{"job":{"jobId":2423793,"fk_accountId":null,"fk_organizationId":483,"fk_adminAccountId":null,"title":"Research Engineer, AI-based Communication Learning","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;\">This position involves working on a project related to communication learning for joint cooperation in large multi-agent systems. The objective of this position includes contributing to the model development, solution, and implementation of novel communication learning methods using advanced reinforcement learning tools such as Graph Neural Networks. These models, once trained, will also be validated and tested in simulation on standard benchmarks (e.g., Starcraft Multi-Agent Challenge), as well as on actual robotic hardware on a number of cooperative multi-robot tasks (e.g., multi-agent pathfinding, search, or collaborative manipulation). The role involves the opportunity to work with the research team within the Mechanical Engineering department at the National University of Singapore. The successful candidate will be self-motivated with an outstanding track record in computer science, robotics, machine learning (in particular, reinforcement learning), or related disciplines.</p>\n\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\"><strong>The main research tasks for the project include but will not be limited to:</strong></p>\n\n\n<ul>\n<li>Developing novel decentralized communication learning methods to enable and improve cooperation in large multi-agent systems, based on local sensing and decision-making, and by relying on/extending recent reinforcement learning tools.</li>\n<li>Testing the devised models against state-of-the-art methods in standard simulation-based benchmarks widely used by the community.</li>\n<li>Implementing and testing the devised models on actual hardware, to experimentally validate their use and test their limit under real-life conditions.</li>\n<li>Coordinating a small team of researchers at different levels (e.g., FYP students, remote/on-site interns, master's students).</li>\n<li>Write papers and present work at top-tier local or international conferences or workshops.</li>\n</ul>\n\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\"><b>Qualifications</b></p>\n\n\n<ul>\n<li>BEng/BSc/MEng/MSc in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or related disciplines.</li>\n<li>Experience in developing communication learning models using recent reinforcement learning methods, and applying these models to standard benchmark tasks (e.g., Starcraft Multi-Agent Challenge).</li>\n<li>Interest and/or experience implementing machine learning models on robotic hardware.</li>\n<li>Proficiency with GNU/Linux, Python/C++ and at least one of the main machine learning libraries (e.g., tensorflow, keras, pytorch, CAFFE).</li>\n<li>Excellent interpersonal and communication skills.</li>\n<li>Good teamwork abilities, self-motivation and self-reflection.</li>\n<li>Proficiency in English language, both in oral and written form.</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</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-Engineer-%28AI-based-Communication-Learning%29-Kent/4308244/","fileUrl1":null,"fileUrl2":null,"fileUrl3":null,"fileUrl4":null,"fileUrl5":null,"fileUrl6":null,"fileUrl7":null,"workingHour":"Full Time","contractType":"Permanent","salary":null,"original_id":"UNI|281520","original_domain":"timeshighereducation.com","original_url":"https://www.timeshighereducation.com/unijobs/listing/281520","original_isPremium":null,"closeType":1,"closedAt":"2022-03-17T00:00:00.000Z","requireEducation":10,"managerTel":"","managerFax":null,"managerEmail":null,"managerName":"NATIONAL UNIVERSITY OF SINGAPORE","managerPhone":null,"managerAddress":"Singapore","log_hit":2,"log_like":0,"publishState":1,"organizationName":null,"organizationName_en":null,"organizationName_alt":null,"del_yn":"N","createdAt":"2022-02-16T19:24:54.000Z","updatedAt":"2022-02-16T19:24:54.000Z"},"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/1653632913461/nus.jpg","default_3_bannerImageMobile":null}}