitored continuously with time and kinetic modelling of the data obtained will be used to identify the reaction mechanism. The catalyst will be tested in both aqueous and biphasic media incorporating an aqueous and organic phase. The influence of the acidity of the catalyst and solvent will be determined.

The cerium zirconia catalysts will be prepared by both wet impregnation and co-precipitation methods. The Ce loading and calcination temperature will be varied and the catalysts tested  for vapour phase ketonisation.  The catalysts will be characterised pre-testing using XRD, BET, and XPS while post tested catalysts will also undergo FT-Raman spectroscopy to identify residual organic contaminants.  The catalysts will tested in an PID high pressure gas flow reactor with in-line gas chromatography to analyse for pentanoic acid consumption and product formation. Thereaction condition that will be investigated include  catalyst loading, H2 concentration , temperature and pressure.  The conversion and selectivity of the catalyst will be determined. Catalyst reuse will be assessed for deactivation. 

Faculty

Science & Engineering

Entry Requirements BSc (2.1 minimum) or preferably MSc in Chemistry or Chemical Engineering
Funding/Stipend

Stipend of €18,000 tax free per annum, EU tuition fees covered.  Non-EU students may have to pay balance of full fees.

Closing Date 16 April 2019

Contact & How to apply

Professor J J Leahy, Dept of Chemical Sciences, University of Limerick email: j.j.leahy@ul.ie

Additional Information

The pharmaceutical and fine chemical industry recognises that solvents account for the majority of the waste produced in a typical batch process. There are also regulatory and compliance issues regarding safe solvent use and disposal.  There is an established acknowledged need to reduce hazardous solvent use and find benign substitutes, and this is the focus of this proposal. The proposal aims to develop a process for the production of a sustainable bio-based solvent from biomass to substitute for conventional organic solvents, reducing the environmental impact of industrial processes as well as making them safer.  Biomass such as wood or straw comprises three main chemical components, cellulose, lignin and hemicellulose. Under relatively mild conditions the cellulose can be converted into levulinic acid and formic acid which are known as platform chemical molecules. Platform chemicals are molecules which can be used to manufacture a very wide range of commodity chemicals such as pharmaceutical active ingredients or agrochemicals. Levulinic acid is a key chemical bridge connecting biomass and petroleum processing and is listed amongst the ten most important target chemicals by the US-DOE biomass programme.

 

 

Studentship

PhD Scholarship in Cancer Sciences - B cell malignancies

Project(s)

The contribution of the oncogenic Epstein-Barr virus to the pathogenesis of B cell malignancies

Faculty

Education & Health Sciences

Entry Requirements An appropriate Masters Degree or Primary Degree Level (first class hons or 2.1 hons) in a relevant discipline
Funding/Stipend

Stipend of €16,000 tax free per annum, EU tuition fees covered.  Non-EU students may have to pay balance of full fees.

Closing Date 31 March 2019

Contact & How to apply

A CV, University transcripts, 2 academic references and a letter of application indicating why you think your skills and experience meets the requirement for the project.

For Further Details, please contact via email Professor Paul Murray paul.murray@ul.ie Dr Claire Shannon- Lowe  c.shannonlowe@bham.ac.uk

Additional Information

The majority of B cell malignancies arise within the germinal centre, a stage of B cell differentiation associated with significant genetic instability. The Epstein-Barr virus (EBV) is a human herpesvirus that can colonise germinal centre B cells as part of its natural life cycle in the asymptomatic host. However, EBV is associated with the development of germinal centre derived B cell malignancies.

This project seeks to unravel the contribution of EBV and its latent genes to the pathogenesis of germinal centre derived tumours using new models of disease to understand how EBV co-operates with other cellular mutations. There will be opportunities for study in other laboratories abroad as part of this studentship, including research groups at the University of Birmingham and the University of Cambridge.

