Lecturer/Senior Lecturer in Data Analytics in Logistics & GIS
Institute of Transport and Logistic Studies
University of Sydney Business School
Reference no. 1537/0818C
- Join an organisation that encourages progressive thinking
- Be valued for your exceptional knowledge and experience in data analytics
- Academic Level B or C, Annual Remuneration Package: from $123K to $173K p.a. including basic salary, leave loading and 17% Superannuation. An additional salary supplement can may be negotiable.
About the opportunity
In this exciting position you will be valued for your exceptional knowledge and experience in data analytics in the context of behavioural logistics and supply chains. The strong focus is on Geographical Information Systems and associated modelling in education and research.
You will have a key role in delivering graduate courses in applied GIS and spatial data analytics where the applications have relevance to a logistics and supply chain setting. You may also be involved in supporting courses in the management programs in the Business School.
The Institute of Transport and Logistics Studies (ITLS) is Australia’s Key Centre of Excellence in Transport, Logistics and Supply Chain Research and Education and a recognised University Centre, ranked at ERA 5. ITLS undertakes graduate teaching, management development programs, grant and contract research and development in the fields of transport, infrastructure, logistics and supply chain management. ITLS teaches courses into the Masters of Commerce as well as specialist degrees in Transport and Logistics and Supply Chain Management. The institute also provides MPhil and Ph.D. research degrees in Transport, Infrastructure, Logistics and Supply Chain Management. The Institute specialises in a number of research areas, in particular, in data collection (e.g., surveys and GPS, big spatial data), public transport, discrete choice modelling methods, transport and logistics planning models and behavioural (discrete choice) supply chain systems.
ITLS has a growing focus on big data and the internet of things with a spatial (e.g., freight distribution, RFID tracking) and aspatial (e.g., activity in a warehouse) emphasis. The world is increasingly filled with systems, devices and sensors collecting large amounts of data on a continual basis. Most of these data are associated with locations that represent everything from the movement of individuals between activities to the flow of goods or transactions along a supply chain, and from the location of companies to those of their current and future customers. Taking this spatial context into account transforms analyses, problem solving, and provides a powerful method of visualising the world. This is the essence of Geographic Information Systems (GIS) including data structures, relational databases, spatial queries and analysis. Sources of spatial data include Global Positioning System (GPS), operational systems such as transaction data along with web-based sources highlighting both the potential and challenges associated with integrating each data source within an L&SCM GIS environment. These include identifying potential demand for new services, creating a delivery and scheduling plan for a delivery firm, anticipatory shipping for online retail demand, mapping the demand paths of distribution of freight, and more generally predictive analysis to anticipate internal risks such as shipping styles, maintenance requirements, shipping routes and external risks like weather conditions, road conditions, busy periods etc.
The University of Sydney Business School is regarded as a leader in the region, and is one of the very few Australian schools to hold business and accounting accreditation from AACSB International and EQUIS accreditation from the European Foundation for Management Development. It is also the only Australian member school of CEMS, the Community of European Management Schools & International Companies.
Our Business School has an outstanding international reputation in management research, learning, development of resources, and journal publishing and works in close cooperation with industry, government and the not-for-profit sectors. On the Camperdown campus there is a new $180m state-of-the-art learning environment for the Business School which, in the highly competitive global market for business education, will further enhance our ability to attract the best and brightest students, staff and researchers from around the world.
Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia’s first university and have an outstanding global reputation for academic and research excellence. Across our campuses, we employ over 7600 academic and non-academic staff who support over 60,000 students.
We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us.
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values in the pursuit of research excellence.. The successful applicants for both positions will have:
- a PhD in a relevant discipline.
- a track record of high quality, innovative, research-led teaching performance and curriculum development (especially at postgraduate level), in the broad areas of quantitative methods applicable to spatial systems.
- demonstrated quality research outcomes in one or more areas of quantitative expertise centred on quantitative logistics, GIS and big data analytics (that can include any number of statistical approaches for discrete or continuous variables used to extract and analyse large data sets including model estimation) that has present or future relevance in the logistics and supply chain context, especially the growing field of spatial choice behaviour in supply chains.
- experience supervising higher degree by research students.
- evidence of successful collaborations with team members and colleagues.
There are additional criteria for appointment at Senior Lecturer level and desirable criteria for appointment.
How to apply
For more information on the position and University, please view the candidate information pack available from the job’s listing on the University of Sydney careers website.
All applications must be submitted via the University of Sydney careers website. Visit sydney.edu.au/recruitment and search by the reference number 1537/0818C to apply.
Closing date: 11:30pm, 5 September 2018 (Sydney time)
Intending applicants are welcome to seek further information about the position from Professor David Hensher on +61 2 9114 1824 or email@example.com
For enquiries regarding the recruitment process or if you require reasonable adjustment or support in filling in the online application form please contact Mohammed Abu Naser on +61 2 8627 1215 or at firstname.lastname@example.org