Senior Lecturer/Associate Professor, Data Science and Artificial Intelligence

Job Description

Organisation/Company: RMIT UNIVERSITY Research Field: Computer science Researcher Profile: Leading Researcher (R4) Country: Australia Application Deadline: 17 Feb 2025 - 00:00 (UTC) Type of Contract: Permanent Job Status: Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 x full time (or fraction to be negotiated), ongoing position available within the Discipline of DSAI Salary Academic Level C ($135,814 -$156,608) or D ($163,538 - $180,166) + 17% Super, depending on qualifications and experience Based at the City campus, but may be required to travel to other University campuses About the Roles In the School of Computing Technologies, we aim to change student experience by embracing evidence-informed pedagogical strategies, and experimenting with innovative, interactive, digitally enabled student-centered learning experiences. As a Senior Lecturer/Associate Professor , you will play a key role in advancing the teaching and research efforts of the School and DSAI discipline, contributing across the University and engaging with the community, as well as professional, commercial, and industrial sectors. Your contributions will include delivering high-quality programs and actively participating in research, consulting, and other professional activities. In this role, you will develop, lead, and engage in high-quality research projects aligned with the University's strategic research focus areas. You will aim to secure research funding, produce impactful outputs, and embed your research expertise into the School and DSAI discipline. A strong emphasis will be placed on fostering research leadership, building high-quality, collaborative networks across RMIT, and establishing partnerships with local, national, and global stakeholders. Additionally, you may assume responsibility for program management, contributing to the strategic direction and success of the School's academic programs. As the Associate Professor , your role will extend to: Driving innovative and distinguished contributions to advance the School's scholarly, research, and professional capabilities at national and international levels. Teaching and making a significant contribution to teaching and learning in the discipline to improve student learning outcomes. Contributing significantly to the planning and strategic direction of the School, including taking on academic leadership roles and participating in committees within the School, College, University, and externally, as appropriate. Potentially being appointed as Deputy Head of School/Dean for a specific discipline or providing strategic leadership in learning and teaching or research and scholarship. With this appointment we are looking to support the interdisciplinary and innovation objectives of the School and DSAI discipline, including fostering collaborations across the College of STEM and with other parts of the university. We are particularly interested in growing our strengths in areas such as: Algorithmic transparency/fairness We also are open to further developing existing capabilities in: Machine learning, particularly of unstructured data (text, images, graphs) Digital Health, AI in Health, Computational Biology and Bioinformatics Data-driven Decision Making and other areas that complement teaching and research in Computer Science, Data Science and AI. To be successful in the Level C position, you'll have: Demonstrated ability to coordinate large courses and prepare and deliver programs in Computer Science, Data Science and/or Artificial Intelligence at undergraduate and post-graduate levels, including high quality curriculum and program materials and ability to implement innovative approaches to student-centred learning and quality improvement. Ability to manage a large program or a number of small programs. Demonstrated ability to support student issues related to effective learning. Emerging nationally recognised research track record including substantial record of research outputs in high quality outlets and emerging international recognition in Artificial Intelligence or related areas. Extensive experience in research leadership with the ability to build and develop collaborative research teams, mentor academic staff to deliver high quality outcomes, attract and secure external research funding to sustain research effort and manage funded research projects including complex budgets and reporting requirements. Extensive experience in supervising higher degree by research candidates to maximise research performance. Demonstrated ability to manage academic program team, supporting scholarly development of less experienced academic staff. Demonstrated understanding of and commitment to financial, governance and quality management systems within a university. Demonstrated high level of interpersonal, communication and negotiating skills including the ability to consult with senior executives, external bodies, produce executive reports, negotiate agreed directions, outcomes and targets within a collaborative environment. In addition to the above, to be successful in the Level D position, you'll have: Demonstrated ability to direct an award program/s in Computer Science, Data Science, and/or Artificial Intelligence and implement program improvements and innovative approaches to student-centred learning and quality improvement programs. Nationally recognised research track record including substantial record of research outputs in high quality outlets and emerging international recognition in Artificial Intelligence or related areas. Demonstrated ability to lead scholarly development and manage and supervise academic teams and members. Proven ability as an effective member of a management team that develops and achieves shared goals and objectives. Qualifications Mandatory for Level C and D: PhD in Computer Science, Artificial Intelligence, or other relevant field Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. To Apply Please submit your CV and covering letter and separately address the Key Selection Criteria for your desired position by clicking on the 'Apply ' link at the top of this page. Candidates are asked to specify the level of the appointment they are applying for in the cover letter. For further information about this position, please see the Position Description hyperlinked below or contact Professor Jeffrey Chan via email For further information regarding recruitment processes, please contact Jennifer Pham, Senior Talent Acquisition Advisor via email Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Applications close on Monday 17 February 2025 at 11.59pm. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via or visit our Careers page for more contact information - . RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. We are a Circle Back Initiative Employer - we commit to respond to every applicant. #J-18808-Ljbffr