For further reading see:

Young LS, Yap LF Murray PG. Nat Rev Cancer 2016 12: 789-802

Shannon-Lowe et al Philos Trans R Soc Lond B Biol Sci 2017 372:1732

 

Studentship

PhD Scholarship in Cancer Sciences - Hodgkin lymphoma

Project(s)

The contribution of CAMK1D to the pathogenesis of Hodgkin lymphoma

Faculty

Education & Health Sciences

Entry Requirements An appropriate Masters Degree or Primary Degree Level (first class hons or 2.1 hons) in a relevant discipline
Funding/Stipend

Stipend of €16,000 tax free per annum, EU tuition fees covered.  Non-EU students may have to pay balance of full fees.

Closing Date 31 March 2019

Contact & How to apply

A CV, University transcripts, 2 academic references and a letter of application indicating why you think your skills and experience meets the requirement for the project.

For Further Details, please contact via email Professor Paul Murray paul.murray@ul.ie 

Dr Fedor Berditchevski f.berditchevski@bham.ac.uk 

Professor Pamela Kearns p.r.kearns@bham.ac.uk

Additional Information

New approaches to the treatment of Hodgkin lymphoma (HL) are needed to increase survival for patients with resistant or relapsed disease and to reduce the acute and long-term side effects of current therapies that adversely impact on the health and well-being of survivors. 

We have shown that Ca+/calmodulin-dependent kinase 1D (CaMK1D), a member of a sub-family of Ca+/calmodulin-dependent protein kinases, is over-expressed in HL. We have generated a series of highly specific CaMK1D inhibitors that inhibit activation of CaMK1D in a dose dependent manner and we have demonstrated a dose-dependent cytotoxic effect in HL in CAMK1D-overexpressing HL cell lines.

In this project we will measure the expression and activation of CaMK1D in relation to disease outcomes in HL patients. We will also explore the impact of CaMK1D inhibition on the phenotype of HL cells, including aberrant cellular signalling, in vitro and evaluate the potential therapeutic effects of CaMK1D inhibitors alone and in combination with standard chemo-therapeutics in xenograft models.

The student will receive a broad range of training and there will be opportunities to spend part of the studentship working in the University of Birmingham Cancer Research Centre.

 

 

Studentship

PhD Scholarship: Designing Next-Generation Pharmaceuticals with Atomic-scale Precision

Project(s)

Do you want to learn how to design highly effective drug treatments from scratch, using computers to build the right molecules atom by atom? If you do, and have or expect to obtain this year a good honours degree in Chemistry, Physics or related discipline then we’d want to hear from you!

We currently have several PhD positions fully funded for four years starting September 2019 in computational design of novel pharmaceuticals based on controlled self-assembly of crystal and co-crystal formulations. Working in collaboration with the best experimental and industry teams in Ireland, the selected candidates will learn how to develop and apply state of the art computational chemistry and physics software to drastically reduce the amount of trial and error required in designing and refining potential drugs for a wide variety of conditions including neurodegenerative disorders, AIDS and cancers. You will join a world leading team of highly motivated, creative and expert PhD students and postdoctoral researchers all working on game-changing solutions for “bottom up” assembly of functional materials

Faculty

Science and Engineering, Dept. of Physics / Bernal Institute

Entry Requirements

The candidate must have or expect to obtain a first or 2.1 Hons degree in physics / chemistry or equivalent degree and have a strong interest in molecular modelling. 

Funding/Stipend

Stipend of €18,000 tax free per annum, EU tuition fees covered up to €5,500 p.a.  Non-EU students may have to pay balance of full fees.

Closing Date Rolling deadline until the vacancies are filled

Contact & How to apply

For more information please send your CV and motivation letter to damien.thompson@ul.ie.

Additional Information

 The starting date is September 2nd 2019 or as soon as possible thereafter.

 

Studentship

PhD Scholarship: Blockchain Applications in Supply Chains

Project(s)

Project Background:   Blockchain is an example of a distributed ledger. This means that data is stored not in a single location, but rather on a system of ‘nodes’. A node in this case represents an actor in the system that is online in said system.  There is an emerging interest about the use of blockchains in supply chains.  This is because blockchain technology has the potential to allow one to more securely and transparently track all types of transactions in a supply chain.  Early research has shown that the applications can be found in smart contracts, recording of assets, tracking of trade related documents and are an important aspect is the link between the physical and digital item.

