{"job":{"jobId":1332419,"fk_accountId":null,"fk_organizationId":491,"fk_adminAccountId":null,"title":"Research Fellow in Machine Learning for Cyber Security","description":"\n\n<p><strong>Work type: </strong>Fixed Term\n<strong>Location: </strong>Parkville\n<strong>Division/Faculty: </strong>Melbourne School of Engineering\n<strong>Department/School:</strong> School of Computing and Information Systems\n<strong>Salary:</strong> $73,669 - $99,964 (Level A)\n<strong>Role & Superannuation rate: </strong>Academic - Full time - 9.5% super</p>\n\n\n<ul>\n<li>Bring your expertise in Machine Learning and Cyber Security to an exciting, collaborative research project</li>\n<li>Join Australia’s top-ranked Computer Science School and grow your research career</li>\n<li>2.5 year fixed-term contract, located in our world-leading innovation precinct</li>\n</ul>\n\n\n<p><strong>The University of Melbourne</strong> is consistently ranked among the leading universities in the world, we are globally engaged; comprehensive; research-intensive; and committed to responding to the major challenges of our time.</p>\n\n\n<p><strong>The Melbourne School of Engineering (MSE)</strong> is strongly committed to supporting diversity and flexibility in the workplace. Improving the representation of women is necessary in our goal to innovate and to strengthen MSE’s reputation as a best-in-class centre of research.</p>\n\n\n<p><strong>About the School of Computing and Information Systems (CIS) </strong>We are international research leaders with a focus on delivering impact and making a real difference in three key areas: data and knowledge, platforms and systems, and people and organisations.</p>\n\n\n<p>At the School of Computing and Information Systems, you'll find curious people, big problems, and plenty of chances to create a real difference in the world.</p>\n\n\n<p><strong>The Opportunity</strong></p>\n\n\n<p>Melbourne School of Engineering is seeking an emerging academic with a strong record of research in Deep Learning to contribute to an exciting ARC project focussed on cyber security. Applicants with a demonstrated research track record in deep learning will be highly-regarded. The role joins a collaborative team including investigators from RMIT and Deakin University and will conduct independent and co-operative research. There may also be opportunities to undertake teaching and contribute to other departmental activities.</p>\n\n\n<p>The project is titled Learning the Focus of Attention to Detect Distributed Coordinated Attacks, the focus of this project is to devise a suite of novel attention mechanisms that can focus the search of machine learning techniques for cyber security. There are 3 key aims to the project:</p>\n\n\n<ul>\n<li>Develop methods that incorporate threat intelligence to provide a temporal focus of attention in the search for emerging network-based attacks;</li>\n<li>Devise algorithms for dynamically sharing evidence between different networks to provide a spatial focus of attention in the collaborative detection of large-scale distributed attacks;</li>\n<li>Develop a theory for embedding a focus of attention explicitly in deep representation learning for event clustering and correlation in security analytics.</li>\n</ul>\n\n\n<p>The role will be located in our world-leading digital and data science innovation precinct, <a data-mz=\"\" href=\"https://www.youtube.com/watch?v=g6EJRbhl0U4\" rel=\"no-follow\">Melbourne Connect</a> - working from home in the first instance.</p>\n\n\n<p><strong>About You</strong></p>\n\n\n<p>You will be passionate about your research area and motivated to produce high-quality outcomes for the project. You will bring an outstanding background in Machine Learning, especially in deep learning for graphs, and exposure to cyber-security. Your excellent interpersonal skills will enable to you to develop relationships with both internal and external partners.</p>\n\n\n<p><strong>You Will Have</strong></p>\n\n\n<ul>\n<li>A PhD in computer science or a relevant discipline; either completed or submitted;</li>\n<li>Demonstrated ability to perform independent research in machine learning and security analytics;</li>\n<li>Demonstrated expertise in the following areas will be highly regarded - deep representation learning and other deep learning methods, graph neural networks, anomaly detection and clustering (especially for graphs), attention-based neural networks;</li>\n</ul>\n\n\n<p><strong>What we offer you</strong></p>\n\n\n<p>We offer flexibility, whatever that may mean for you. Many of our benefit programs and onsite amenities are aimed at supporting you - including generous leave, child care subsidies, discounted parking, medical and health care. We offer extensive opportunities for personal and professional development, and we’ll support you in doing what you love.