Research Assistant B

3 weeks ago


Dublin, Ireland Technological University DublinTU Dublin Full time

Applications invited for the following Post in the Technological University Dublin Post: Research Assistant B (Mixed Reality Developer) (School of Media) (Fixed-Term for up to 3 years with funding in place for 1 year) Reference: 465/2025 Location: The post will be based at one of the TU Dublin Campuses i.e. Aungier Street, Bolton Street, Grangegorman, Blanchardstown or Tallaght. Regular attendance at other sites will be required. Hours of Work:A 37 hour working week is in operation. Salary: The successful candidate will be appointed aligned to point (01) of the Research Assistant B Salary Scales for pay purposes only i.e. €37,225 gross per annum. Remuneration may be adjusted from time to time in line with Government pay policy. Incremental credit may apply in line with University policy. Closing Date: 5:00pm on 17th November 2025. Late applications will not be accepted. It is anticipated that interviews for this post will take place in week beginning 8th December 2025. The interview assessment will be 45minutes in length and will include a presentation of 8minutes duration. The topic of this presentation will be as follows: Developing Mixed Reality Educational Applications for Engineering or Manufacturing Environments Application Details/Procedures: For further information and to make an online application for the above post please visit website visit Technological University Dublin is an equal opportunities employer Person Specification TU Dublin is committed to being fully inclusive, which actively recruits, supports and retains staff from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the community they represent. We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices. During the recruitment and section process, candidates will be expected to demonstrate an appropriate mix of knowledge, experience and skills described below. For shortlisting purposes, candidates will be expected to demonstrate the degree to which they meet both the essential and desirable criteria set out below. Theidealcandidatewilldemonstratetheappropriatemixofknowledge,experience,skills,talent and abilities required for the role as outlined below and must satisfy all of the essential criteria: Essential 1.Primary degree in Computer Science, Interactive Media, Game Development, Engineering, or a closely related discipline(or equivalent professional experience). 2.Proven experience developing Mixed Reality (MR) applications using Unity and C#, demonstrating a solid understanding of spatial interaction, scene management, and headset deployment (e.g., Meta Quest, HoloLens). 3.Strong 3D modelling and design skills, including the ability to create, adapt, and optimize assets in Blender, Maya, or 3ds Max for use in real-time environments. 4.Experience working with educators to implement pedagogical principles and existing educational methods into mixed reality applications and environments. 5.Experience developing multi-user or networked MR/VR applications, including implementation of real-time synchronization, user sessions, and interaction sharing (e.g., using Photon, Normcore, or Unity Netcode). 6.Demonstrated ability to integrate 3D assets, animation, and interaction logic into performant and immersive mixed reality experiences. 7.Proficiency with version control systems (e.g., Git, GitHub, or GitLab) and collaborative workflows. 8.Strong debugging and performance optimization skills in Unity-based MR projects. 9.Excellent communication, teamwork, and documentation abilities, with the flexibility to work independently and collaboratively in a hybrid research environment. Candidates will be shortlisted based on their demonstration of meeting every essential criterion so are asked to clearly outline how their experience and qualifications meet the criteria. Desirable Experience developing for specific MR platforms such as Meta Quest (using OpenXR), HoloLens 2 (using MRTK), or Magic Leap. Familiarity with cloud-based networking and backend integration for user management, data persistence, or analytics (e.g., Firebase, PlayFab, or custom REST APIs). Understanding of synchronization and state management in distributed multi-user MR environments. Knowledge of real-time collaboration frameworks or educational multi-user systems (e.g., Mirror, Photon Fusion, Normcore). Experience applying pedagogical principles or learning design frameworks in the development of educational or training applications. Demonstrated ability to conduct usability testing, data collection, and analysis in XR-based learning environments. Familiarity with physics simulation, robotics visualization, or digital twin concepts relevant to mechanical or engineering training. Evidence of research engagement, such as contributions to papers, posters, or conference presentations in XR, engineering education, or human-computer interaction. Candidates may be shortlisted on the basis of none, one or more of these desirable criteria and are asked to clearly outline how their experience and qualifications meet the criteria. Skills: Research Teamwork



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