Skip to content

Industry Placement and Internship Opportunities

All Faculties
  • Adelaide-CSIRO iPhD Program

    We are excited to announce that the University of Adelaide and CSIRO have now launched an elite industry-focused research training PhD Program with the first students starting in early 2019.

    Our 4 year Industry PhD Program includes a minimum six month industry placement offering you an enhanced opportunity to work in an industry-defined research area with support and supervision through a partnership between the University of Adelaide, CSIRO, and an Industry Partner.

    In addition, you will have the opportunity, along with your supervisory team, to engage in training and professional development activities. By building your abilities, skills, understanding, and encouraging professional growth, the iPhD will prepare you to hit the ground running after completion

    Within this unique program, the University and CSIRO will:

    • administer and support the program
    • provide a $40k p.a. scholarship
    • provide project research support funds of $10,000 per annum.

    Please visit the Adelaide-CSIRO iPhd website for more information on this program and scholarship

OPEN
Applications Close
31 October 2018
  • ANSTO SAAFE Research Internship Program 2017

    The SAAFE Program objective is to facilitate the conduct of research and foster research collaborations between France and Australia in nuclear science and engineering in the areas of Human Health, Environment and Nuclear Fuel Cycle. The program will support early career researchers at PhD level to expand research and innovation activities within Human Health, Environment and Nuclear Fuel Cycle, to initiate sustainable research networks and linkages to support Australia and France research and innovation.  Research internships supported through SAAFE require an international mobility of students from Australia to France or from France to Australia.

    Eligibility criteria: Applicants must be a PhD student currently enrolled in a French or AINSE member university; OR Enrolled in a PhD in collaboration between French and Australian institutions.

    AND

    Carrying out a research project which stimulates research collaborations between France and Australia in the following areas:

    • Human Health Research
    • Environmental Research
    • Nuclear Fuel Cycle Research

    Further information and applications are available from http://www.ainse.edu.au/grad_students2/saafe_research_internship_program

Closed
  • APR Internship Opportunities

    Australian Postgraduate Research (APR) Intern is Australia’s only all sector—all discipline national postgraduate internship program.

    APR.Intern facilitates short-term 3-5 month research HDR internships across all study disciplines and business sectors, including private sector, government, and not-for-profit organisations.  Internships are available in all states including major cities, as well as regional and rural areas. There are hundreds of research internships available each year.

    APR.Intern offers an additional path for industry to encourage development and innovation through research projects, giving postgraduate students the opportunity to apply their research expertise to projects while gaining invaluable industry experience.

    APR.Intern also supports industry-based training of PhD research students in all Australian universities, with the goal of increasing employability and broadening business and university engagement.

    Available Internships

    For available internships please visit the APR.Intern website. From time to time, the University of Adelaide may also highlight specific APR.Intern opportunities on this webpage. 

    The Benefits

    Apply Your Research: Turn your PhD theory into practice on an industry problem

    Build Your Career: Build your industry networks and enhance your experience

    Up Your Employability: Develop additional workplace skills to complement research expertise

    Get Paid: Earn a stipend for the duration of the internship

    Eligibility

    Eligibility requirements can differ, however all of the following criteria must be met by all participating students:

    • Be a PhD student currently enrolled at an Australian university
    • PhD candidature must be confirmed
    • Must be an Australian citizen, permanent resident, or an international student with the appropriate student visa
    • Applicants must have the written approval of their Principal Supervisor to apply

    How to Apply

    For Information and application requirements, please visit the APR.Intern website or email APR.Intern

    For further assistance, please also contact Nathan Crabe, Industry Research Placement Coordinator

Various closing dates
  • APR Internship with the Australian Bureau of Statistics

    Application of Statistical Relational Learning to Graph-Based Entity Resolution

    Location: National (Canberra preferred)

    Duration: 3 months

    Proposed start date: ASAP

    Keywords: Programming, R, Python, probabilistic data linking, real-world data, rational learning, entity-relationship graph

    Please note: Due to funding requirements, students must have Australian Citizenship or Permanent Residency to apply. Any applicants not meeting this requirement will be ineligible for this project.

