REAMIT

Improving Resource Efficiency of Agribusiness supply chains by Minimising waste using Big Data and Internet of Things sensors

Project details

  • Programme: INTERREG North-West Europe
  • Duration of the Project: 42 months
  • Total budget: € 4.88 m
  • EU funding: € 2.93 m
  • Lead Partner: University of Bedfordshire (UK)
  • Partners: 
    • Images & RĂ©seaux (France)
    • National University of Ireland
    • University College Dublin (Ireland)
    • University of Nantes (France)
    • Levstone Ltd (UK)
    • Nottingham Trent University (UK)
    • Whysor (Netherlands)
    • Institute of Technology in Tralee (Ireland)
    • SenX (France)
    • Ulster University (UK)
    • Dunbia (Northern Ireland)

Aims and Objectives

The REAMIT project proposes to adapt and apply existing innovative technology to food supply chains in NWE to reduce food waste and hence improve resource efficiency. The EU has committed to halving food waste by 2030 by focusing on all stages in the supply chain. 35% of food waste in EU-28 has occurred in supply chains in 2012. Though technologies exist to reduce food waste, they have not been applied to food supply chains.

Specific objectives:

REAMIT will focus on fruits, vegetables, meat and fish as these are wasted in large quantities. The supply chain includes farms, packaging sites, food processors, distribution, logistics, wholesalers and retailers. The project will be carried out in Ireland, Germany, France, UK and the Netherlands due to the amount of interconnected food supply chains and huge food waste in these countries. The project will adapt existing Internet of Things and Big Data technologies to best fit the needs of the food supply chain management system in NWE. Through testing and adaptation, these technologies will be enabled to continuously monitor and record food quality and signal potential food quality issues. Through analytics, owners of ‘food to be at risk of becoming waste’ will be provided with decision support options to minimise food waste including redistribution to nearby customers. REAMIT project will save 1.8Mt of food waste or €3B per year in NWE, avoid 5.5Mt/yr of CO2 emissions, test and operationalise 8 solutions, and, support 20 enterprises. The technologies will be self-sustaining at the end of the project. They will be made available to the public via REAMIT website and social media.

The long-term effects of REAMIT will be optimising (re)use of food and natural resources in NWE economies and a consortium capable of jointly addressing the challenges in food sector.

The first newsletter is now available.

Opportunity – Research Assistant (Engineering –Mechatronics)

IMaR currently have an opening for a Research Assistant in Engineering – Mechatronics to join our team based out of the Institute of Technology Tralee.

Research Assistant

View job Specification

All applications to be made on-line.

Closing date for receipt of completed applications is 12.00 noon on Friday 21st February 2020

Applications received after the closing date will not be accepted

For details see the ITT vacancies page

Opportunities – 2 posts Software Engineering, Data Analytics and Machine Learning

IMaR currently has openings for 2 researcher to join our team:

  • Research Fellow – Software and Control Engineering
  • Research Assistant/Post-Doctoral Researcher – Data Analytics and Machine Learning

All applications to be made online. 

More information and application

Closing date for receipt of completed applications is 12.00 noon on Monday 2nd December 2019.

IMaR awarded funding for R&D equipment

The IMaR Research Centre at IT Tralee has been awarded funding by Enterprise Ireland for a significant investment into cutting-edge equipment for R&D in advanced manufacturing. This new equipment will be made available to Irish manufacturing companies to test and trial new technologies in manufacturing via the IMaR Enterprise Ireland Technology Gateway, IMaR’s outward facing industrial engagement division, based at IT Tralee.

In total, there were 43 successful applicants from the Institutes of Technology (IoT) and TU Dublin to the value of €6 million, of which IMaR have received 4 separate awards. The four funding awards include:

  • A fleet of autonomous industrial vehicles
  • A suite of industrial machinery monitoring equipment
  • An industrial wireless communication technology testbed
  • A high-performance industrial data-analytics server.

The development of the facility will allow IMaR to showcase current advancements in machine connectivity, industrial wireless communication and process automation and optimisation, along with providing a trialling space for new technologies under development by the IMaR Research Centre and partner companies.

Commenting on the funding announcement, Dr. Daniel Riordan, Manager of IMaR Technology Gateway and Director for Industrial Engagement said, “A key component of IMaR’s success in this funding call was its strong track record in industry engagement, specifically meeting the needs of the Irish Manufacturing sector. Funding for this testbed will allow Irish manufacturing to remain at the cutting edge of manufacturing efficiency, quality and profitability as the sector continues to implement the concepts of Industry 4.0 and the Industrial Internet of Things.”

Within IMaR this equipment will be combined to create an advanced manufacturing technology testbed, focusing on the Industrial Internet of Things (IIoT), which will open to Irish industry for the evaluation of system capabilities or to work collaboratively with the IMaR Research Centre on the research and development of new automation, robotics, machine monitoring and Data Analytics technologies.

Dr. Pat Doody, Joint Principal Investigator and Director of Advanced Studies of IMaR said “The award of this funding from Enterprise Ireland further confirms IMaR’s place as the primary research centre in Ireland for applied research into the Industrial Internet of Things. The funding will facilitate IMaR in providing state of the art technologies which will be made available to our current industry partners and will also be instrumental in attracting further companies to avail of the expertise offered by IMaR. This testbed will ensure that our partners continue to compete at the cutting edge.”

