Assistant Professor in Natural Language Processing Job description Within both our research and education, we see an increasing role within many of the scientific subjects and disciplines for natural language processing (NLP) technology in our two Computer Science departments at Delft University of Technology: Software Technology (ST) and Intelligent Systems (INSY). Therefore, we like to extend our current staff and research & teaching activities with two new colleagues working on natural language processing. The two new assistant professors will be expected to have their own research lines that can be well embedded into the larger research landscape of our current computer science research areas, where they are expected to join our current forces to together develop both the discipline and usable systems for human interaction with natural language. Department of Intelligent Systems (INSY) One assistant professor will be working within the INSY department. The INSY department aims to enable man and machine to deal with the increasing volume and complexity of data, in close cooperation with their environment. The department integrates fundamental research, engineering, and design in the interlocking fields of data processing, interpretation, visualization and interaction using model- and knowledge-based methods and algorithms. INSY consists of five research groups (more details can be found here). The new colleague will be working within the Multimedia Computing Group, but collaborations with other groups are envisaged and encouraged. At INSY we are looking for an assistant professor who can strengthen our team and research on the general topic of NLP for human-compatible natural language systems, particularly on the topics of Ideally, you will combine methods from AI and linguistics, with skills, competences and interests that would enable building a strong NLP research line within Computer Science. Department of Software Technology (ST) Research of the ST department contributes both to the foundations of software and computer systems, and to the understanding of the operation of such systems. Its research approach is both fundamental - designing algorithms and abstractions, developing new concepts and theories, and identifying principles, as well as experimental - engineering and analysing the behaviour of actual systems. We are looking for, but not exclusively, candidates with research profiles relevant to the roles of knowledge and humans in natural language processing. In particular, we are interested in candidates who can strengthen our team and research on the following topics: Requirements The successful assistant professor candidates should have: and ideally should have: Conditions of employment Inspiring, excellent education is our central aim. We expect you to obtain a University Teaching Qualification (UTQ) within three years if you have less than five years of teaching experience. This is provided by the TU Delft UTQ programme. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school. TU Delft (Delft University of Technology) Challenge. Change. Impact! Faculty Electrical Engineering, Mathematics and Computer Science Visit the website of the Faculty of Electrical Engineering, Mathematics and Computer Science: www.tudelft.nl/en/eemcs/the-faculty. The Multimedia Computing Group (MMC) at the INSY department covers a broad palette of research directions in the domains of multimodal analysis and processing, network data computing and multimedia information systems. In particular, the MMC group is an internationally leading group regarding the new methodological and algorithmic concepts for analyzing, interpreting, enriching, modeling, searching and recommending image, video, music and speech data available in stand-alone collections or connected in (complex) networked data structures. We follow a user-centered research approach. Consequently, our activities benefit from a strong influx of expertise from the domain of human factors. The Web Information Systems (WIS) at the ST department group concentrates its research on engineering and science of the Web, considering specifically the role of human-generated data in the engineering of Web-based information systems. The WIS group is an internationally leading research group with researchers and students advancing the state of the art in the following disciplines: large-scale data processing, information and knowledge extraction, information retrieval, human computation and crowdsourcing, human-computer interaction, and user modeling. Additional information For more information about this vacancy, please contact Dr. Scharenborg (o.e.scharenborg@tudelft.nl) for the position in INSY and Prof. Houben (g.j.p.m.houben@tudelft.nl) for the position in ST. Application procedure Are you interested in this vacancy? Please apply before August 12 2022, via the application form on our website and upload the following: • An application letter that also includes which department has your preference. Formal interviews will be scheduled in the first half of September. Agency calls are not appreciated.
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