    Project Background
    In order to better support evidence-based decision in government, statistical agencies increasingly need to combine heterogeneous data from diverse traditional and novel sources in a problem-specific way. Data linking refers to the logical association of observations about individuals of statistical interest – such as a persons or businesses – contained in two or more data sources. Each observation contains a set of values for certain predefined attributes of an individual at a particular point in time. Some of these attributes – either individually or in combination – are considered identifiers of the individuals in some population of which they a part. For example, person identifiers include name, address, age, sex, date of birth (or age), and birth place. When common identifiers exist in at least two data sets, they may be used as linkage variables.

    In the ABS, data linking has typically been formulated as a ‘record matching’ problem. In this case, the source data is structured in the form of tables, where a row in a table represents the record of an observation about an individual. Each observable attribute then corresponds to a distinct field of that record and is represented as a column in the table. Two sets of observations are considered linked if there is a match between their respective records. This is interpreted to mean that the two records refer to the same real individual. Record matches are determined either deterministically or probabilistically on the basis of some similarity measure evaluated over a set of linkage variables.

    The ABS has recently developed a graph-based approach to data representation, where the nodes (or vertices) of the graph represent the entities contained in one or more data sources, and the links (or edges) are known relationships that exist among them. Such entity-relationship graphs serve as the substrate for a more general approach to data linking based on link prediction. Two data entities are associated if the existence of a new link of some type can be inferred – either through deterministic or probabilistic means – from the relational structures contained in the graph. The linkage type of interest is usually logical equivalence, expressing the fact that two data entities refer to the same real individual. This is often referred to as entity resolution.

    The classical approach to probabilistic data linking in the record matching context is based on the Fellegi-Sunter method, often used with the Expectation Maximization (EM) algorithm to estimate the linkage parameters. This method is equivalent to learning a naïve Bayes classifier. In fact, record matching is essentially a classification problem, where record pairs are assigned to either a match or non-match class based on the pair-wise similarity scores of their linkage variables. A number of traditional machine learning methods – including support vector machine (SVM), decision trees, neural networks, and k-means clustering – have therefore been tried instead of the Sunter-Fellegi method.

    However, such learning methods treat the entities as independent and identically distributed. This is a spurious assumption in real-world data linking problems, and it ignores the fact that correlations in the relationships among entities provide additional information for entity resolution. For example, individual persons are members of a family or household, and have connections to businesses through employment. Thus, a significant recent advance in the area of probabilistic linking is the application of relational learning algorithms to entity resolution in a graph.

    Relational learning uses both attribute and relational similarities among entities to produce a more accurate link prediction. Data is represented in the form of an entity-relationship graph, consisting of different types of entities and relationships. New links in the graph are then inferred from known patterns of association. One way this can be done is to express the structure of the graph in the form of a third-order adjacency tensor, where each entry represents the presence or absence a particular link between two entities. New links can be derived through tensor factorisation. Other approaches are possible.

    Skills Required

    • Programming experience in R (preferably) or python

    To participate in the APR.Intern program, all applicants must satisfy the following criteria:

    • Be a PhD student currently enrolled at an Australian university
    • PhD candidature must be confirmed
    • Applicants must have the written approval of their Principal Supervisor to undertake the internship. This approval must be submitted at the time of application.
    • Internships are also subject to any requirements stipulated by the student’s and the academic mentor’s

    Please visit the APR Internship website for more information and details on how to apply

Closed
  • APR Internship with Bright Arena

    Exploring and Commercialising New Methods of Treating Dysbiosis in Chemotherapy Patients

    Location: North Terrace, Adelaide SA

    Duration: 5 months

    Proposed start date: 12 July 2018

    Applications Close: 24 June 2018

    Keywords: Microbiome, Startup, FMT, Technology, Cancer, Chemotherapy, Sepsis

    Project Background
    Sepsis kills 10% of patients who undergo chemotherapy. An increasing body of evidence points to the efficacy of repopulating the gut microbiome to assist with the potentially deadly side-effects associated with chemotherapy. Currently, faecal matter transplants (FMT’s) are the gold standard treatment to combat dysbiosis. Other more well publicised treatments like pre/pro biotics do not work in this scenario.  Effective, faecal donation is increasingly difficult (supply, high number of exclusion factors) and as such synthesising safe, viable samples is increasingly difficult. The team at Bright Arena is looking at ways to solve these problems while providing an effective substitute for a FMT.

