Career Opportunities at Queen's

Job details Job details Job reference 19/107477 Date posted 13/05/2019 Application closing date 11/06/2019 Salary £33,199 - £35,210 per annum Job category/type Research Attachments Blank Research Fellow - Machine Learning & Visual Data Job description This research project aims at utilizing existing large-scale RGB domain data to reduce the requirements of IR-domain data (or the other domain data) for general object classification and detection by means of deep domain adaptation technique. This position provides a unique opportunity to address the problem of domain adaptation and apply to real-world scenarios. The project is hosted by the Centre for Data Science and Scalable Computing (DSSC) in the Institute of Electronics, Communications and Information Technology (ECIT), at Queen's University Belfast, UK and collaborating with Defence Science and Technology Agency (DSTA), Singapore. With the enormous amount of advancement made by the deeper and broader blending of deep learning methods into computer vision applications, the need of large-scale labelled dataset becomes a significant obstacle every time when a new task is raised. Domain adaptation is a branch in transfer learning where a model that is trained in a source domain is adapted to another target domain. Usually, the source domain is with labelled data while no or limited labelled data are available in the target domain. Candidate Information About the Centre Information for International Applicants Note to EEA Applicants on Brexit Job title Research Fellow - Machine Learning & Visual Data Job reference 19/107477 Date posted 13/05/2019 Application closing date 11/06/2019 Salary £33,199 - £35,210 per annum Job category/type Research Attachments Blank Job description This research project aims at utilizing existing large-scale RGB domain data to reduce the requirements of IR-domain data (or the other domain data) for general object classification and detection by means of deep domain adaptation technique. This position provides a unique opportunity to address the problem of domain adaptation and apply to real-world scenarios. The project is hosted by the Centre for Data Science and Scalable Computing (DSSC) in the Institute of Electronics, Communications and Information Technology (ECIT), at Queen's University Belfast, UK and collaborating with Defence Science and Technology Agency (DSTA), Singapore. With the enormous amount of advancement made by the deeper and broader blending of deep learning methods into computer vision applications, the need of large-scale labelled dataset becomes a significant obstacle every time when a new task is raised. Domain adaptation is a branch in transfer learning where a model that is trained in a source domain is adapted to another target domain. Usually, the source domain is with labelled data while no or limited labelled data are available in the target domain. Candidate Information About the Centre Information for International Applicants Note to EEA Applicants on Brexit