The candidate will participate in the IKER-GAITU project whose objective is the development of language technologies, resources and tools for Basque. The results of the project will place Basque language in a position to allow the use of AI applications also in that language.
The specific objective of this position is to develop a bilingual Automatic Speech Recognizer for Basque and Spanish in the context of spontaneous speech. The main challenge is to overcome some of the problems found in spontaneous speech at a bilingual environment: rapid change of language (code-switching). The candidate will have to train and evaluate different strategies which can be followed to cope with bilingual code-switching. He or she will also have to prepare the suitable databases. Finally, the candidate will apply the developed systems to the specific task of transcribing speech from learners of Basque.
The candidate will perform the following tasks, among others:
The candidate should preferably have a BSc degree in computer science, telecommunications engineering, or physics, and a MSc in language technologies and/or machine learning. We are looking for individuals who are passionate about speech processing and have a strong background in computer science and related fields. The applicants must demonstrate excellent communication skills in English. Knowledge of Basque will be highly valued.
Our ideal candidate has experience in machine learning, deep learning, statistical analysis and speech processing, as well as a strong proficiency in programming languages such as Python. This position is also available for candidates with a PhD.
We welcome applicants from all backgrounds and are committed to creating an inclusive and supportive workplace.
Duration of Contract:
2 and a half years
The estimated gross salary for year 2023 is 32312€.
Start date is flexible, with the choice of joining immediately.
Contact details for enquiries:
For questions and doubts please contact email@example.com.
Please include the job ID when contacting us.
To submit your application please follow this link.