Deadline: This submission webpage will be closed as soon as all the positions are filled.
The SCAI – Swiss Center for Augmented Intelligence is a national competence center for the development and implementation of augmented intelligence. This center is an initiative of the Swiss Capital Region and focuses on three strategic priorities: an interdisciplinary scientific center of excellence, an independent national reference institution for augmented intelligence and an “Innovation & Partnership” pole for the joint development of projects with companies and the public sector.
In the context of this interdisciplinary project, we are looking for a postdoctoral researcher in the field of natural language processing for a shared position among the University of Bern (Unibe) and the Bern University of Applied Sciences (BFH), starting in early 2024 or as soon as possible. The contract will be 50% with BFH and 50% with Unibe, and have an initial duration of 18 months, with a potential option for a 2 years extension afterwards.
In this position you can expect the following benefits:
We are looking for a highly motivated team-player with good communication skills to engage in an interdisciplinary team, having expertise in deep learning/machine learning, NLP including language models and a strong publication record in these areas. The candidate has very good English skills and a strong interest in the social impact of technologies.
Your tasks will involve the design and execution of novel research projects, writing scientific papers and grant proposals, the participation in the organisation of the different events planned in the context of SCAI (e.g., workshops, public conferences, etc.), and the communication/dissemination of research results for both the scientific community (top-tier journals and conferences) and public media. In the context of SCAI, postdoctoral researchers from the different partner Universities will collaborate closely and have periodical meetings to synchronize their work.
Applications must include the following documents (file size limit of 3MB):