Opportunity ā€“ Research Assistant – Software: Virtual/Augment Reality Developer

IMaR is currently recruiting for a research assistant in software development with skills in games development, multimedia programming or design or who will take on an exciting role in the development and use of virtual and augmented reality for online customer and consumer interaction.
 
The successful candidate will collaboratively work and contribute to a cutting edge research project in the Retail domain.

View job Specification

All applications to be made on-line.

Closing date for receipt of completed applications is 12.00 noon on 22nd July 2020.

For details see the ITT vacancies page

Postdoc Researcher: Computer Science, Artificial Intelligence & Data Analytics

IMaR is currently recruiting for a postdoctoral researcher who will lead a small team in an industrial Internet of Things project around sensor deployment, data analytics and AI on industrial manufacturing machinery. This wide-ranging role, working in collaboration with a major multi-national industrial partner, will give the successful candidate exposure to varied engineering disciplines and experience. The project is funded by SFI Confirm: Smart Manufacturing Research Centre.

The successful candidate will also provide strategic and technical input to the project team.

Applications Close July 22nd 2020

More informationĀ here

Apply through ITTralee HR Portal

Masters of Engineering Scholarship Available

IMaR is currently offering a Masters Scholarship to a suitable candidate who will investigate an industrial Internet of Things project around sensor deployment, data analytics and AI on industrial machinery. The project is funded by SFI Confirm: Smart Manufacturing Research Centre in collaboration with a major multinational industrial partner.

This project will focus of the development of sensing and data analytics to enable Predictive Maintenance (PdM) in legacy industrial machines, focusing on the use of artificial intelligence (AI) techniques which can allow for the rapid re-training of analytic algorithms to account for machine variability.

Applicants are required to have a minimum qualification of an Honours Degree (2.1 or better) in Computer Science, Engineering, Applied Physics, or equivalent. Familiarity with Python, R or a similar language is desirable.

This 2 year Masters scholarship will cover all postgraduate student fees and provide a monthly stipend to cover living expenses. A budget for equipment, material and travel will also be provided.

Further information available here

Any questions should be sent to Dr. Daniel Riordan: daniel.riordan@staff.ittralee.ie

To apply send a detailed CV by email to daniel.riordan@staff.ittralee.ie