Senior Lecturer, Artificial Intelligence in Health

Overview:

• 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) + 17% Super 

• Based at the City campus, but may be required to travel to other University campuses 

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-centred learning experiences.  

As the Senior Lecturer, you will contribute to the teaching and research efforts of the School and the DSAI discipline. You will make a significant contribution to the delivery of programs and to be actively involved in research, consulting and other professional activities.  Furthermore, this role will see you: 

• 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. 

• Have an important research leadership role in embedding their research expertise into the life of the School and Discipline and develop high-quality, productivity-driven networks across RMIT and with local, national and global, internal and external partners 

• You may have responsibility for program management.  

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 growing our strengths in areas such as:  

• AI in Health 

• Digital Health 

• Computational Biology and Bioinformatics 

• Algorithmic transparency/fairness 

We also are open to further developing existing capabilities in: 

• Health Data Engineering and Big Data Management  

• Cyber-physical Systems with a Health application 

• and other areas that complement teaching and research in Computer Science, Data Science and AI.  

We expect that applicants will be interested in collaborating with Health, MedTech, Life Sciences, and other relevant researchers to grow the impact and responsible use of AI in health. 

To be successful for this position, you will have: 

• Demonstrated ability to coordinate large courses and prepare and deliver programs at undergraduate and post-graduate levels in Computer Science, Data Science, and/or Artificial Intelligence, 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 relevant to AI in Health.  

• 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. 

Qualifications 

Mandatory: PhD or equivalent 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 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 Professor Jeffrey Chan via email jeffrey.chan@rmit.edu.au  

Position Description - Senior Lecturer, Artificial Intelligence in Health  

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Applications Close:

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