Open Vacancy at CYENS Centre of Excellence

The PULSE research group is at the forefront of creating immersive and believable virtual environments.

The group primarily works on virtual human simulation, crowd behavior, which refers to how crowds move and interact, and on combining different inputs, such as voice, music, text, and motion capture, to create and edit simulations. These elements are then integrated into VR/AR/MR environments. The applications of this research span many potential uses, such as Video Games, Film and Virtual Production, Digital Twins, Architecture, XR performances, and training.

The successful candidate will become a member of an interdisciplinary team that will be working towards developing language technologies for Greek Cypriot.
The research work will involve collecting language data, training and testing large language models (LLMs) and/or Automatic Speech Recognition (ASR) systems, and integrating the derived models with relevant platforms and frameworks.

The successful candidates will have the opportunity to conduct fundamental and/or applied research in the aforementioned areas. Where applicable, candidates may also participate in the preparation of project reports and deliverables, research proposals for funding, software development, and travel abroad for dissemination activities. Furthermore, successful candidates will be encouraged to publish/present their research results in prestigious international conferences and journals.
The successful candidate will work under the supervision of Yiorgos Chrysanthou.

Responsibilities of Research Associate:
Pre-train and/or fine-tune LLMs.
Gather, organize and/or annotate, and securely store language data.
Frequently interact with stakeholders and collaborators through meetings, presentations, and/or reports.
Work with an interdisciplinary team, involving local linguists, computer scientists, and software developers.
Conduct relevant literature reviews on Natural Language Processing (NLP) and/or Spoken Language Processing (SPL) for under-resourced languages for future funding.