Senior Lecturer, Machine Learning - Full-time

Tenurable appointment Salary range: Level C AU$117,857 - AU$135,900 p.a. Faculty of Engineering and Mathematical Sciences Be Inspired Research Theme : Data-Intensive Discovery The University of Western Australia is one of the world's most prestigious research universities, located in a beautiful and diverse geographical region. With an incredibly rich local heritage, the University taps into global networks of knowledge, education and research. Our research focus extends far beyond the geographical boundaries of the University campus. From gravitational waves to the human microbiome, our research encompasses everything from improving human health and wellbeing to explaining the mysteries of the universe. Home of Nobel Laureates, Oscar winners, Gates Foundation recipients and winners of national teaching awards, we welcome inspiring individuals to help take research from the lab, to the classroom and the world. About the team The Faculty of Engineering and Mathematical Sciences encompasses three Schools – the School of Physics, Mathematics and Computing, the School of Engineering and the Oceans Graduate School. Past graduates include Rhodes Scholars, Fulbright Scholars, Eureka Prize winners, CEOs and seven of the most influential engineers in Engineering Australia's Top 100 list. The Faculty is home to a former Scientist of the Year and award-winning inventors, and part of the UWA Oceans Institute and the state of the art Indian Ocean Marine Research Centre. The Computer Science and Software Engineering Department within the School of Physics, Mathematics and Computing has an established and dedicated team of teaching and research staff providing broad-based undergraduate programs with solid foundations across computing disciplines, and developing graduates with high level expertise in computer programming. The department offers innovative Masters Programs in Software Engineering, Data Science and IT, attracting an increasing numbers of students. These are all complemented by a wide range of multi-disciplinary research activities with a concentration in Artificial Intelligence: computer vision, data mining and optimisation. About the opportunity The role will involve collaboration with researchers across different schools within the Faculty of EMS to build a strong, nationally recognised research programme that complements existing research groups. There'll be an expectation to undertake independent and collaborative research within the general area of Machine Learning and Data Science to generate research output of high impact and national recognition. As a passionate advocate for teaching excellence, the role is responsible for developing and delivering world-class and innovative undergraduate and Masters Curricula with a focus on Machine Learning and Data Science as well as contributing to the Department, School, Faculty and University community via service activities. Full details of the position's responsibilities and the selection criteria are outlined in the position description and applicants should clearly demonstrate they meet the selection criteria. Closing date: Monday, 16 April 2018 This position is open to applicants who require sponsorship to work in Australia. Please see the position description prior to applying: POSITION DESCRIPTION - Senior Lecturer – Machine Learning - Level C Our commitment to inclusion and diversity UWA is committed to a diverse workforce. We celebrate inclusion and diversity and believe gender equity is fundamental to achieving our goal of being a top 50 university by 2050. We have child friendly areas on campus, including childcare facilities. Flexible work arrangements, part-time hours and job sharing will all be considered. UWA has been awarded Top Ten Employer for LGBTI – inclusion of the Australian Workplace Equity Index (AWEI -2016). The University is also a proud member of the Athena SWAN/SAGE Pilot for Gender Equity. The Chronicle of Higher Education. Keywords: Lecturer, Location: Washington, DC - 20037