{"job":{"jobId":2422631,"fk_accountId":null,"fk_organizationId":483,"fk_adminAccountId":null,"title":"Research Fellow, Computation","description":"\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\"><b>Job Description</b></p>\n\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\">Development of multi-phase SPH tools and scientific machine learning approach for wind and wave load predictions at model-scale with preliminary outcomes. Application to practical problems involving M&O assets with final deliverable in terms of wind and wave load predictions, as well as fine-tuning of the developed scientific machine learning approach.</p>\n\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\"><b>Qualifications</b></p>\n\n\n<ul>\n<li>Candidate must have a strong interest and background in the creation of computational data from High Fidelity Computational Continuum Mechanics (CCM) Simulations i.e. CFD, CSD, 6-DOF Dynamics using open source solvers for multi-phase fluid dynamics of the air-sea interface to provide estimates of unsteady aerodynamic and wave loading on offshore superstructures, creation of reduced order models from these high fidelity data to train physics informed deep learning networks for fast and reliable hydrodynamic and wave load predictions on marine offshore superstructures.</li>\n<li>While the candidate is expected to have experience working with open source CCM tools such as OpenFOAM, Fluidity, SPH and FENICS, and as this is a project in progress, the interest in developing tools using DualSPHysics will be of prime interest for this position. The candidate must be familiar with Linux OS and parallel computing technologies and be adept at using High Performance Computing Platforms such as multi-core and GPU systems for all high fidelity computational simulations.</li>\n<li>Candidate should be interested in model order reduction techniques and able to use these data to construct reliable machine learning surrogates for prediction using Tensorflow / deep learning / python tools and be able to demonstrate this capability and is expected to build on the existing efforts in progress in this area for which training data is generated using DualSPHysics.</li>\n</ul>\n\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\"><b>More Information</b></p>\n\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\"><strong>Location</strong>: Kent Ridge Campus\n<strong>Organization</strong>: Engineering\n<strong>Department </strong>: Mechanical Engineering\n<strong>Employee Referral Eligible: </strong>No\n<strong>Job requisition ID :</strong> 10046</p>\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-%28Computation%29-Kent/6274744/","fileUrl1":null,"fileUrl2":null,"fileUrl3":null,"fileUrl4":null,"fileUrl5":null,"fileUrl6":null,"fileUrl7":null,"workingHour":"Full Time","contractType":"Permanent","salary":null,"original_id":"UNI|280075","original_domain":"timeshighereducation.com","original_url":"https://www.timeshighereducation.com/unijobs/listing/280075","original_isPremium":null,"closeType":1,"closedAt":"2022-03-04T00:00:00.000Z","requireEducation":10,"managerTel":null,"managerFax":null,"managerEmail":null,"managerName":"NATIONAL UNIVERSITY OF SINGAPORE","managerPhone":null,"managerAddress":"Singapore","log_hit":5,"log_like":0,"publishState":1,"organizationName":null,"organizationName_en":null,"organizationName_alt":null,"del_yn":"N","createdAt":"2022-02-03T00:25:57.000Z","updatedAt":"2022-02-03T00:25:57.000Z"},"organization":{"organizationId":483,"lv1Id":null,"lv2Id":null,"name":"National University of Singapore","name_en":"National University of Singapore","name_alt":",","introduction":"<p>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.</p><p> </p><p>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.</p><p> </p><p>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.</p>","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/1644197582127/special_NUS.jpg","default_3_bannerImageMobile":null}}