Objectives:   The objective of this work is to carry out research into understanding the possibly use of blockchain in supply chains, and the implementation of these scenario(s), (using representative  data from companies within CONFIRM)  in  a test-bed to illustrate the advantages/disadvantages of such an approach. 

Research Work:  The steps of the research are: (i) research and understand blockchain;  (ii) research  the literature and understand the possibly benefits of blockchain within supply chains (iii) Review a number of companies supply chain systems; (iv) develop knowledge of tools (e.g., Ethereum, Hyperledger, Multichain, etc) to implement blockchains within supply chains; (v) Propose an overall architecture for selected scenarios from supply chains and implement these scenarios(s); (vi) Document the advantages/disadvantages of each scenario.

Novelty of Work: The adoption of blockchain in the supply chain and logistics is slow at present because of associated risks and the lack of demonstrable examples. However companies are very interested to understand the advantages or disadvantages of blockchains in supply chains. 

Faculty

Science & Engineering: CONFIRM  

Entry Requirements

Essential Attributes Honours undergraduate (level 8) degree, Master’s degree, or equivalent, in a field related to the project, such as computer science, engineering.

We require persons with good expertise in programming, and good communication skills.

Funding/Stipend

SFI PhD Stipend of €18,000 tax free per annum, EU tuition fees covered up to €5,500 p.a., non-EU students may have to pay balance of full fees.

Closing Date Rolling deadline until the vacancies are filled

Contact & How to apply

 Please send your CV/Resume with the ID REF# PhD-15 shown above and a cover letter in support of these requirements to cathal.heavey@ul.ie 

Additional Information

 

 

 

Studentship

Irish Research Council Laureate Project Scholar: 2 PhD Scholarships (History)

Project(s)

Death and Burial Data: Ireland 1864-1922. Funded under the Irish Research Council Laureate Award 2017-18.

Faculty

Arts Humanities & Social Sciences

Entry Requirements

Min 2H1 BA or MA Degree in the Historical Sciences or related discipline.

Funding/Stipend

16,000 + EU Fees non-EU candidates will have to make up fee shortfall. 

Closing Date 14 January 2019

Contact & How to apply

A CV, University transcripts, 2 academic references and a letter of application. In your letter state which position you wish to apply for, and provide 1,200 words on why you think your skills and experience meets the demands of the post. You may also discuss your methodology, potential research questions and how you would locate your work in the state of the art in the field. 

Submit your application by email to DBDIrl@ul.ie by 5pm on 14 January 2019. Shortlisted candidates will be called to interview. 

Additional Information

Using data from the General Registrar Office of Ireland and Coroners’ inquests held at the National Archives of Ireland this project aims to train and produce two PhDs in the fields of medical and digital humanities. Both topics have been defined in the overarching project aims as follows:

PhD 1. Tuberculosis, digital humanities and disease mapping, Ireland 1864-1922

PhD 2: The Irish coroners’ courts as spectacle.

For more information contact Main Principal Investigator Dr Ciara Breathnach Ciara.breathnach@ul.ie

 

Studentship

 PhD Scholarship: Model-Based-System-Engineering for Advanced Analytics 

Project(s)

The Confirm Centre for Smart Manufacturing is a new Science Foundation Ireland and industry funded research centre head-quartered at the University of Limerick with partner institutions Tyndall National Institute, University College Cork, Cork Institute of Technology, NUI Galway, Maynooth University, Athlone Institute of Technology and Limerick Institute of Technology. The Centre, which is funded by Science Foundation Ireland with co-funding from industry, brings together 42 industry partners and partners with 16 international manufacturing centres from around the globe to focus on the development of smart manufacturing for applications across Ireland’s leading industrial sectors. Confirm’s ambition is to become a world leader in smart manufacturing research and to enable Irish industry to fundamentally transform to a smart manufacturing ecosystem, delivering measurable and visible economic impact to Ireland. The successful candidate will work with a world-class team of academics, researchers and industry partners in a highly innovative and motivated environment.

