Organisation/Company: AUSTRALIAN NATIONAL UNIVERSITY (ANU)Research Field: Computer science, MathematicsResearcher Profile: First Stage Researcher (R1)Country: AustraliaApplication Deadline: 31 Dec 2024 - 00:00 (UTC)Type of Contract: OtherJob Status: Full-timeIs the job funded through the EU Research Framework Programme? Not funded by a EU programmeIs the Job related to staff position within a Research Infrastructure? NoOffer DescriptionClassification: Academic Level BSalary package: $112,916 - $128,026 per annum plus 17% superannuationTerms: 2x Full time, Fixed Term (24 months)These positions will provide opportunities to:Conduct cutting edge research in machine learning and AI, such as but not limited to natural language processing and interpretable machine learning.Supervise research students and work as part of a larger team.Engage in inter-disciplinary collaborations, and collaborate with industry and government.About ANU and School of ComputingThe ANU by 2025 Strategic Plan calls for the University to serve society through transformational research and education. As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. The School of Computing in the ANU College of Engineering, Computing and Cybernetics (CECC) has a strong foundation in computing and information sciences at ANU.About the opportunityWe invite two new Postdoctoral / Research Fellows to join a CSIRO/ANU/UNSW project on artificial intelligence for health, safety and environmental objectives. The Research Fellow appointments will be two years fixed term. The research project connects with the research strengths in the school on artificial intelligence (AI), machine learning (ML) and vision, natural language understanding, and robotics.This appointment will focus on interpretable machine learning for data summarisation, with applications in climate change, health and environment. Competitive applicants are expected to have in-depth knowledge in at least one of the following areas: machine learning algorithms, human-centered machine learning, natural language and text processing. The intended research will involve algorithm design, formulating and solving human-centered machine learning problems, and connecting algorithmic innovation to application domains. The research fellow is expected to work with a team led by Prof Lexing Xie, Prof Jing Jiang and Dr Thang Bui.The intended research will have a mix of theoretical and empirical components. We invite researchers with diverse skill sets and research methodologies to apply.We are looking for strong team players with excellent interpersonal skills and the capacity to quickly develop productive and professional relationships with colleagues. You will have the opportunity to collaborate with talented PhD, master and undergraduate students in the School of Computing. Appointees will also have opportunities to gain teaching experience, in a way that aligns with their career development and project settings.We expect to hold reviews after the advertisement has closed, with potential future rounds scheduled in 2025.Working at ANUThis is an opportunity to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence. We offer:Attractive benefits and excellent support to maintain a healthy work/life balance, including four weeks paid vacation per year and 17% employer contribution to superannuation.Generous paid parental leave entitlements of up to 32 weeks.Designated parent rooms, quiet spaces, and childcare facilities on campus.Career support, training, mentoring & upskilling opportunities.Application informationIn order to apply for this role, please upload the following documents:A statement addressing the selection criteria.A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor).Other documents, if required.Applications which do not address the selection criteria may not be considered for the position.Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.#J-18808-Ljbffr