Research Fellow in Machine Learning, Natural Language Processing and Speech Processing https://jobs.soton.ac.uk/Vacancy.aspx?id=24889&forced=2 *Closing Date: Friday 02 April 2021* The role is part of the UKRI Trustworthy Autonomous Systems Hub (TAS Hub). The Hub is led by the University of Southampton with partners from the University of Nottingham and King’s College London. TAS Hub is the focal point of the £33m UKRI Trustworthy Autonomous Systems programme (for more details see www.tas.ac.uk<http://www.tas.ac.uk/>) You will undertake independent research as well as working as part of a team - this will include using approaches or methodologies and techniques appropriate to the type of research, and being responsible for writing up your work in order to contribute to published outcomes. There will be the opportunity to use creativity to identify areas for research, develop research methods and extend your research portfolio. As the research will need to generalise across more than one application domain (e.g., healthcare, autonomous vehicles, IoT, etc..) this offers the opportunity to collaborate with partners from across the TAS Hub and the wider TAS programme (i.e., the 60+ TAS hub industrial partners and the TAS Nodes). To take advantage of these opportunities you will have a PhD or equivalent professional qualifications and experience in one of the following areas:- Machine Learning, Natural Language processing, and Speech Processing. As work will need to be carried out in a multi-disciplinary setting involving experts and researchers from fields such as healthcare, law, engineering, business, and policy - it is important that you are able to communicate research outputs in a way that is understandable and useful to researchers from diverse disciplines. The candidates will have experience in Machine Learning (with applications to computer vision, speech or signal processing), Reinforcement Learning, and Natural Language Processing to develop and evaluate a range of autonomous systems for challenging real-world applications. Experience in evaluative methods such as user studies and surveys, and a demonstrable interest in autonomous systems would be a welcome addition. A strong track record of good publications at international venues (IJCAI, AIJ, JAIR, ICML, ICLR, AAMAS, NeurIPS) is desirable. Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We particularly encourage women, Black, Asian and minority ethnic (BAME), LGBT and disabled applicants to apply for this position. We are committed to improving equality for women in science and have been successful in achieving an Athena SWAN bronze award in April 2020. We give full consideration to applicants that wish to work flexibly including part-time and due consideration will be given to applicants who have taken a career break. The University has a generous maternity policy*, onsite childcare facilities The post is full time fixed term for up to 2 years. The post is due to start in June or July 2021 Applications for Research Fellow positions will be considered from candidates who are within six months of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given. Application Procedure You should submit your completed online application form at https://jobs.soton.ac.uk<https://jobs.soton.ac.uk/>. The application deadline will be midnight on the closing date stated above. If you need any assistance, please contact Annabelle Trimm (Recruitment Team) on 02380 592750 or at Recruitment@soton.ac.uk<mailto:Recruitment@soton.ac.uk>. Please quote reference 1346821FP on all correspondence. ----------------------------------------------------------------------------------------------- Helen Hastie, Professor of Computer Science, Heriot-Watt University @hfhastie Director, EPSRC CDT in Robotics & Autonomous Systems @EDINrobotics Academic Lead, National Robotarium @NRobotarium UKRI Trustworthy Autonomous Systems Node on Trust @tas_trust ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. 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