Traditionally, systems-engineering practice has been dominated by paper (or paper-equivalent electronic files) documents. Such documents are read only by human beings, who comprehend the document and take further action. This practice is being replaced by a systems-engineering discipline that is based on information models that can be read by machines (in addition to being read by humans). Machine-readability is a prerequisite for automation, which improves both the quality and speed of information processing in systems engineering. Engineering complex systems, such as manufacturing and supply chains, has been moving steadily away from document-based practice to a model-based discipline. In fact, success in engineering complex systems strongly depends on proper application of model-based systems engineering (MBSE) to allow sharing of requirements across different disciplines.   

The objective of this thesis is to carry out research into Model-Based-System-Engineering (MBSE) methods to support requirements gathering in manufacturing and supply chains to support the use of advanced analytical models.       

The steps of the research are: (i) research the literature on MBSE and its wider importance to support quantitative methods in the implementation of Industry 4.0 (ii) This research work will be carried out within the SFI CONFIRM project from which user requirements will be gathered from a number of companies in this project; (iii) have knowledge of and be able to evaluate a number of methods available within the MBSE topic, that differ in degree of formality and check of system and design properties, with particular focus on Cinco (https://cinco.scce.info/) and DIME (http://dime.scce.info/), standards Systems Modeling Language (SysML) and Business process modeling notation (BPMN); (iv) Carry out research into integration of MBSE tools and quantitative tools; (v) Propose an overall architecture for integration of an MBSE tool and quantitative tools; (vi) develop test bed to validate the overall proposed architecture.

Faculty

Science & Engineering, School of Engineering

Entry Requirements

Essential Attributes

First class honours undergraduate degree, Master’s degree, or equivalent, in a field related to the project, such as computer science, engineering.

 We require persons with good expertise in programming, and good communication skills.

Funding/Stipend

SFI PhD Stipend of €18,000 tax free per annum, EU tuition fees covered up to €5,500 p.a., non-EU students may have to pay balance of full fees.

Closing Date Rolling deadline until the vacancies are filled

Contact & How to apply

Please send your CV/Resume with the ID REF# PhD-09 shown above and a cover letter in support of these requirements to cathal.heavey@ul.ie  tiziana.magaria@lero.ie 

Additional Information  

 

Studentship

 4 PhD School of Design Scholarships - 'Health in a Box' 

Project(s)

The School of Design (Design Factors Research Group) at the University of Limerick with a track record in User Centred Design in partnership with Johnson & Johnson (J&J), are providing four Postgraduate Scholarships.

Johnson & Johnson is the world’s largest and most broadly based healthcare company. For more than 130 years, J&J have aimed to keep people well at every age and every stage of life, improve access and affordability, create healthier communities, and put a healthy mind, body and environment within reach of everyone, everywhere. The global environment for Healthcare delivery and Wellbeing are of key strategic interest for J&J.  The development of innovative Products and Product Service Systems (PSS) for the growing demands of digitally native users and ageing populations is one of the strategic goals of the School of Design at UL. 

Students will have the opportunity to closely interact with and gain valuable transferrable skills and insights from the commercial/organisational arena while conducting excellent research. They will gain access to expertise and the latest advances in technology and thinking within the area of health. The scholarship offers the opportunity for suitably qualified, excellent individuals, with novel research ideas, to take the first step and to attain the skills and competencies of a successful researcher and innovator.

Faculty

 Faculty of Science & Engineering- School of Design

Entry Requirements

 An appropriate Masters Degree or Primary Degree Level (first class hons or 2.1 hons) in a relevant discipline

Funding/Stipend

Individual scholarships are valued at €23,750 per annum (€18k tax free stipend + EU Fees €5,750) per annum for 4 years.