    Research to be Conducted
    The team is currently working towards developing a synthetic FMT that will perform the same function as a regular FMT for chemotherapy patients. Along with validating the idea technically, the project requires the validation of the business model around the technology. Specifically, Bright Arena need to understand their early adopter (chemo patients), the problems they face, and whether their solution fits with their behaviours and needs.

    Students will work with Bright Arena to research and create a proto-business around the synthetic FMT. Students will learn start-up and entrepreneurial methods as well as provide input in the development of the product based on these learnings.

    Skills Required
    We are looking for a PhD student with the following skills:

    Desirable:

    • Microbiology background
    • Looking to learn about research commercialisation and entrepreneurship.
    • Keen to learn and comfortable with uncertainty.

    Expected Outcomes

    • Customer interviews and synthesis of learnings
    • Validated Business Model and accompanying pitch deck
    • Work with project team to input learnings into the development of the FMT

    Please visit the APR Internship website for more information and details on how to apply.

Closed
  • APR Internship with DST Group

    Opportunities (20 +)

    Location: Various

    Duration: 3-6 months

    Proposed start date: Various (October 2018 – February 2019)

    Applications Close: 24 October 2018

    Keywords:
    Aerospace/Aeronautical Engineering, Naval Architecture, Material Science, Computer Science, Information Technology, Software Engineering, Telecommunications, Mathematics, Physics, Mechanical/Mechatronic Engineering, Chemical, Biological, Radiological, Food Science, Social Science, Psychology.

    Please note: Due to the sensitivity and security of this project, students must have Australian Citizenship to apply. Any applicants not meeting this requirement will be ineligible for this project.

    Project Background
    The Defence Science and Technology Group (DST) is the Australian Government’s lead agency responsible for applying science and technology to safeguard Australia and its national interests. As one of Australia’s largest employers of scientists and engineers, DST deliver expert, impartial advice and innovative solutions for Defence and national security.

    DST have partnered with APR.Intern to place up to 100 PhD interns with Defence over four-years. With a focus on gender equity, the internships are open to all eligible STEM PhD students with support from the Department of Education and Training through the Supporting more women in STEM careers: APR.Intern—National Research Internship Program.

    Skills Required

    Technical requirements are listed on the DST Group list of projects. In addition, we are looking for PhD students with:

    • Good communication skills
    • Able to work in a multi-disciplinary team
    • Strong report writing skills, including non-technical
    • Eager to gain industry experience

    The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.

    Please visit the APR Internship website for more information and details on how to apply.

OPEN
Applications Close
24 October 2018
  • APR Internship with HARDI Australia

    Establishing an Appropriate, Best Practice Quality Assurance Platform

    Location: Cavan, Adelaide SA

    Duration: 4 months

    Proposed start date: 3 September 2018

    Applications Close: 22 August 2018

    Keywords: Organisational Culture, Quality Assurance, Qualitative Interviews, Observations, Gap Analysis, Organisational Behaviour, Organisational Engineering

    Please note: Due to funding requirements, students must have Australian Citizenship or Permanent Residency to apply. Any applicants not meeting this requirement will be ineligible for this project.

    Project Background
    The manufacturing functions of HARDI Australia comprise heavy steel fabrication, surface treatment and product assembly. Steel fabrication consists of cutting, bending and welding of varying dimensions of mild steel components into heavy frames. Assembly entails integration of mechanical, plastic, hydraulic, pneumatic and electronic components onto frames and drive trains then into finished products.

    From an employee’s perspective, the interaction between these processes and disciplines calls for the following:

    • An understanding of what workplace Quality entails
    • Understanding of the determinants and drivers of Quality
    • A commitment to Quality
    • Adherence to procedures
    • An understanding of the minimum standard required
    • A commitment to delivering a quality output
    • How to report Quality incidents
    • A commitment to Continuous Improvement

    At present, there is no formal, integrated Quality Assurance (QA) platform to support this initiative. The absence of a QA platform manifests in cultural, procedural and methodological deficiencies, each contributing on occasions to suboptimal product quality and customer brand experience.

    It is believed that an external party undertaking detailed PhD level study into structures, mechanisms and cultural enablers of QA has the potential to deliver both an objective assessment of the status quo and, a framework upon which HARDI could build its future QA platform

    Skills Required
    Essential

    • A practical understanding of the interrelationship between organisational culture, operational QA practices & how these combine to determine the quality of outputs
    • Experience conducting interviews with individuals occupying various organisational roles and from diverse backgrounds
    • Excellent interpersonal and communication skills

    Desirable

    • An understanding of quality assurance processes within an engineering/agribusiness setting

    Please visit the APR Internship website for more information and details on how to apply.

