The Opportunity
You will play a vital role in advancing next-generation intelligent systems within the School of Computer Science and Informatics. Working closely with the Principal Investigator and academic collaborators, you will contribute to cutting-edge research in artificial intelligence, multimodal learning, and machine translation.
The role involves developing and fine-tuning large-scale language models, designing lightweight and adaptive translation frameworks, and deploying AI solutions in real-world settings.
This is an exciting opportunity to work at the forefront of AI research, translating theoretical advances into practical, impactful technologies that bridge linguistic and modal boundaries.
About You
We’re seeking a motivated and highly capable researcher with a strong background in AI, multimodal learning, and machine translation.
You will be enthusiastic about tackling complex research challenges and comfortable working both independently and as part of a multidisciplinary team.
You will have:
* Proven experience with deep learning–based projects, particularly in machine translation or large language models
* Excellent coding skills, ideally in Python and/or C++
* A relevant qualification in computer science or a closely related discipline
* Strong organisational skills, with excellent time management and a proactive, detail-oriented approach to your work
You will also demonstrate creativity in problem solving, strong communication skills, and the ability to prioritise tasks to meet project deadlines.
About Us
At the University of Liverpool, we are committed to delivering world-leading research and education that has real global impact. The School of Computer Science and Informatics provides a vibrant, collaborative research environment, bringing together expertise across artificial intelligence, data science, and engineering disciplines. We value diversity, inclusion, and professional development, and we support our staff to grow their careers while contributing to innovative research that addresses real-world challenges.
The role will be based in the School of Computer Science and Informatics, working closely with Dr. Anh Nguyen, Dr. Baoru Huang, and Prof. Danushka Bollegala.
#J-18808-Ljbffr