Closing Date Friday 19 October 2018 @ 5pm

Contact & How to apply

1. Current CV.

2. An expression of interest document. This should be submitted in Word (.doc or .docx) format, and should be no more than 500 words long. The applicant should describe their own suitability for the project (50% weighted) and how they would like to develop the project (50% weighted) under the Health in a Box theme and one or more of the sub-themes mentioned above. This may include:

• A research project objective based on one of the above themes demonstrating the novelty and transformation of the project, specifying the problem/opportunity it will solve (problem/opportunity statement).

• The proposed methodology (including key risk and contingency plans).

• The potential impact and benefits the research project proposes to deliver.

3. A digital portfolio of past work may be submitted in PDF format or as a URL link to an online portfolio.

please email your completed application to Caroline Grogan email:caroline.grogan@ul.ie

Additional Information

For further information and queries, please email  caroline.grogan@ul.ie

Further detailed information  in relation to the project is available here 

 

Studentship

Food Microbiology - Survival and growth of Listeria monocytogenes

Project(s)

This project is funded by the Dept of Agriculture, Food and the Marine and is part of a listeria challenge consortium with partners from UL, Teagasc, UCD, UCC and NUIG. 

Background: L. monocytogenes is a problem for public health as incidences of listeriosis continue to rise, and is an industry problem as presence of L. monocytogenes will lead to product recalls. L. monocytogenes is resistant to a range of preservatives and processes used to control bacterial growth in food. It commonly cross-contaminates food from environmental reservoirs and can survive and grow in foods even at cold storage temperatures.  

In this project, challenge studies of L. monocytogenes in foods will be undertaken using the EU Reference Laboratory (EURL) challenge study guidelines in parallel with protocols where changes in temperature, pre-growth of the inoculum, inoculum size and inoculation method will be made. Changes in the food microbiome during shelf-life time-courses will be investigated to identify whether growth of Listeria can be manipulated through the presence or absence of food microbiome members. The foods tested, from Irish food processing environments, have previously shown high levels of L. monocytogenes or shown to support growth of L. monocytogenes. 

Faculty

Science & Engineering-School of Natural Sciences, Department of Biological Sciences

Entry Requirements

Essential Criteria

BSc (Level 8 NFQ first or second honours) or equivalent or completed a level 8 degree (first or second honours) before the start date in Food Science/Microbiology, Biological/Life Sciences, Environmental/Agricultural Sciences or a related field. Experience at undergraduate level in microbiological techniques, general or environmental chemistry, agricultural or biological or food sciences.

Desirable Criteria - Research

Assists the research leader and team members to conduct research as set out in the grant proposal.,Will conduct literature and database searches and interpret and present the findings of the literature searches. Is capable of following experimental protocols and can modify protocols or is able to develop new protocols. Has experience in microbiological techniques such as media preparation, aseptic handling or working with pure cultures. Has experience in general or food chemistry and analytics. Is capable to analyse and interpret results of own research with the support of the supervisor. Is able to learn new techniques and procedures in molecular biology and related subjects under supervision. Has knowledge in food processing or food preservation. Has practical skills in extractions of DNA from soil or microorganisms. Has knowledge in PCR applications and DNA analysis. Is experienced in cultivation of bacteria using general or selective media.

Desirable Criteria - Management

Is able to work and interact with multiple stakeholders in a research consortium. Able to plan and manage own day-to-day research activity within the framework of the agreed project (maintain work plan and lab-book, meet agreed schedules for research). Conducts analysis and interpretation of results of own research. Keep appropriate records as directed and in line with Funder/University policy.

 

Funding/Stipend

tudentship are valued  €23.5K (18K stipend + EU fees €5,500) per annum for 4 years.

Closing Date 31 August 2018 or until the studentship is filled, proposed start date October 2018 

Contact & How to apply

Applicants need to send via their letter of motivation and their CV as well as two names for references to: Dr. Achim Schmalenberger,  email achim.schmalenberger@ul.ie (please include "PhD application Listeria" in the subject field of the email) 

Additional Information

 Weblink to the PI’s Researchgate profile: www.researchgate.net/profile/Achim_Schmalenberger

 

Studentship

PhD Scholarship-Liquid Cooling and the Future of 5G Networking

Project(s)

Liquid Cooling and the Future of 5G 

Faculty

Science & Engineering- School of Engineering

Entry Requirements

1st class honours, 2.1 or equivalent in Mechanical Engineering or closely related discipline.