Closed
  • APR Internship with Legatus Group

    Exploring the Viability of a Mid North Sustainability Hub

    Location: Clare, SA

    Duration: 6 months

    Proposed start date: 19 November 2018

    Applications Close: 24 October 2018

    Keywords: Climate Change, Environmental Science, Social Sciences, Sustainability, Regional

    Project Background
    The Legatus Group of fifteen council members, has signed the Yorke Mid North (YMN) Regional Climate Change Adaptation Sector Agreement for the period November 2017 – June 2020 in partnership with Regional Development Australia Yorke & Mid North, Northern and Yorke Natural Resource Management and the South Australian Government.

    The Mid North Region of South Australia has a strong presence of renewable energy projects with major solar and wind farms and the recent Tesla lithium-ion batteryThe Legatus Group have been actively supporting the awareness of climate change issues for several years and in 2017 developed a Climate Change Guide for use by councils. The Legatus Group Climate Change Adaptation Plan 2018-2021 includes an action that was previously identified in the Integrated Vulnerability Assessment Plan 2011, to establish a knowledge center for regional climate change information and a pilot site for an eco-building/township.

    A previous collaborative effort in 2015 created the Goyder Line Sustainability Hub as a virtual office for regional climate change information.  The Goyder Line Sustainability Hub was implemented onto the RDA website.  This site is no longer supported nor visible.

    The pilot site for an eco-building/township was not reviewed although it was proposed that the offices at 155 Main North Road Clare (where State Government and Regional Development Offices are located) could be a location for a physical eco hub which could link with other government assets such the local council’s offices and other buildings. The physical hub was not implemented.

    The Legatus Group requires a thorough review of international and national attempts to establish physical and virtual sustainability hubs. Importantly, the review should highlight the legislative, commercial and logistical barriers associated with establishing a Sustainability Hub. This review will inform the viability of developing an Eco/Sustainability Hub in the Mid North Region of South Australia.

    The Legatus Group has budgeted for a concept plan to be developed subject to the outcomes of the research being sort.

    The intern will liaise directly with the Legatus Group CEO and be supported by the regional Climate Change Reference Group consisting of stakeholders from Council, Regional Development Australia and Environmental Officers

    Skills Required

    • Sound knowledge of climate change
    • Understanding of environmental Science and/or energy efficiency and sustainability
    • Understanding of regional community culture
    • The ability to analysis qualitative and quantitively data
    • Ability to search, collate and analysis literature from various sources
    • Experience of distilling large bodies of information into accessible information for diverse audiences
    • Experience of conducting interviews/focus group.

    Please visit the APR Internship website for more information and details on how to apply.

OPEN
Applications Close
24 October 2018

  • APR Internship with the Office for Digital Government

    Standardised Business Identity Verification 

    Location: Adelaide SA

    Duration: 3 months

    Proposed start date: 3 September 2018

    Applications Close: 22 August 2018

    Keywords: User Research, Data Analytics, Behavioural Insights, Digital Services, Service Delivery, Identity Systems, Digital Identity.

    Please note: Due to funding requirements, students must have Australian Citizenship or Permanent Residency to apply. Any applicants not meeting this requirement will be ineligible for this project.

    Project Background
    The Australian Government has announced its intention to develop a national federated digital identity system. This will include a digital identity platform that will allow users to verify their identity only once, and then use that identity to access multiple online services. Implementation and operation of the identity federation is underpinned by the Trusted Digital Identity Framework (TDIF). The TDIF provides a standard set of requirements and processes for entities participating in the system, allowing interoperability and trust.

    The Australian Government’s Digital Transformation Agency (DTA) is working with State and Territory governments, other Commonwealth agencies, and key private sector bodies to develop the TDIF, with the intention of allowing organisations to be accredited against the TDIF and connect to the platform. This would enable users to access services from multiple organisations and jurisdictions using the identity provider of their choice.