</p>\n\n\n<p>We seek to increase the diversity of our workforce and the representation of all members of our community that have been traditionally under-represented.</p>\n\n\n<p>If you’re curious, motivated and ready to undertake a meaningful and rewarding role we’re ready to meet you.</p>\n\n\n<p><strong>How to Apply</strong></p>\n\n\n<p>Apply online, upload your CV and complete the application form.</p>\n\n\n<p><strong>Please note that we are only able to accept applications from those with current working rights in Australia and who are not affected by travel restrictions.</strong></p>\n\n\n<p>While we review your application, get to know us by visiting <a data-mz=\"\" href=\"http://www.eng.unimelb.edu.au/about/join-mse/why-join-mse\" rel=\"no-follow\">http://www.eng.unimelb.edu.au/about/join-mse/why-join-mse</a></p>\n\n\n<p><em>This is a re-advertised position. Previous applicants need not re-apply.</em></p>\n\n\n<p><a data-mz=\"\" href=\"https://secure.dc2.pageuppeople.com/apply/422/gateway/default.aspx?sData=E7tTKDEyyWPyLsAhbioSIHJ8bh4aJXoOmX6sJF-U78evDr2ML6ioP7zjenzSU9xb0pCSD6r32kSBpcs0R8_cgzeeXqOJCTiTufTYNmmuGSXxnKcJsXZXptyd14E3LS_-xhUIaVW89YOswnDDtdK7NbnWMtSF_yU6JM8V2CmJdD8~\" rel=\"no-follow\">Position Description</a></p>\n\n\n<p><strong>Applications close: </strong>25 Oct 2020 11:55 PM AUS Eastern Daylight Time</p>\n\n\n","pdfUrl1":null,"location":"Melbourne, Australia","location1":"오세아니아","location2":null,"location3":null,"type":"2","applyUrl":"http://jobs.unimelb.edu.au/caw/en/job/903004/research-fellow-in-deep-learning-for-cyber-security","fileUrl1":null,"fileUrl2":null,"fileUrl3":null,"fileUrl4":null,"fileUrl5":null,"fileUrl6":null,"fileUrl7":null,"workingHour":"Full Time","contractType":"Fixed Term","salary":null,"original_id":"UNI|228769","original_domain":"https://www.timeshighereducation.com/unijobs","original_url":"https://www.timeshighereducation.com/unijobs/listing/228769/research-fellow-in-machine-learning-for-cyber-security/","original_isPremium":"false","closeType":2,"closedAt":null,"requireEducation":0,"managerTel":"","managerFax":null,"managerEmail":null,"managerName":"UNIVERSITY OF MELBOURNE","managerPhone":null,"managerAddress":null,"log_hit":8,"log_like":0,"publishState":1,"organizationName":null,"organizationName_en":null,"organizationName_alt":null,"createdAt":"2020-10-07T00:00:00.000Z","updatedAt":"2020-10-09T10:15:07.000Z"},"organization":{"organizationId":491,"lv1Id":null,"lv2Id":null,"name":"University of Melbourne","name_en":"The University of Melbourne","name_alt":",","introduction":"<p>The University of Melbourne is the leading centre of higher education and research in Australia. Founded in 1853, it’s situated in the heart of the <a href=\"https://www.onlymelbourne.com.au/melbourne-worlds-most-liveable-city#.W3JmipMzZBw\">world’s most liveable cities.</a></p><p> </p><p>With a strong research performance, excellence in learning and teaching, and intellectual and social capital, the University is consistently positioned with the world’s leading universities and currently ranked <a href=\"https://www.timeshighereducation.com/world-university-rankings/2018/world-ranking#!/page/1/length/25/sort_by/rank/sort_order/asc/cols/stats\">number one in Australia and number 32 in the world</a>.</p><p> </p><p> </p>","logoImg":"","logoImgSquare":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/sakjdlsada_1210463820856.png","homepageUrl":"https://www.unimelb.edu.au/","infoUrl":"https://www.timeshighereducation.com/world-university-rankings/university-melbourne","country":"AU","state":"Victoria","location":"오세아니아","address":"Grattan Street, Parkville, Victoria, VIC 3010, Australia","phoneNumber":"+ (61 3) 9035 5511","faxNumber":"","type":1,"univType1":"대학","univType2":"대학교","univType3":"","univType4":"본교","establishedAt":"1853-01-05T00:00:00.000Z","count_majors":null,"count_students":null,"meta_competitiveness":"","publishState":1,"updatedAt":"2020-04-16T16:43:19.000Z","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":null,"default_3_bannerImageMobile":null}}