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|Post Title:||Corporate Learning and Development Expert|
|Post Status:||Specific purpose contract|
|Department/Faculty:||The Learnovate Centre,|
Hosted by the School of Computer Science and Statistics,
Trinity College Dublin, the University of Dublin
|Location:||Unit 28 Trinity Technology and Enterprise Centre,
Pearse Street, Dublin 2, Ireland
|Reports to:||Centre Director|
|Salary:||Appointment will be made in line with IUA scales at a point in line with Government Pay Policy|
|Hours of Work:||37 Hours per Week|
|Closing Date:||19th November noon. Interviews will take place week of 26th November.|
Candidates are invited to apply for the position of Corporate Learning & Development (L&D) Expert in the Learnovate Centre, based in Trinity College, Dublin.
This is an applied research role, where you will apply the knowledge and insights you have gained in strategic learning design implementation for corporate organisations to expand the research of Learnovate for the benefit of our membership. You will provide thought leadership across all aspects of L&D in our applied research projects. This fast paced role will provide an established senior L&D professional the opportunity to work as part of our learning sciences research team, working with our members to explore and assess existing and emerging technologies in learning.
This is a highly collaborative role, working in a multi-disciplinary team in a dynamic environment. You will expand your own knowledge of L&D with our multidisciplinary team of experts in UI/UX, learning sciences, computer science and innovation.
This is the role for you if you are passionate about applying best practice research to benefit our membership with tangible outcomes.
Standard Duties and Responsibilities of the Post
Funding Information: This position is funded through Enterprise Ireland’s Learnovate Technology Centre initiative. Funding is until Feb 2022
Candidates appointed to this post should have a relevant Ph.D. in the area of Learning Science
Equivalent industry experience with a Masters Level Qualification in the field
Knowledge & Experience:
Required Skills and Competencies:
APPLICATION DEADLINE AND DETAILS:
Apply with CV and Cover letter to: firstname.lastname@example.org
Closing Date: 19th November noon. Interviews will take place week of 26th November.
Please note: Candidates who do not address the application requirements above in their cover letter will not be considered at the shortlist stage.
Candidates should note that the interview process for this appointment may include the delivery of a presentation and may include a test of practical skills.
The Learnovate Centre
Hosted by Trinity College Dublin’s School of Computer Science and Statistics and funded by Enterprise Ireland, Learnovate’s mission is to enhance the competitive advantage of Ireland’s learning technology industry, and more broadly, to maximise the success any company can derive from using learning technology effectively.
Learnovate currently has over 60 industry members that range across sectors and sizes from start-ups to growth phase companies to large corporates and multi-nationals. These members can be divided into supply side companies that are focused on producing learning technologies and demand side companies that are focused on deploying learning technologies.
The Centre’s multidisciplinary team works with industry partners to deliver strategic research and innovative learning technologies in areas such as mobile and collaborative learning, social and informal learning, immersive learning, and metrics and assessment.
Industry can engage with the Centre through a membership model or by contracting Learnovate directly to provide research and innovation services. These services can, in turn, be supported by (state-supported) grant funding vehicles such as innovation vouchers and innovation partnerships.
School of Computer Science and Statistics at Trinity College Dublin
The School of Computer Science and Statistics at Trinity College Dublin offers a high quality educational experience to undergraduate and postgraduate students along with exceptional research opportunities for professionals in the fields of computer science and statistics. The School is proud of its reputation as an innovative and energetic centre for study and research.
The research interests of the School are wide and varied, ranging from the theoretical to the practical. The School’s researchers are at the cutting-edge of their disciplines, working on prestigious research projects with other professionals in their fields, and with access to significant public and private funding and industry support.