    As the TDIF is still being developed, certain aspects are yet to be determined. The TDIF includes defined levels of assurance and proofing requirements for individuals to establish and verify their identity, for example identity documents that are provided by the user to create a trusted and re-usable identity.

    However, the requirements for establishing a business identity, i.e. for one or more persons to act on behalf of a verified business, are currently being drafted for a consultation in mid-September 2018, to be finalised in December.

    This project will build on the DTA’s research to help determine business identity requirements, with a focus on South Australia.

    Skills Required

    Essential

    • Experience in data analytics and behavioural insights
    • User research

    Desirable

    • Strong interpersonal skills
    • Knowledge of concepts relating to identity and digital service delivery

    Please visit the APR Internship website for more information and details on how to apply.

Closed
  • APR Internship with Regional Development Australia

    Development of a Middle East Trade and Investment Strategy: Three Country Analysis: United Arab Emirates, Saudi Arabia and Qatar 

    Location: Strathalbyn or Adelaide SA

    Duration: 3 months

    Proposed start date: 3 September 2018

    Applications Close: 15 August 2018

    Keywords: Marketing Research, Analytical Skills, Economic Development

    Please note: Due to funding requirements, students must have Australian Citizenship or Permanent Residency to apply. Any applicants not meeting this requirement will be ineligible for this project.

    Project Background
    Regional Development Australia (RDA) Adelaide Hills, Fleurieu & Kangaroo Island is a partnership between the Australian, state and local governments to support the growth and development of Australia’s regions. RDA builds partnerships between governments, regional development organisations, local businesses, community groups and key regional stakeholders to provide strategic and targeted responses to economic, environmental and social issues affecting the regions of Australia.

    The RDA is developing a Middle East Trade and Investment Strategy. Asia Australis has recently completed a high-level analysis of MENA markets identifying key trade and inward investment opportunities for the region. They have highlighted three markets that justify in depth analysis that at first glance provide businesses in the region with trade opportunities.

    Skills Required
    Essential

    • Experience and/or understanding of researching international markets
    • Excellent analytical skills
    • Experience researching customs and regulatory frameworks in the context of trade and/or tourism
    • A thorough understanding of the challenges of economic development for regional Australia

    Desirable

    • A thorough understanding of South Australia's economic development plan, particularly in relation to regional South Australia
    • An understanding of Regional Development Australia's role

    Eligibility Requirements
    To participate in the APR.Intern program, all applicants must satisfy the following criteria:

    • Be a PhD student currently enrolled at an Australian university
    • PhD candidature must be confirmed
    • Applicants must have the written approval of their Principal Supervisor to undertake the internship. This approval must be submitted at the time of application.
    • Internships are also subject to any requirements stipulated by the student's and the academic mentor's university

    Please visit the APR Internship website for more information and details on how to apply.

Closed
  • APR Internship with Resolution Systems

    Advanced diagnostics of mining truck breakdowns through application of Artificial Intelligence/Machine Learning techniques

    Location: Adelaide, SA
    Duration: 5 months
    Proposed start date: 19 August (flexible depending on candidate)

    Keywords: MATLAB, Python, Pytorch, Tensorflow, Machine Learning, Artificial Intelligence, Internet of Things Technologies, Mechanical Engineering application of Machine Learning/Data Science techniques.

    Please note: Due to funding requirements, students must have Australian Citizenship or Permanent Residency to apply. Any applicants not meeting this requirement will be ineligible for this project.

    Project Background: Resolution Systems is a technology start-up pushing the limits of data analytics to optimise client operations. They believe that all operations have significant scope for improvements through the collection and intelligent analysis of data, through the application of Internet of Things technologies.

    Resolution Systems flagship product is MaxMine: an automated business improvement product which performs advanced analytics and data science on truck operational data to deliver significant cost savings and productivity gains to global miners.  It applies advanced engineering science and mathematics to operational data that is collected with hardware to provide greater insights to miners, into the performance of their trucks and mining equipment. Resolution Systems lives at the intersection of mechanical engineering and data science, and they want to find more people that share this passion.

    Asset breakdown is a significant problem which results in significant direct (maintenance) and indirect (production loss) costs. With a rich, contextualised data set collected from over two years of onsite data logging they are looking at ways to apply advanced techniques for tangible, near term, client outcomes. Data acquisition systems collect vast amounts of engine and asset data from which strong and tangible inferences about likely outcomes can be readily made. They are looking to apply state of the art technique in machine learning and anomaly detection to identify proactive actions for sites to mitigate breakdown occurrences.

