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Found 16 matching student topics

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Water treatment for beef industry

Poor quality water can reduce productivity in the northern beef industry by up to 25%, which reduces the long-term economic sustainability of the industry.QUT has a long history of developing and deploying water treatment technologies at-scale and is seeking a skilled and enthusiastic student to adapt existing technologies or develop new technologies for the beef industry.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mechanical, Medical and Process Engineering
Research centre(s)

Organisation-wide process mining

Organisations continuously look for opportunities to improve or optimise their business processes.Process mining aids organisations to derive insights from event data stored in event logs, using advanced techniques that:discover process modelsverify conformance with rules and regulationsshow the performance of processes.As process improvement projects are involved and expensive, typically organisations select a few processes to optimise, using process identification.Ironically, process identification is a manual task, where KPIs are chosen. Based on these KPIs, a process is selected for improvement.In this project, …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Waste to wealth

This project relates to the conversion of waste products from the mining industry into useful products.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mechanical, Medical and Process Engineering
Research centre(s)

Centre for Clean Energy Technologies and Practices

Digital business models

The ongoing proliferation of a digital lifestyle and the exposure to global innovation raises the expectation level of customers for new products and services. The ongoing technological innovations make this possible, but require digital business models to turn them into viable commercial offerings.This is not only relevant for new (‘born-on-the-web’) companies, but also for traditional companies who run the risk of having their core business disrupted. While some struggle with the new business models (e.g. Kodak), others turn it into …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

Technological innovation systems and industry development

I am seeking research students (either MPhil or PhD) wanting to undertake research into the innovation systems that support society wide technological innovations and subsequent industrial development. For example, Australia, like many countries, is attempting to develop new industries in clean energy. For each of these, the pathway from innovation to a viable, self-sustaining industry is difficult. I am interested in exploring the barriers that prevent successful development of the innovation system in which each technology operates.Battery industries, with industry …

Study level
PhD, Master of Philosophy
Faculty
null
School
null
Research centre(s)
null
null

Understanding the molecular mechanisms of microbial adaptation to growth on biorefinery feedstocks

Biorefineries are centralised industrial facilities that transform waste and by-products from the crop and animal production sectors into products such as food, energy, and materials. As such, they are central 'pillars' of the circular bioeconomy.Some biorefinery feedstocks are challenging to transform using microorganisms because they contain 'unusual' carbohydrates or a complex mixture of inhibitory compounds.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Biology and Environmental Science
Research centre(s)

Discovering causal relationships between events in device logs

While advanced industrial control systems (ICS) attacks use multiple phases to launch their final attacks, existing security devices can only monitor local data without considering the consequence of attacks on other components. Identifying the causal relationship between events in device logs can provide comprehensive and system-wide visibility in industrial networks.Changes in a device log may trigger changes in other logs. Therefore, the analysis of causal relationships can be used for the prediction of causal interaction in networks. For example, it …

Study level
Master of Philosophy
Faculty
Science and Engineering Faculty
School
School of Computer Science
Research centre(s)

Industrial water treatment

Our research group has a strong focus on solving problems related to water treatment.Research topics in this area include, but are not limited to:coal seam gasshale oil and gasmunicipal wastewateracid mine drainagemining waterfood and beverage manufacturingagriculturedesalinationammonia and phosphate nutrient recoverymetal recovery.The majority of projects involve collaboration with industry.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mechanical, Medical and Process Engineering
Research centre(s)

Centre for Clean Energy Technologies and Practices

Ruminant digestion of temperate, sub-tropical, and tropical fodders

The nutritional value of fodder, a type of animal feed, varies depending on the climate in which it is produced (i.e., temperate, sub-tropical, and tropical). The reasons for these differences has not been fully explained.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Biology and Environmental Science
Research centre(s)

Entrepreneurship in the Australian mining industry

The Australian Centre for Entrepreneurship Research (ACE) at QUT Business School is seeking interested PhD candidates to work on a project that is concerned with the Australian mining industry. The project’s aim is to further develop a large scale longitudinal panel data set of companies in Australia’s mining industry, and to advance our knowledge of the “business side” of the booming resources industry. The primary data for this project is already collected and available for use. While the dataset lends …

Study level
PhD, Master of Philosophy
Faculty
QUT Business School
School
School of Management
Research centre(s)

Implement supervisory control of pan and fugal stations in the sugar industry using machine learning

For several years, we've recognised the benefit of a supervisory or advisory support tool for pan stage operations in sugar factories. However, it appears no system is currently operating to the extent where there are strong, beneficial results.Supervisors and operators currently manage the shift operations with:their knowledge and experience of the processthe operational plan for the pan and fugal stations nominated by the production manager.However, operating the pan and fugal stations optimally has become increasingly complex with heavy financial implications.To …

Study level
PhD
Faculty
Science and Engineering Faculty
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Agriculture and the Bioeconomy

Social and cultural dimensions of mining: industry, government, workers and community

Mining in Australia is big business, big news, highly diversified and highly complex. It is part of our collective history and culture, has substantial, wide-ranging and uneven impacts on contemporary everyday life in Australia including work and social reproduction, shapes the landscape and our senses of place and informs our potential futures.It is not only an important object of study but is also an excellent empirical lens through which to understand, for example, gender in organisations, uneven geographies of production …

Study level
PhD, Master of Philosophy
Faculty
QUT Business School
School
School of Management
Research centre(s)

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