Associate Professor, Information Systems and Business Analytics

Overview:

• 1x Full-time, ongoing position for a Senior Lecturer or an Associate Professor
• Salary Academic Level C ($135,814 - $ 156,608) or D ($163,538 - $ 180,166) + 17% Super depending on qualifications and experience
• Based at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the University

About You

Associate Professor:

The Associate Professor will provide leadership and foster excellence in teaching and research efforts of the School, within the University, and with the community, professional, commercial and industrial sectors. More specifically, the Associate Professor is responsible for providing original, innovative and

distinguished  contributions  to  the  School’s  programs  for  maintaining  and  advancing  their  scholarly, research  and/or  professional  capabilities  relevant  to  this  discipline  at  a  national  and  international  level. The Associate Professor will also teach and make a significant contribution to teaching and learning in the discipline with the aim of improving learning outcomes for students. The Associate Professor will make a significant contribution to the planning and strategic direction of the School, taking on academic leadership roles involving participation in various committees within the School, College and University and external to  the  University,  as  appropriate.  The  Associate  Professor  may  be  appointed  as  Deputy  Head  of School/Dean for a specific discipline or to provide strategic leadership for learning and teaching or research and scholarship.

Senior Lecturer:

The Senior Lecturer will contribute to the teaching and research efforts of the School. The incumbent is to make a significant contribution to the delivery of programs and to be actively involved in research, consulting and other professional activities.  The Senior Lecturer will develop, engage in and lead high
quality research projects that are aligned with the University’s research focus areas to achieve success in attracting research funding and to produce high quality outputs.  The Senior Lecturer will have an important research leadership role in embedding their research expertise into the life of the School and will be required to develop high-quality, productivity-driven networks across RMIT and with local, national and global, internal and external partners.  The Senior Lecturer may have responsibility for program management.

To be successful for Level D, you’ll have as a minimum:

• Demonstrated  ability  to  direct  an  award  program/s  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 in the field of AI, business analytics, and cybersecurity.
• 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, 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 lead scholarly development and manage and supervise academic teams and members. 
• 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. 
• Proven ability as an effective member of a management team that develops and achieves shared goals and objectives.
• In-depth expertise in Artificial intelligence, Business Analytics, Generative AI, and Cybersecurity and their applications in business
• Advanced expertise in researching and implementing secure, AI-driven information systems and data analytics solutions using Python, R, and other advanced languages, with a strong focus on machine learning frameworks, generative AI models, and prompt engineering techniques to advance decision-making, automation, and business intelligence.

To be successful for Level C, you’ll have as a minimum:

• Demonstrated ability to coordinate large courses and prepare and delivery programs 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. An ability to manage a large program or a number of small programs.
• Demonstrated ability to support student issues related to effective learning and extensive experience in supervising higher degree by research candidates to maximise research performance. 
• Emerging nationally recognised research track record including substantial record of research outputs in high quality outlets in the field of AI, business analytics, and cybersecurity.
• 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.
• Demonstrated ability to manage academic program team, supporting scholarly development of less experienced academic staff and a demonstrated uderstanding 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-depth  expertise  in  Artificial  intelligence,  Business  Analytics,  Generative  AI,  and  Cybersecurity and their applications in business
• Advanced  expertise  in  researching  and  implementing  secure,  AI-driven  information  systems  and data  analytics  solutions using  Python,  R,  and  other  advanced  languages,  with  a  strong focus  on machine  learning  frameworks,  generative  AI  models,  and  prompt  engineering  techniques  to advance decision-making, automation, and business intelligence

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

About the College

RMIT’s College of Business and Law takes an industry and student-centred approach to its courses and programs, ensuring graduates are work ready and able to tackle business challenges, balance stakeholder needs, act as socially responsible global citizens and create fair and positive futures for all. The College delivers impactful research informed by industry, which supports its strong position as a College at the intersection of business and technology with social impact. Its important work is underpinned by the principles of quality, collaboration, big ideas and putting people first. As one of the largest Business Schools in the Asia Pacific region, the College is comprised of five schools – four in Melbourne and one in Vietnam – and delivers a broad range of programs in Business and Law, ranging from Degree to PHD levels. The College’s Business and Law programs are delivered in Melbourne as well as through RMIT Online, with its Business programs also available in Vietnam and through partner institutions in Singapore and Shanghai. The College employs over 1000 staff and delivers programs to over 26,000 students. The College’s central operations are located at RMIT University’s City Campus in Melbourne and reside in the Swanston Academic and Emily McPherson buildings. Click here for further details about the College.

To Apply 

Please submit your CV and covering letter addressing the Key Selection Criteria for this position by clicking on the ‘Apply’ link at the top of this page.

For further information about this position, please see the Position Description hyperlinked below or contact Prof. Huan Vo-Tran via email huan.vo-tran@rmit.edu.au.  

Position Description – Associate Professor

Position Description – Senior Lecturer

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. Due to recent upgrades, position description links may not work on LinkedIn advertisements.  

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Applications Close:

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. 

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 (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers.

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