Funding/Stipend

€18,000 p.a, including EU Fees

Closing Date until the position is filled 
Contact & How to apply

Dr Vanessa Egan, vanessa.egan@ul.ie

Additional Information Project is funded CONNECT, an SFI centre. Student will enrol on UL’s structured PhD programme. Further information is available at :https://connectcentre.ie/news/connect-phd-programme/

 

Studentship

 2 PhD scholarships- the School of Allied Health

Project(s)

 The School of Allied Health  is delighted to offer two funded structured PhD scholarships,

one led by the ANCIR (Acquired Neurological Conditions Integrated Research) group and

one led by the SLCN (Speech, Language and Communication Needs) research group.

Faculty

Education & Health Sciences- School of Allied Health

Entry Requirements

 

Funding/Stipend

Our scholarships offer funding & fees

Closing Date 30 June 2018

Contact & How to apply

https://www.ul.ie/schoolalliedhealth/content/postgraduate-research-scholarship-school-allied-health

Additional Information

  

Studentship

Funded PhD Scholarships in Psychology

Project(s)

 Full details available http://www.ul.ie/psychology/phd-studentships

Faculty

Education and Health Sciences; Depatment of Psychology

Entry Requirements

 

Funding/Stipend

 

Closing Date  

Contact & How to apply

Further Details  http://www.ul.ie/psychology/phd-studentships

Additional Information  

 

Studentship

PhD Scholarships: Up to 8 positions  in Advanced Composites Structures and their Manufacture

Project(s)

VARICOMP – SFI funded project 

The purpose of these studentships is to conduct structural mechanics research into composite material structures and their components with the aim of manufacturing technology demonstrators. The successful candidates will also work as part of a larger team within the SFI funded VARICOMP programme collaborating on experimental and design work.

Based in the enviable new composite laboratories at University of Limerick, VARICOMP aims to take advantage of both spatially and temporally variable composite material properties for structural applications.

Faculty

Science and Engineering- Bernal Institute

Entry Requirements

We will consider exceptional students from an Engineering background with (or expecting to receive) at least a high 2.1 honours degree.

Funding/Stipend

Tuition Fees and Stipend

Closing Date Rolling Deadline until Positions are filled

Contact & How to apply

Professor Paul Weaver (paul.weaver@ul.ie)

Additional Information  

 

Studentship

Funded PhD Scholarships in Lero The Irish Software Engineering Centre

Project(s)

 6 PhD positions are available in the broad area of model-driven software engineering - See more details  at: http://www.lero.ie/phdposition/gb01

 1 PhD positions is in the broad area of Feature modelling and visualization - See more details at: http://www.lero.ie/phdposition/jb01

 7 PhD positions  are in the broad area of software development methods, including lean, agile and open source. - See more details  at: http://www.lero.ie/phdposition/bf01

 2 PhD positions  in the area of modelling and validation of processes and computations, within the paradigm of Continuous Software Development. -

 6 PhD positions are in the broad area of software process / software quality. Among the areas of particular interest are the following:


2 PhD positions are available in the broad area of software engineering for security, privacy and forensics - See more details at: http://www.lero.ie/phdposition/bn01

Faculty

Science & Engineering, Dept Computer Science & Information Systems  

Entry Requirements

 Normally a Master's Degree in a cognate discipline, please see specific entry requirements http://www.lero.ie/phdpositions

Funding/Stipend

The studentship are normally valued  €23.5K (18K stipend + EU fees €5,500) per annum for 4 years - commensurate with qualifications and experience.

Closing Date Rolling deadline until the vacancies are filled 

Contact & How to apply

http://www.lero.ie/phdpositions

Additional Information  http://www.lero.ie/phdpositions

     

 

 

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