Job offer in england Marie Curie Early Stage Researcher – Open University
Based in Milton Keynes
Temporary contract 36 Months preferred start by 1 October 2017
We seek an energetic post-graduate researcher, designated an Early Stage Researcher (ESR), with research interests at the interface between information access and retrieval and quantum mechanics (QM), to investigate theoretical issues and evaluate methods and prototypes for adaptive IAR systems managing large data collections and meeting the end user’s information needs in a dynamic context.
The appointment is part of the new 48 months EU H2020 Marie Skłodowska-Curie Actions (MSCA), Innovative Training Network (ITN) QUARTZ (contract N. 721321). QUARTZ has been established by: University of Padua (Co-ordinator), The Open University (UK), University of Bedfordshire (UK), Vrije Universiteit Brussel (Belgium), University of Copenhagen (Denmark), Brandenburg University of Technology (Germany), and Linne Universitetet (Sweden). QUARTZ is also supported by a wide range of industrial and organisational partners such as: Websays SL, Spain; Queensland University of Technology, Australia; Tianjin University, China; Greater Glasgow Health Board, UK; Berlin State Library, Germany. The partners will provide complementary expertise, use cases, test beds and training activities. Further partners might join the consortium in the future.
This particular ESR project at The Open University aims at designing, implementing and evaluating quantum-like multimodal IAR methods based on abstract feature spaces adaptively learnt from multimodal data collections, user contexts and interactions. The major objectives are to investigate: (i) Adaptive multimodal feature learning techniques, e.g., based on deep learning (DL), to fuse multimodal features by incorporating their dependencies; (ii) A QM based adaptive ranking scheme in the multimodal feature space; (iii) Applications and evaluations of the adaptive multimodal feature learning model and the QM-based ranking function in selected multimodal IAR processes, for example, exploratory search over multimodal social media (e.g., text, images, videos) and software (e.g., bug reports, code, requirement documents) repositories.
You will be one of 13 ESRs and will be expected to spend part (8 months) of their time in partner laboratories in training and joint research projects. Simultaneously the ESR will be trained in the commercial and entrepreneurial skills necessary to bring such research from the laboratory to the commercial arena.
Eligible applicants for this Fellowship must be in possession of an excellent Master (by research) degree or first-class Honours degree, with strong expertise and experience in one or more of the following fields: information retrieval, machine learning, quantum physics or a related area. Peer-reviewed publications on respected journals and conferences in relevant areas are desirable. It is required that the degree has been acquired not more than 4 years earlier to the envisaged starting date of this appointment. This is measured from the date when they obtained the degree that would formally entitle them to embark on a doctorate, either in the country in which the degree was obtained or in the host country. Applicants should have good knowledge of English, as the successful candidate will be asked to submit project reports in English.
The appointment is made in the context of the regulations of Marie Curie Initial Training Networks and transnational mobility is a key element of eligibility. Researchers may be either EU citizens or from outside the EU (subject to relevant immigration formalities), but applications will only be accepted from candidates who have spent less than 12 months in the UK within the last three years from the start date of employment. Furthermore, candidates who will have already completed a PhD by the start date of employment are not eligible. The successful ESR will be offered the opportunity to register for a PhD at the Open University to run concurrently with the ESR post.
For detailed information and how to apply please click the apply button below.
Informal enquiries can also be made to Professor Dawei Song (firstname.lastname@example.org)
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