Course Director, Senior Lecturer/Associate Professor in Data Science and Innovation
Faculty of Transdisciplinary Innovation
Our vision is to be a leading public university of technology recognised for our global impact. We are a dynamic and innovative university, ranked by the Times Higher Education as Australia’s top young university, and located centrally in one of the world’s most liveable cities. With a culturally diverse campus life and extensive international exchange and research programs, UTS prepares graduates for the workplaces of today and tomorrow.
About the Faculty
As we move into a new world of work, there is a pressing demand for professionals who can take a transdisciplinary approach to solving problems, creating solutions, and identifying opportunities that would otherwise go untapped.
In the UTS Faculty of Transdisciplinary Innovation (FTDi), we’re focused on producing graduates who can deliver creative, entrepreneurial and highly collaborative solutions. Our courses are about building expertise that’s unhindered by traditional discipline boundaries. We have a vision to advance learning beyond professional silos, to push boundaries and to explore the role of transdisciplinarity in creating new solutions for a future world.
To do this, we offer a unique style of learning that emphasises collaboration across disciplines. It’s based on extensive research into the future economy, and shaped by the input of our industry partners, who play an active role in developing our courses.
About the role
As Course Director of the Master of Data Science and Innovation, you will lead the program helping to raise the profile of the degree and the graduates. Ultimately you will contribute widely to learning and teaching, research and engagement activities in the Faculty of Transdisciplinary Innovation (FTDi), collaborating across the faculty and wider university. The role will offer unique opportunities to lead the design and development of innovative educational experiences, contributing to research that is addressing complex real-world issues and engaging with the data science industry in unprecedented ways.
To be successful in securing this opportunity you will have:
- PhD or equivalent in a data science related domain with a strong knowledge of transdisciplinary educational and industry practice. Applicants with extensive industry experience are encouraged to apply.
- Demonstrated capability in learner focused curriculum development, including:
- evidence of strong higher education teaching achievements such as developing innovative learning experiences
- experience in course level development
- A track record of scholarship, impact and excellence in research, relative to opportunity and level of appointment sought. This may include:
- academic publications
- industry project outcomes
- competitive external funding
- successful PhD supervision
- or others forms of professional practice
- Ability to efficiently lead, manage and grow the MDSI during the intense planning cycles in a rapidly changing environment (staffing, budgets, resourcing, curriculum development)
- A strong track record in forging effective and productive collaborations with key internal and external stakeholders, both locally and internationally
- Excellent communication, academic and team management, leadership and mentoring skills
We look forward to receiving your application.
Remuneration & Benefits
Base Salary Range: $125,150AUD to $165,363AUD pa (Level C/D)
This role attracts 17% superannuation (pension) in addition to the base salary.
UTS staff also benefit from a wide range of Employee Benefits include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.
This position is full-time and appointment will be made on a continuing basis.
How To Apply
You are required to submit the following with your application
- a cover letter (maximum one page) indicating the role level you are applying for
- a limited CV (no more than 5 pages) plus an ORCID or equivalent
- a response to question 1) and a response to question 2. Maximum 500 word response to each question.
- Describe how you apply transdisciplinarity in your professional practice (e.g. Industry, academic, teaching, research)
2) What is your vision for a data science course in the transdisciplinary space? How would you develop and lead this vision?
For the full list of the selection criteria and role responsibilities please click the apply link and download the Position Statement from the UTS website.
Specific enquiries or issues with your application may be directed to the UTS Recruitment Team at email@example.com or on +61 (0) 2 9514 1080.
Please be advised that as part of the selection process that you may be requested to deliver a presentation, the audience for which may include individuals not on the Selection Panel.
Closing Date: April 4th, 2019 at 11.59pm (AEST)