    Skills Required

    Essential

    • An interest solving Mechanical problems through the application of data science techniques
    • Experience applying statistical learning techniques (such as machine learning / data science), preferably within your PhD program
    • Proficient with any of MATLAB or Python, with experience developing non-trivial algorithms
    • Experience of working with large data sets, to solve non-trivial problems
    • Demonstrable experience of presenting results to non-technical audiences
    • Experience of developing technical reports for a variety of audiences

    Desirable

    • Machine Learning Frameworks, such as Pytorch and Tensorflow
    • Experience developing dashboards and interfaces that convey information in an accessible manner
    • Experience working with software development tool including version control systems (such as GIT), issue management systems (JIRA) and application of the software development lifecycle

    Eligibility Requirements

    To participate in the APR.Intern program, all applicants must satisfy the following criteria:

    • Be a PhD student currently enrolled at an Australian university
    • PhD candidature must be confirmed
    • Applicants must have the written approval of their Principal Supervisor to undertake the internship. This approval must be submitted at the time of application.
    • Internships are also subject to any requirements stipulated by the student’s and the academic mentor’s university

    Please visit the APR.Intern website for more information and details on how to apply.

Closed
  • APR Internship with Shoal Engineering

    Research the Application of Natural Language Processing to Determine the Likelihood of Winning Bid Submissions

    Location:  Adelaide, SA or Canberra, ACT

    Duration: 5 Months

    Proposed start date: November 2018

    Applications Close: 31 October 2018

    Keywords: Natural Language Processing, NLP, Machine Learning, Programming, Software

    Eligibility: This internship is open to both domestic (Australian citizen or permanent resident) PhD students, or international PhD students with the appropriate student visa

    Project Background:Small to medium size organisations, such as Shoal, spend considerable, and in comparison, to large organisations, a disproportionally high level of staff effort analysing and assessing the likelihood of winning commercial bids against published requests for tenders. Shoal would like to better predict bid outcomes, and specifically understand:

    • when a bid should have been submitted but wasn’t;
    • when a bid that was submitted but should not have been; and
    • an indication of likely win percentage based on the ‘face value’ of the RFQTS.

    This will enable Shoal to increase our efficiency and effectiveness of submitting bids, and further enhance our organisational bid submission capability.

    This research aims to inform the process of assessing likely win/loss results of bid submission to improve company efficiency.

    Skills Required:

    • Knowledge of machine learning and NLP approaches
    • Programming and software engineering skills

    Please visit the APR Internship website for more information and details on how to apply.

OPEN
Applications Close
31 October 2018
  • APR Internship with Wakefield Regional Council

    Understanding Childcare Needs in the Wakefield Regional Council Area

    Location: Balaklava, SA (Location Negotiable)

    Duration: 3 months

    Proposed start date: 12 November 2018

    Applications Close: 24 October 2018

    Keywords: Economic Development, Social Work, Social Policy, Sociology, Rural Communities,

    Project Background
    The Wakefield Regional Council is situated about 100kms north of Adelaide and is home to 7,000 residents. The area is predominantly rural and land is used largely for farming and agriculture, but is dotted with a number of small towns including Port Wakefield, Hamley Bridge, Snowtown and Balaklava (the commercial hub).

    While the region’s population has grown over the last 10 years, the Council’s Strategic Management Plan 2017-2022 includes the pillar ‘Population Growth’, because the Council considers population as being critical to maintaining and enhancing services for existing residents, including the social services that underpin the fabric of our society such as education and healthcare. Some of the largest businesses in the Council region are experiencing ongoing difficulty attracting employees and there is anecdotal evidence that the lack of childcare availability in the region may be contributing to this.

    More than $100 million in private capital expenditure has been invested in the region over the past five years and $300 million is forecast for the next five years. The recent announcement of funding for the Port Wakefield Highway duplication and overpass, the proposed Wakefield Waters marina development including 3,000 waterfront residences, the ongoing expansion of greater metropolitan Adelaide to the north further pushing the horticultural industry northwards, and some of the region’s largest businesses looking to expand, will only add to pressure for access to local childcare facilities.

