Research Fellow, Mathematical Modelling - JOBS.ac.kr(잡스) - 대한민국 최대 석박사 채용정보, 잡스!

{"job":{"jobId":2423422,"fk_accountId":null,"fk_organizationId":483,"fk_adminAccountId":null,"title":"Research Fellow, Mathematical Modelling","description":"\n\nJob Description\n\n\nApplications are invited for the following full-time position in the Saw Swee Hock School of Public Health:\n\n\nResearch fellow position(s) are available in the Saw Swee Hock School of Public Health to join the team of the Principal Investigator, Assistant Professor Hannah Clapham. The research team is newly established and growing and collaborates with other researcher groups with SSHSPH and internationally. The team works on modelling of infectious diseases for public health policy in Singapore and across Asia. See more details here: blog.nus.edu.sg/clapham/\n\n\nThe researchers will have the chance to work on one of a number of research projects using mathematical modelling to understand dynamics and optimal control of infectious diseases in Singapore and in Asia. Projects include modelling Japanese Encephalitis burden, modelling of dengue and COVID transmission and vaccination and control strategies and modelling within and between host transmission dynamics. There will be the opportunity to define and pursue independent research questions of mutual interest.\n\n\nMajor duties and responsibilities include:\n\n\n<ul>\n<li>undertaking literature reviews,</li>\n<li>leading on analysing data using statistical and mathematical modelling techniques,</li>\n<li>leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal,</li>\n<li>generating research questions,</li>\n<li>assisting the PI with supervision of junior team members</li>\n<li>collaborating with researchers in other national and international institutions</li>\n</ul>\n\n\nThe candidate must:\n\n\n<ul>\n<li>possess EITHER a PhD with topic covering mathematical modelling of biological systems or infectious disease epidemiology or related field OR PhD in computational or statistical field with an interest in the application of quantitative methods to epidemiology and public health questions</li>\n<li>be an independent worker who is well- organized and has an eye for detail.</li>\n<li>possess excellent written and verbal communication skills,</li>\n<li>possess the ability to work effectively and lead teams of colleagues within and across organisations and from different disciplines,</li>\n<li>have good proficiency in Statistical software (R),</li>\n</ul>\n\n\nIt would be desirable for the candidate to:\n\n\n<ul>\n<li>have good proficiency in other programming languages, for example Python/C/C++,</li>\n<li>have experience of inter-disciplinary collaborations</li>\n</ul>\n\n\nThe grade of appointment will be based on candidate’s academic qualifications and years of relevant experience.\n\n\nRecruitment is open immediately, and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application.\n\n\nWe regret that only shortlisted candidates will be notified.\n\n\nQualifications\n\n\nThe candidate must:\n\n\n<ul>\n<li>possess EITHER a PhD with topic covering mathematical modelling of biological systems or infectious disease epidemiology or related field OR PhD in computational or statistical field with an interest in the application of quantitative methods to epidemiology and public health questions</li>\n</ul>\n\n\n","pdfUrl1":null,"location":"Singapore","location1":"아시아","location2":null,"location3":null,"type":"2","applyUrl":"https://careers.nus.edu.sg/NUS/job/Kent-Ridge-Research-Fellow-Kent/5995844/","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|280816","original_domain":"timeshighereducation.com","original_url":"https://www.timeshighereducation.com/unijobs/listing/280816","original_isPremium":null,"closeType":1,"closedAt":"2022-03-11T00:00:00.000Z","requireEducation":10,"managerTel":"","managerFax":null,"managerEmail":null,"managerName":"NATIONAL UNIVERSITY OF SINGAPORE","managerPhone":null,"managerAddress":"Singapore","log_hit":1,"log_like":0,"publishState":1,"organizationName":null,"organizationName_en":null,"organizationName_alt":null,"del_yn":"N","createdAt":"2022-02-10T19:30:31.000Z","updatedAt":"2022-02-10T19:30:31.000Z"},"organization":{"organizationId":483,"lv1Id":null,"lv2Id":null,"name":"National University of Singapore","name_en":"National University of Singapore","name_alt":",","introduction":"As Singapore’s flagship university and among Asia’s best, the <a href=\"http://www.nus.edu.sg/\">National University of Singapore (NUS)</a> offers a global approach to education, research and entrepreneurship, with a focus on Asian perspectives and expertise.&nbsp;Our 17 faculties across three campuses in Singapore – Kent Ridge, Bukit Timah and Outram – provide a rigorous broad-based curriculum underscored by cross-faculty enrichment. We have pioneered many innovative academic programmes which include student exchange, entrepreneurial internships at <a href=\"https://enterprise.nus.edu.sg/educate/nus-overseas-colleges\">12 NUS Overseas Colleges</a>, as well as double, joint and concurrent degree programmes with some of the world’s best universities. Close to 40,000 students from 100 countries enrich our vibrant and diverse campus community.&nbsp;The University’s multidisciplinary and real-world approach to education, research and entrepreneurship enables us to work closely with industry, governments and academia to address crucial and complex issues relevant to Asia and the world. Researchers in our faculties, 29 university-level research institutes, research centres of excellence and corporate labs focus on themes that include energy, environmental and urban sustainability; treatment and prevention of diseases common among Asians; active ageing; advanced materials; as well as risk management and resilience of financial systems. The University’s latest research focus is to use data science, operations research and cybersecurity to support Singapore's Smart Nation initiative. We also strive to create a supportive and innovative environment to promote creative enterprise within our community.","logoImg":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/다운로드(2)_1347216054377.png","logoImgSquare":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/bin/1200px-NUS_coat_of_arms_196665413153.svg","homepageUrl":"http://www.nus.edu.sg","infoUrl":"https://www.timeshighereducation.com/world-university-rankings/national-university-singapore","country":"SG","state":"Singapore","location":"아시아","address":"21 Lower Kent Ridge Road, 119077, Singapore","phoneNumber":"+65 6516 6666","faxNumber":"","type":1,"univType1":"대학","univType2":"대학교","univType3":"","univType4":"본교","establishedAt":"1970-01-01T00:00:00.000Z","count_majors":null,"count_students":null,"meta_competitiveness":"","publishState":1,"updatedAt":"2020-04-03T18:01:08.000Z","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/production/images/1653632913461/nus.jpg","default_3_bannerImageMobile":null}}