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: Principal 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
Post Summary
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 & Desirable)
* 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
* Demonstrable experience in peer-reviewed publication of research
* 2 or more years post-doctoral experience in research
* Software system component integrations
* Experience of working in an agile environment and adapt to change
* 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
* Applying data analysis and AI to practical technology solutions
* 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.
Application Process
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 1st 2025
In-person interviews will take place on 20th Jan 2025.
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Unit 28
Trinity Technology & Enterprise Campus
Pearse Street
Dublin 2
D02 N638
Ireland.
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