    Wakefield Regional Council is seeking an intern who has knowledge and/or understanding of rural communities in SA and who has a particular interest in conducting research to identify the need for social/community services and to explore different approaches to how these services can be provided within regional settings.

    Skills Required

    • Experience and understanding of statistical approaches, such as identifying and using proxy variables
    • The ability to collate, interpret and refine qualitative and quantitative data from multiple sources and present these findings in reports and presentations to senior management to aid decision-making;
    • Experience in conducting in-depth interviews or facilitating focus groups;
    • Experience in developing and administrating surveys in regional areas; and
    • An understanding or keen interest to learn about local government and the processes associated with developing and providing community services.

    Please visit the APR Internship website for more information and details on how to apply.

OPEN
Applications Close
24 October 2018
  • APR Internship with Wiring Solutions Plus

    A.I/Machine Learning Techniques to Enhance Customer Experience

    Location: Underdale, Adelaide SA

    Duration: 3 months

    Proposed start date: November 2018

    Applications Close: 10 October 2018

    Keywords: Artificial Intelligence, Machine Learning, Computer Software Development, Mathematics

    Please note:  Due to funding requirements, students must have Australian Citizenship or Permanent Residency to apply. Any applicants not meeting this requirement will be ineligible for this project.

    Project Background
    Wiring Solutions Plus, founded in 1979, is a custom manufacturer of electrical wiring harnesses & looms. The company is a supplier to many industries including manufacturers of radio communications products, precision agriculture products, electrical control/protection systems, electronics & new technology products. The company operates from one location in Adelaide, South Australia.

    Being a custom manufacturer, the company is faced with a high level of variation in the products required by its customer base & is not involved with the design of the products sold. Some customers supply quality drawings of the products they would like us to quote on, while others, supply either a hand-drawn sketch, a product description via email with supporting photos or, a sample of the product they require or a combination of this.

    Quoting a product requires a detailed analysis of the opportunity & involves part identification as well as establishing the manufacturing process. It is a time-consuming process which consumes a significant amount of human resources.

    The company currently uses Microsoft Access Database software to construct the quotation & to establish materials costs, the bill of materials, labour costs, factory cost & the sell price. Using this approach can take up to 8 hours to produce a quote.  During times when there is a spike in requests, the time taken to respond to individual customer requests can exceed 4 weeks. Apart from customer frustration, such delays have led to a loss of opportunities.

    The company wishes to explore ways of rapidly responding to customer RFQ’s without compromising the accuracy of quotations.

    Skills Required
    Essential

    • Sound knowledge of computer software development and machine learning
    • Experience of reviewing processes and identifying means to make them more effective and efficient
    • Experience of engaging with various stakeholders to gather information and perspectives regarding systems and processes

    Desirable

    • An understanding of cost calculation methods

    Please visit the APR Internship website for more information and details on how to apply.

Closed
  • APR Internship with Woodside Energy

    Data Science for Health & safety in the Oil and Gas Industry 

    Location: Perth, WA

    Duration: 4-5 months

    Proposaed Start Date: May 2018

    Disciplines: Mathematics, Engineering, IT and Computing

    Project Background
    Woodside is Australia¹s largest independent oil and gas company with a global portfolio, recognised for their world-class capabilities ¬as an explorer, developer, producer and supplier of energy. 

    Woodside has developed strong data science capability in support of the company’s growth strategy, and is leading the application of data science in the oil and gas industry. The Data Science team are tasked with deploying cognitive computing, advanced analytics, artificial intelligence and machine learning for improved decision making supported by facts and data.

    Research to be Conducted
    Woodside’s Data Science team is seeking an intern to develop valuable insights from our extensive health and safety (H&S) records through the application of advanced and novel data science techniques. The intern will work closely with the Data science team and the H&S subject matter experts to understand the data from various data sources, identify and analyse leading indicators to safety events, and develop high value outcomes with actionable insights.

    The successful candidate will gain invaluable exposure to the application of data science techniques to real problems, in a fast-paced and agile delivery environment.

    Skills Required
    We are looking for a PhD student with the following skills:

    • Strong data modelling skills
    • Previous experience working with/exposure to large data sets
    • Programming skills e.g.
    • Some prior knowledge in stochastic processes, graph theory and network analysis will be beneficial
    • Able to work as part of a team

    Visit the APR Internship website for more information and how to apply.