Opportunity: Researcher: Software Development

We are looking for a highly motivated, Software Developer to join the research team at IMaR. The successful candidate will collaboratively work and contribute to research projects in a variety of areas.

View job Specification

All applications to be made on-line.Closing date for receipt of completed applications is 12.00 noon on Monday 12th August 2019.

All application must be made through the ITT vacancies page

Opportunity – Research Assistant: Aquaculture

We are looking for a highly motivated, Research Assistant to join the research team at IMaR. The successful candidate will collaboratively work and contribute to a research programme in the area of aquaculture (shellfish farming). The main requirements of this post will be to provide field support to a research project, gathering growing process data from multiple shellfish farms throughout Ireland, evaluate, collate and document that data which will feed into a larger research project.

Research Assistant – Aquaculture

View job Specification

All applications to be made on-line.

Closing date for receipt of completed applications is 12.00 noon on Tuesday 8th May 2019.

All application must be made through the ITT vacancies page

Opportunity: Senior Software Developer

We are looking for a highly motivated, Senior Software Developer to join the research team at IMaR. The successful candidate will collaboratively work and contribute to a research project in the area of livestock traceability within the shellfish farming sector.

Senior Researcher: Software Development Engineer

View job Specification

All applications to be made on-line.Closing date for receipt of completed applications is 12.00 noon on Tuesday 8th May 2019.

All application must be made through the ITT vacancies page

PhD Scholarship Opportunity – BioEngineering / Engineering

The IMaR Research Centre at IT Tralee are recruiting for a PhD. position with full scholarship (full fees and an attractive stipend of €18,000 per annum) in the following area; 1 X Clinical Engineering / BioEngineering, specifically analysis and optimisation of the Total Hip Arthoplasty process. This research is funded by Science Foundation Ireland through Lero: The Irish Software Research Centre, in collaboration with the Bon Secours Hospital Group. The closing date for applications for these positions is Friday July 13th 2018. PhD Position [4 Years]: 1 X Clinical Engineering / Bioengineering The ideal candidate with have a Level 8 (Degree (Hons)) in a Clinical, Mechanical or Electronic Engineering or Physics (or a similar disciple), with an understanding of Biomechanical (or similar) systems and/or signal processing techniques. This project intends to investigate and develop a suitable method to objectively detect the correct reaming and seating of a hip joint in-vivo to ensure optimum results for a Total Hip Arthoplasty and minimise the patient’s hospital stay and avoid re-admittance due to problems arising from joint seating. Going forward, advancements in robotic technology will allow many surgical procedures to be undertaken by autonomous systems. A vital component of such a system for THA will be the correct detection of the correct interference fit between the reaming chisel / artificial joint and the out bone. This research project will seek to 1) establish whether audio (vibrational) resonances can be used as a guide to improve outcomes in hip replacement surgery, and 2) to develop the optimum means of analyzing such resonances to determine the moment of optimum seating of the new hip joint. Please submit CV or any questions to Daniel.Riordan@staff.ittralee.ie

PhD. Opportunities in IMaR

The IMaR Research Centre at IT Tralee are recruiting for 3 PhD. positions with full scholarship (full fees and an attractive stipend of €18,000 per annum) in the following areas; 3 X Mechanical / Electronic / Software Engineering, specifically autonomous industrial systems. 1 X Clinical Engineering / BioEngineering, specifically analysis and optimisation of the Total Hip Arthoplasty process. This research is funded by Science Foundation Ireland through Lero: The Irish Software Research Centre, in collaboration with the Bon Secours Hospital Group and Liebherr Container Cranes Ltd. The closing date for applications for these positions is Friday June 1st 2018.

Autonomous Systems, Data Analytics and Machine Learning

PhD Position [4 Years]: 3 X Mechanical / Electronic Engineering The ideal candidate with have a Level 8 (Degree (Hons)) in Mechanical or Electronic Engineering or Software Development or Computer Science or Applied Physics (or a similar disciple). This project will investigate the development of autonomous systems that can monitor the surroundings of a machine to provide the reactive / preventative control actions, normally provided by the driver and will review the internal and external data available to an autonomous mobile robotic system, and undertake data analytics and apply machine learning techniques to check for correlations. The project will also involve the development of systems to support remote driving, such as vehicle tracking systems and video distribution systems for detection. Please submit CV or any questions to Joseph.Walsh@staff.ittralee.ie

Investigation of Bone Resonance as an Indicator of correct Seating during Hip Replacement Surgery

PhD Position [4 Years]: 1 X Clinical Engineering / Bioengineering The ideal candidate with have a Level 8 (Degree (Hons)) in a Clinical, Mechanical or Electronic Engineering or Physics (or a similar disciple), with an understanding of Biomechanical (or similar) systems and/or signal processing techniques. This project intends to investigate and develop a suitable method to objectively detect the correct reaming and seating of a hip joint in-vivo to ensure optimum results for a Total Hip Arthoplasty and minimise the patient’s hospital stay and avoid re-admittance due to problems arising from joint seating. Going forward, advancements in robotic technology will allow many surgical procedures to be undertaken by autonomous systems. A vital component of such a system for THA will be the correct detection of the correct interference fit between the reaming chisel / artificial joint and the out bone. This research project will seek to 1) establish whether audio (vibrational) resonances can be used as a guide to improve outcomes in hip replacement surgery, and 2) to develop the optimum means of analyzing such resonances to determine the moment of optimum seating of the new hip joint. Please submit CV or any questions to Daniel.Riordan@staff.ittralee.ie