Joining Learnovate means becoming part of a team that values curiosity, integrity, collaboration and impact. We believe in the power of working together and care about the work we do transforming the lives of learners. If this sounds like you, we have exciting opportunities tackling challenging problems and helping shape the future of learning.

Check out our job opening below and get started on the next step of your career.

Post Status:	Post Status: Fixed Term Contract – 16 months
Research Group / Department / School:	Learnovate Technology Centre, Trinity College Dublin, the University of Dublin
Location:	Unit 28, TTEC, Grand Canal Quay, Dublin 2, D02 N638, Ireland
Reports to:	Principle Investigator
Salary:	Appointment will be made on Irish Universities Association scale at a point in line with Government Pay Policy appointment will be made at the Post Doc 2 scale (between €52,715-€57,332)
Hours of Work:	9am – 5pm, blended working
Closing Date:	Noon (Irish Standard Time), Jan 13th 2025

 

The Cliste project intends to develop systems that leverage evidence-based research to help teachers create assessments at targeted difficulty levels, delivering individualised feedback to students, generating insights to inform practice, improving learning outcomes and reducing division between students who can afford outside help and those who can’t.

The project is funded through Enterprise Ireland’s Commercialisation Fund and will develop, test and refine a commercially viable solution. The intention is to create a startup company at the end of the project to bring the solution to market.

What we’re looking for

We are looking for a candidate with deep knowledge of natural language processing and machine learning who will demonstrate the requirements for the role as outlined below and must satisfy all of the essential criteria.

Standard duties and responsibilities of the post

• Reporting to the Principal Investigator, work as part of a multidisciplinary team of edtech innovators, technologists and user experience experts
• Work closely with the Technology Lead to develop and implement the Cliste technology
• Participate in research and development of a novel architecture for generative AI, synthesizing extant LLM outputs with human evaluations
• Participate in research and development necessary to producing language models
• Engage in peer-reviewed dissemination of research results
• Collaborate with developers constructing a cloud-based infrastructure to support the development, testing and deployment of Cliste

Funding information

Enterprise Ireland Commercialisation Fund

Person Specification

Qualifications

Completed PhD in computational linguistics

Knowledge & Experience

Essential

• Natural language generation
• Machine learning for text classification
• Excellence in research (i.e. literature review, synthesis, programming, data analysis, scholarly writing) without support of generative artificial intelligence
• Expertise in natural language syntax, semantics and stylistics

Desirable

• Demonstrable experience in peer-reviewed publication of research
• 2 or more year’s post-doctoral experience in research
• Software system component integrations
• Experience of working in an agile environment and adapt to change

Skills and competencies

Essential

• Demonstrable experience working as a researcher in Artificial Intelligence and Data Analysis
• Demonstrate a desire to work with a high degree of autonomy in a start-up type environment.
• Demonstrate a learning and growth-focused mindset and a strong desire to share your skills and learn from those around you
• Excellent communication and interpersonal skills
• Strong written and verbal English proficiency
• linux
• applying data analysis and AI to practical technology solutions
• Machine Learning, R, Python, NLP

Desirable

• version control tools such as git and Gitlab, Github, etc.
• built automation / continuous integration tools such as Github Actions, Jenkins
• containerization concepts and technologies such as Docker
• cloud computing environments such as AWS
• API development and testing tools such as Postman, Insomnia, Swagger, etc.
• Service oriented architecture
• RESTful APIs
• Unit and functional testing

How to apply

Applicants should submit the following:

• Cover Letter: why you are a good fit for this dynamic research/startup-style role
• Resume: Detailed curriculum vitae, including formal education, publications, experience and previous project work. Please address all skills that you have that match the required experience list above.
• Indicative start date for post Feb 1^st 2025
• In person interviews will take place on 20^th Jan 2025

Applications and queries should be sent to Lorna Maguire, Head of Operations. Email: lorna.maguire@learnovatecentre.org