{"job":{"jobId":1381894,"fk_accountId":null,"fk_organizationId":507,"fk_adminAccountId":null,"title":"Research Fellow, Machine Learning Safety","description":"\n\n<p><strong>NTU Main Campus, Singapore </strong></p>\n\n\n<p>School of Computer Science and Engineering invites applications for the position of Research Fellow.</p>\n\n\n<p>In this research project, the research team will explore the problem of achieving safety assurance for learning enabled components in safety-critical cyber-physical systems. A classic example is the object detection and classification component in an autonomous vehicle.</p>\n\n\n<p><strong>In this project, the research team specifically focus on two research problems in this area:</strong></p>\n\n\n<ul>\n<li>Detecting out-of-distribution images efficiently at runtime so that appropriate fail-safe operations can be performed when images outside of the training space are encountered</li>\n<li>Probabilistic formal verification of learning enabled components using scenario optimization so that a high performance and high assurance safety controller can be designed</li>\n</ul>\n\n\n<p><b>Key Responsibilities: </b></p>\n\n\n<ul>\n<li>Conduct research on high assurance techniques for efficient runtime detection of out-of-distribution images in vision based applications for CPS (training space characterization)</li>\n<li>Collaborate with and manage a team of PhD students and research assistants, including support for implementation activities related to the simulation platform and embedded test-bed</li>\n<li>Lead activities to produce research manuscripts</li>\n<li>Provide support in other project management activities such as procurement and reporting</li>\n<li>Work with a globally renowned research team in cyber-physical systems (<a data-mz=\"\" href=\"https://cps-research-group.github.io/\" rel=\"no-follow\" target=\"_blank\">https://cps-research-group.github.io/</a>)</li>\n</ul>\n\n\n<p><b>Job Requirements: </b></p>\n\n\n<ul>\n<li>PhD in Computer Science, Computer Engineering or related fields</li>\n<li>Research background and experience in the application of mathematical, particularly probabilistic, analysis techniques for reasoning about safety assurance in CPS</li>\n<li>Good research publications records</li>\n<li>Research experience in runtime techniques for detection of out-of-distribution images in vision based applications for CPS and familiarity with programming in C and Python will be an plus</li>\n</ul>\n\n\n<p>We regret that only shortlisted candidates will be notified.</p>\n\n\n<p><strong>Hiring Institution:</strong> NTU</p>\n\n\n","pdfUrl1":null,"location":"Singapore","location1":"아시아","location2":null,"location3":null,"type":"2","applyUrl":"https://ntu.wd3.myworkdayjobs.com/en-US/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Machine-Learning-Safety-_R00001987-1","fileUrl1":null,"fileUrl2":null,"fileUrl3":null,"fileUrl4":null,"fileUrl5":null,"fileUrl6":null,"fileUrl7":null,"workingHour":"Full Time","contractType":"Permanent","salary":null,"original_id":"UNI|229287","original_domain":"https://www.timeshighereducation.com/unijobs","original_url":"https://www.timeshighereducation.com/unijobs/listing/229287/research-fellow-machine-learning-safety/?LinkSource=PremiumListing","original_isPremium":"true","closeType":2,"closedAt":null,"requireEducation":0,"managerTel":null,"managerFax":null,"managerEmail":null,"managerName":"NANYANG TECHNOLOGICAL UNIVERSITY","managerPhone":null,"managerAddress":null,"log_hit":7,"log_like":0,"publishState":1,"organizationName":null,"organizationName_en":null,"organizationName_alt":null,"createdAt":"2020-10-13T00:00:00.000Z","updatedAt":"2020-10-13T20:25:04.000Z"},"organization":{"organizationId":507,"lv1Id":null,"lv2Id":null,"name":"Nanyang Technological University, Singapore","name_en":"Technological University","name_alt":",Nanyang Technological University,NANYANG TECHNOLOGICAL UNIVERSITY,","introduction":"<p>A research-intensive public university, NTU Singapore has 33,000 undergraduate and postgraduate students in the colleges of Engineering, Business, Science, and Humanities, Arts and Social Sciences, and at its Lee Kong Chian School of Medicine which was established jointly with Imperial College London.</p><p> </p><p>Named the world’s fastest-rising young university by Times Higher Education, Nanyang Technological University (NTU Singapore) is also one of the youngest in the global league of universities.</p><p> </p><p>Its 200-hectare (500 acres) garden campus has frequently been named among the Top 15 most beautiful in the world. An environmentally sustainable campus, 95 per cent of its buildings are Green Mark Platinum-certified (equivalent to LEED-Platinum certification in the USA).</p><p>Beyond its picturesque buildings and lush greenery, NTU has a vision to transform its vast grounds into a Smart Campus that embraces digital technology to support learning and discovery, and improve the sustainability of resources.</p><p> </p><p>The NTU Smart Campus is already a living testbed for various sustainable and energy-efficient technologies. NTU strives to serve as a model for other communities in Singapore and around the globe by demonstrating how advanced tech-enabled solutions can help improve everyday life in a sustainable manner.</p><p> </p><p>For example, on the NTU Smart Campus, it already has a number of partnerships with leading players such as BMW, Volvo Bus, Blue Solutions and SMRT to drive the future of smart transportation, developing solutions for both electric and autonomous vehicles.</p><p> </p><p>Interdisciplinary in focus, NTU’s high-impact research includes areas of global concern, such as artificial intelligence, robotics, sustainability, healthcare, new media and future learning. It hosts two national research centres of excellence, the Singapore Centre on Environmental Life Sciences Engineering (SCELSE) and Earth Observatory of Singapore (EOS), tackling important questions in environment and medicine.</p><p> </p><p>NTU is also home to world-class institutes. The National Institute of Education trains all teachers in Singapore, which is known for having one of the most successful education systems in the world. Other key institutes are the Nanyang Environment & Water Research Institute, and the Energy Research Institute @ NTU.</p>","logoImg":"","logoImgSquare":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/sdujfsjlkrfs_1035409752294.png","homepageUrl":"https://www.ntu.edu.sg","infoUrl":"https://www.timeshighereducation.com/world-university-rankings/nanyang-technological-university-singapore","country":"SG","state":"Singapore","location":"아시아","address":"50 Nanyang Avenue, 639798, Singapore","phoneNumber":"+65 6791 1744","faxNumber":"","type":1,"univType1":"대학","univType2":"대학교","univType3":"공립","univType4":"본교","establishedAt":"1991-01-05T00:00:00.000Z","count_majors":null,"count_students":null,"meta_competitiveness":"","publishState":1,"updatedAt":"2020-03-18T16:16:59.000Z","createdAt":"2020-03-04T20:13:07.000Z","default_1_bannerImage":null,"default_1_bannerImageMobile":null,"default_2_bannerImage":null,"default_2_bannerImageMobile":null,"default_3_bannerImage":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/NANYANGtechnology_147034590338.jpg","default_3_bannerImageMobile":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/NANYANGtechnology_142258133927.jpg"}}