Post Doctoral Research Assistant

The position and requirements

We are seeking talented and enthusiastic candidates with a PhD to join the EU-funded PRESERVE project, under the direction of the Principal Investigator, Prof Hamid Bouchachia, working towards the development of machine learning and data mining, and AI methods with application in Computer Vision (video and image processing), Speech Recognition (audio) and Natural Language Processing (text). The position will be suitable for any profile in computer science, engineering, mathematics, statistics or from other science disciplines with knowledge in machine learning and AI (specifically foundation models, deep learning architectures, federated learning, data fusion) and essential knowledge about ML frameworks and pipelines as well as computer systems.

The successful candidate will need to be knowledgeable in one of the listed areas and will investigate and develop scalable and privacy-guaranteed novelty detection, clustering and classification. The focus is mostly on foundation models that involve multiple modalities of data (text, video, audio, image), where transferability and robustness of such foundation models are key questions. Other elements of foundation models such as transparency and reasoning are also of relevance too. However, the exact boundary of the research work for this position will be limited to one of the listed aspects based on the background of the candidate in a way for them to contribute to the delivery of the project by conducting relevant research that leads to publishable outputs.

The researcher will have access to funding for international travel, e.g., for attending conferences, attending the consortium meetings, and research dissemination, while working in a supportive, collaborative, inclusive and non-discriminating working environment. We welcome candidates from all backgrounds to apply.