Closed
  • Nicolas Baudin Program Research Internship

    Applications for the Nicolas Baudin Program: “Internship in France” initiative are now open.

    A range of internship opportunities of between three and six months are available in partnership between a French University and company.   Most of these were created with a partner university in mind, however, students may apply for any of the available opportunities.   Additional detail about individual internships is available at: https://au.ambafrance.org/Internship-topics

    Should you be selected to participate in an internship:

    • The French Embassy finances the cost of the return flights from Australia to France and social security costs for the duration of the internship (up to 6 months).
    • The host university in France will provide a mandatory internship stipend (minimum of 554€ per month according to 2017 figures, subject to change).
    • The University of Adelaide will provide an additional grant to help cover daily costs during your stay in France ($2500).

    The deadline for applications to be submitted online is 30 April 2018 and internships must be taken up by 31/12/18.

    Further information about the scheme, is available on the Nicolas Baudin Program: “Internship in France”

    Access to the online application form.

    After creating an account, students are advised to choose the first option “internship in France initiative” in Section 2 of the application form “your project in France”.

Closed
  • Research Internship with Nauti-Craft

    Location: Dunsborough, WA

    Interstate applications accepted with the potential to work remotely in consultation with Business Development manager

    Duration: 5 months

    Disciplines: Engineering, Biological Sciences, Health Sciences

    Project Background

    The impact of whole of body vibration on high speed vessel operators has been identified as generating a significant occupational health and safety risk. These risks range from short term injury through long term spinal damage and operator fatigue.

    Nauti-Craft has created a unique vessel suspension system specifically designed to reduce these risks by reducing the magnitude of the vessel impacts.  Studies conducted by Nauti-Craft personnel using relatively simple measurement techniques and equipment have identified that impacts can be reduced by greater than 75%. These measurements have however focused on the transmission forces through the mechanical components of the vessel and have not focused on the human performance benefits.

    Further to this, a brief review of data and techniques associated with measuring operator fatigue arising from high speed vessel transit has identified no clear quantitative measurement technique. Given that special forces personnel regard vessel transit as qualitatively the most fatiguing element of operational deployment, Nauti-Craft would like to be able to provide demonstrable evidence of the benefits associated with its unique suspension system.

    Nauti-Craft is seeking an experienced researcher capable of developing, conducting and reporting on the human performance benefits available to high speed craft operators when using a Nauti-Craft equipped vessel. The primary reason behind the work is to provide compelling, independently generated and credible data demonstrating that the Nauti-Craft system is the best performing technology for managing whole of body vibration risk in high speed craft.

    Given that Nauti-Craft’s workforce are predominantly engineers, the requisite expertise is likely to come from someone with human factors qualifications and experience. Nauti-Craft can provide mechanical, electrical, instrumentation and control systems support around instrumentation however are lacking in the ability to translate these measurements into valuable human factors data.

    Research to be Conducted

    Nauti-Craft would like to focus on three key outcomes:

    • Quantify the benefits to operator fatigue associated with a reduction in whole of body vibration. There don't appear to be any solid metrics associated with fatigue, so this could be a significant study and is the primary focus.
    • Quantify the benefits to operator occupational health associated with a reduction in whole of body vibration. This can be associated with the current ISO 2631-5 standard for Whole of Body Vibration but needs credible independent assessment through a qualified researcher.
    • Quantify the benefits to operator safety (injury risk reduction) associated with a reduction in shock loading transmitted to the operators.

    It should be noted that all competitive technologies in this space utilise suspension seating which does not provide any assistance to standing or prone personnel. The Nauti-Craft system offers the same benefits regardless of whether operators are seated, standing or prone and these benefits need to be quantified in the study.

    Skills Required

    For this project, we are looking for PhD students with:

    • Experience, background and knowledge in:
      • Human factors
      • Human performance
      • Whole of body vibration (desirable)
    • Ability to work in a multidisciplinary team
    • Strong writing skills to deliver technical and non-technical reports

    Eligibility Information and how to apply

Closed
The University of Adelaide
return to top
Address

Level 2, Schulz Building,
The University of Adelaide
SA 5005
AUSTRALIA

Contact

Telephone: +61 8 8313 5882
Facsimile: +61 8 8313 5725
Email

Opening Hours

Mon-Fri: 9:00am-5:00pm